Deck 8: Hypothesis Testing Using the One-Sample T-Test

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Question
What happens to the absolute value of <strong>What happens to the absolute value of   as df increases? It</strong> A)decreases. B)increases. C)remains the same. D)increases or decreases depending on whether   is positive or negative. <div style=padding-top: 35px> as df increases? It

A)decreases.
B)increases.
C)remains the same.
D)increases or decreases depending on whether <strong>What happens to the absolute value of   as df increases? It</strong> A)decreases. B)increases. C)remains the same. D)increases or decreases depending on whether   is positive or negative. <div style=padding-top: 35px> is positive or negative.
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Question
Suppose we have a 95% confidence interval of 12.23 and 16.75.What does this mean?

A)We are 95% confident that the true population mean is between 12.23 and 16.75.
B)We are 95% confident that the true population mean is either 12.23 or 16.75.
C)The average of 12.23 and 16.75 is probably the true population mean.
D)We are at least 95% certain that neither a Type I nor a Type II error was made.
Question
Which of the following requirements is common to both the z-test and the one-sample t-test?

A)Alpha is selected to be 0.01.
B)The raw score population forms a normal distribution, and the population mean and standard deviation are known.
C)The standard deviation of the raw score population is estimated by <strong>Which of the following requirements is common to both the z-test and the one-sample t-test?</strong> A)Alpha is selected to be 0.01. B)The raw score population forms a normal distribution, and the population mean and standard deviation are known. C)The standard deviation of the raw score population is estimated by   . D)There is one random sample of interval or ratio scores. <div style=padding-top: 35px> .
D)There is one random sample of interval or ratio scores.
Question
For a two-tailed test with α = 0.05, the <strong>For a two-tailed test with α = 0.05, the   value is</strong> A)either +1.96 or -1.96. B)both +1.96 and -1.96. C)either +1.645 or -1.645. D)different for each df. <div style=padding-top: 35px> value is

A)either +1.96 or -1.96.
B)both +1.96 and -1.96.
C)either +1.645 or -1.645.
D)different for each df.
Question
Which of the following is one of the requirements of a one-sample t-test?

A)The obtained scores are either ordinal or interval.
B)The population standard deviation is estimated by computing <strong>Which of the following is one of the requirements of a one-sample t-test?</strong> A)The obtained scores are either ordinal or interval. B)The population standard deviation is estimated by computing   . C)The population standard deviation is known. D)The population distribution is skewed. <div style=padding-top: 35px> .
C)The population standard deviation is known.
D)The population distribution is skewed.
Question
Which of the following would make it more likely your t-test will be significant?

A)Decreasing the degrees of freedom
B)Using a one-tailed test rather than a two-tailed test
C)Changing α from 0.05 to 0.01
D)Computing a confidence interval for μ
Question
What does the <strong>What does the   value indicate?</strong> A)The probability of rejecting the null hypothesis B)The probability of retaining the null hypothesis C)How far the population mean, μ, is from the mean of the sampling distribution of means D)How far the sample mean is from the μ of the sampling distribution of means <div style=padding-top: 35px> value indicate?

A)The probability of rejecting the null hypothesis
B)The probability of retaining the null hypothesis
C)How far the population mean, μ, is from the mean of the sampling distribution of means
D)How far the sample mean is from the μ of the sampling distribution of means
Question
Unless we use the correct from the t-distribution for the appropriate N, <strong>Unless we use the correct from the t-distribution for the appropriate N,  </strong> A)we will fail to reject . B)we will always reject . C)the probability of making a Type I error will increase. D)the probability of making a Type I error will not equal α. <div style=padding-top: 35px>

A)we will fail to reject .
B)we will always reject .
C)the probability of making a Type I error will increase.
D)the probability of making a Type I error will not equal α.
Question
When is a sample mean likely to represent a particular population mean?

A)It depends on sampling error.
B)It depends on our alpha.
C)When our t-obtained is greater than the expected value of t.
D)When we reject the null hypothesis.
Question
Interval estimation suggests a where we expect the to fall.

A)range of values; population parameter
B)specific value; population parameter
C)range of values; sample mean
D)specific value; sample mean
Question
Suppose a poll has been conducted on Americans' favorable attitudes towards a certain issue.If it is reported that Americans are 56%+4% in favor of the issue, which of the following is not a possible value represented within the margin of error?

A)51%
B)53%
C)56%
D)60%
Question
When is a t-test used instead of a z-test?

A)When the population μ is known
B)When the population deals with two samples
C)When the population standard deviation is known
D)When the population standard deviation is unknown
Question
For a given level of α, when does <strong>For a given level of α, when does   ?</strong> A)When the degrees of freedom for the t-test equal the degrees of freedom for the z-test B)When the degrees of freedom for the t-test equal N for the z-test C)When the degrees of freedom for the t-test are greater than 120 D)There is never a situation when   <div style=padding-top: 35px> ?

A)When the degrees of freedom for the t-test equal the degrees of freedom for the z-test
B)When the degrees of freedom for the t-test equal N for the z-test
C)When the degrees of freedom for the t-test are greater than 120
D)There is never a situation when <strong>For a given level of α, when does   ?</strong> A)When the degrees of freedom for the t-test equal the degrees of freedom for the z-test B)When the degrees of freedom for the t-test equal N for the z-test C)When the degrees of freedom for the t-test are greater than 120 D)There is never a situation when   <div style=padding-top: 35px>
Question
To achieve statistical significance for a one-sample t-test,

A)the t-obtained must be larger than the t-critical.
B)the t-obtained must equal the t-critical.
C)the t-obtained must be less than the t-critical.
D)the t-obtained must differ from the t-critical by .05.
Question
How is the t-distribution defined?

A)The distribution of all possible values of t
B)How far the sample mean is from the μ of the sampling distribution in estimated standard error units
C)The distribution of all possible values of t for random samples having the same N from the population described by <strong>How is the t-distribution defined?</strong> A)The distribution of all possible values of t B)How far the sample mean is from the μ of the sampling distribution in estimated standard error units C)The distribution of all possible values of t for random samples having the same N from the population described by   D)The distribution of all possible values of t for random samples having the same N from the population described by   <div style=padding-top: 35px>
D)The distribution of all possible values of t for random samples having the same N from the population described by <strong>How is the t-distribution defined?</strong> A)The distribution of all possible values of t B)How far the sample mean is from the μ of the sampling distribution in estimated standard error units C)The distribution of all possible values of t for random samples having the same N from the population described by   D)The distribution of all possible values of t for random samples having the same N from the population described by   <div style=padding-top: 35px>
Question
The precise location on the dependent measure where we expect our population mean to fall refers to

A)point estimation.
B)interval estimation.
C)margin of error.
D)confidence interval.
Question
After determining your one-tailed t-test is significant, what should you do?

A)See if the test is still significant at a lower α.
B)See if the test is still significant at a higher α.
C)See if the test is still significant if you use a two-tailed test.
D)Compute a confidence interval for μ.
Question
Which of the following is not one of the steps in a one-sample t-test?

A)Create the null hypothesis H0) and alternative hypothesis Ha).
B)Create the sampling t-distribution and find <strong>Which of the following is not one of the steps in a one-sample t-test?</strong> A)Create the null hypothesis H<sub>0</sub>) and alternative hypothesis H<sub>a</sub>). B)Create the sampling t-distribution and find   in the t-tables. C)Compute . D)Compare to   . <div style=padding-top: 35px> in the t-tables.
C)Compute .
D)Compare to <strong>Which of the following is not one of the steps in a one-sample t-test?</strong> A)Create the null hypothesis H<sub>0</sub>) and alternative hypothesis H<sub>a</sub>). B)Create the sampling t-distribution and find   in the t-tables. C)Compute . D)Compare to   . <div style=padding-top: 35px> .
Question
Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> as follows: <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> What is wrong?

A)Colin first took the square root of <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> and put this into the formula for <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> .He should have used the <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> = 16.37 value.
B)Colin should have divided here by N - 1.
C)Colin should not have taken the square root of 4.046/10 because he needs <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <div style=padding-top: 35px> in the formula for the t-test.
D)There is nothing wrong with the way Colin has done this problem.
Question
What is <strong>What is   ?</strong> A)The estimated population standard deviation B)The population standard deviation C)The estimated standard error of the mean D)The standard error of the mean <div style=padding-top: 35px> ?

A)The estimated population standard deviation
B)The population standard deviation
C)The estimated standard error of the mean
D)The standard error of the mean
Question
Using the following data, calculate the standard error of the mean.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51
Question
Using the data given below, perform a two-tailed t-test to compare the sample mean to μ = 35.5.Use α = .05 Using the data given below, perform a two-tailed t-test to compare the sample mean to μ = 35.5.Use α = .05  <div style=padding-top: 35px>
Question
Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .01.
51 48 52 50 48 52 50 48 52 54
50 52 54 47 49 53 47 46 50 51 Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .01. 51 48 52 50 48 52 50 48 52 54 50 52 54 47 49 53 47 46 50 51  <div style=padding-top: 35px>
Question
Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α =
.05.
51 48 52 50 48 52 50 48 52 54
50 52 54 47 49 53 47 46 50 51 Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α = .05. 51 48 52 50 48 52 50 48 52 54 50 52 54 47 49 53 47 46 50 51  <div style=padding-top: 35px>
Question
Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05.
51 48 52 50 48 52 50 48 52 54
50 52 54 47 49 53 47 46 50 51 Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05. 51 48 52 50 48 52 50 48 52 54 50 52 54 47 49 53 47 46 50 51  <div style=padding-top: 35px>
Question
If a researcher reports a one-sample t-test with df = 24, how many individuals participated in this study?
Question
Using the following data, compute the t-statistic.Use a known population mean of 28, a two-tailed test, and Using the following data, compute the t-statistic.Use a known population mean of 28, a two-tailed test, and   = 0.05. 22 19 23 26 18 22 21 31 30 25 20 24 25 23<div style=padding-top: 35px> = 0.05.
22 19 23 26 18 22 21
31 30 25 20 24 25 23
Question
Conduct a two-tailed t-test for Conduct a two-tailed t-test for   and μ = 48.Use α = .05.Calculate the   .<div style=padding-top: 35px> and μ = 48.Use α = .05.Calculate the Conduct a two-tailed t-test for   and μ = 48.Use α = .05.Calculate the   .<div style=padding-top: 35px> .
Question
Conduct a two-tailed t-test for Conduct a two-tailed t-test for   and μ = 87.Use α = .05.What is the value of   ?<div style=padding-top: 35px> and μ = 87.Use α = .05.What is the value of Conduct a two-tailed t-test for   and μ = 87.Use α = .05.What is the value of   ?<div style=padding-top: 35px> ?
Question
Using the following data, compute the t-statistic.Use a known population mean of 20, a one-tailed test in the upper tail, and Using the following data, compute the t-statistic.Use a known population mean of 20, a one-tailed test in the upper tail, and   = 0.05.. 22 19 23 26 18 22 21 31 30 25 20 24 25 23<div style=padding-top: 35px> = 0.05..
22 19 23 26 18 22 21
31 30 25 20 24 25 23
Question
For For     and what is   ?<div style=padding-top: 35px> For     and what is   ?<div style=padding-top: 35px> and what is For     and what is   ?<div style=padding-top: 35px> ?
Question
Using the following data, calculate the sample standard deviation.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51
Question
Suppose you conduct an experiment with 20 subjects and the Suppose you conduct an experiment with 20 subjects and the   turns out to be 0.69, which is not statistically significant.What is the correct way to report your results?<div style=padding-top: 35px> turns out to be 0.69, which is not statistically significant.What is the correct way to report your results?
Question
Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α =
.05.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51 Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α = .05. 55 48 59 50 48 52 50 48 57 54 50 52 54 43 44 53 40 46 50 51  <div style=padding-top: 35px>
Question
Using the following data, calculate the sample mean.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51
Question
Suppose we have a sample mean of 12, estimate standard error of the mean of 2.5, and a t-critical value of 2.306.What would be the lower and upper limits of our confidence interval?
Question
Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with     = 60% accuracy.The   = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students.<div style=padding-top: 35px> Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with     = 60% accuracy.The   = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students.<div style=padding-top: 35px> = 60% accuracy.The Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with     = 60% accuracy.The   = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students.<div style=padding-top: 35px> = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students.
Question
Suppose you conduct a one-tailed t-test and your results are significant at both the .05 and .01 levels.What should you report and why?
Question
What are the two basic consequences of going from a 95% to a 99% confidence interval?
Question
Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51 Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05. 55 48 59 50 48 52 50 48 57 54 50 52 54 43 44 53 40 46 50 51  <div style=padding-top: 35px>
Question
Identify the major difference between the z- and t-obtained formulas.
Question
Suppose you've read about a poll conducted by a certain media outlet surveying the popularity of the U.S.President.This poll puts the President's approval rating at 49.7% +3.5%.Would would be the range that we would expect the actual population values to fall?
Question
What is the name of the procedure we can use in the unlikely event that our t-obtained value falls between two t- critical values in the t-table?
Question
Suppose you're computing a one-sample t-test and you just finished computing your t-obtained.What is the next step for you to take?
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Deck 8: Hypothesis Testing Using the One-Sample T-Test
1
What happens to the absolute value of <strong>What happens to the absolute value of   as df increases? It</strong> A)decreases. B)increases. C)remains the same. D)increases or decreases depending on whether   is positive or negative. as df increases? It

A)decreases.
B)increases.
C)remains the same.
D)increases or decreases depending on whether <strong>What happens to the absolute value of   as df increases? It</strong> A)decreases. B)increases. C)remains the same. D)increases or decreases depending on whether   is positive or negative. is positive or negative.
A
2
Suppose we have a 95% confidence interval of 12.23 and 16.75.What does this mean?

A)We are 95% confident that the true population mean is between 12.23 and 16.75.
B)We are 95% confident that the true population mean is either 12.23 or 16.75.
C)The average of 12.23 and 16.75 is probably the true population mean.
D)We are at least 95% certain that neither a Type I nor a Type II error was made.
A
3
Which of the following requirements is common to both the z-test and the one-sample t-test?

A)Alpha is selected to be 0.01.
B)The raw score population forms a normal distribution, and the population mean and standard deviation are known.
C)The standard deviation of the raw score population is estimated by <strong>Which of the following requirements is common to both the z-test and the one-sample t-test?</strong> A)Alpha is selected to be 0.01. B)The raw score population forms a normal distribution, and the population mean and standard deviation are known. C)The standard deviation of the raw score population is estimated by   . D)There is one random sample of interval or ratio scores. .
D)There is one random sample of interval or ratio scores.
D
4
For a two-tailed test with α = 0.05, the <strong>For a two-tailed test with α = 0.05, the   value is</strong> A)either +1.96 or -1.96. B)both +1.96 and -1.96. C)either +1.645 or -1.645. D)different for each df. value is

A)either +1.96 or -1.96.
B)both +1.96 and -1.96.
C)either +1.645 or -1.645.
D)different for each df.
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5
Which of the following is one of the requirements of a one-sample t-test?

A)The obtained scores are either ordinal or interval.
B)The population standard deviation is estimated by computing <strong>Which of the following is one of the requirements of a one-sample t-test?</strong> A)The obtained scores are either ordinal or interval. B)The population standard deviation is estimated by computing   . C)The population standard deviation is known. D)The population distribution is skewed. .
C)The population standard deviation is known.
D)The population distribution is skewed.
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6
Which of the following would make it more likely your t-test will be significant?

A)Decreasing the degrees of freedom
B)Using a one-tailed test rather than a two-tailed test
C)Changing α from 0.05 to 0.01
D)Computing a confidence interval for μ
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7
What does the <strong>What does the   value indicate?</strong> A)The probability of rejecting the null hypothesis B)The probability of retaining the null hypothesis C)How far the population mean, μ, is from the mean of the sampling distribution of means D)How far the sample mean is from the μ of the sampling distribution of means value indicate?

A)The probability of rejecting the null hypothesis
B)The probability of retaining the null hypothesis
C)How far the population mean, μ, is from the mean of the sampling distribution of means
D)How far the sample mean is from the μ of the sampling distribution of means
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8
Unless we use the correct from the t-distribution for the appropriate N, <strong>Unless we use the correct from the t-distribution for the appropriate N,  </strong> A)we will fail to reject . B)we will always reject . C)the probability of making a Type I error will increase. D)the probability of making a Type I error will not equal α.

A)we will fail to reject .
B)we will always reject .
C)the probability of making a Type I error will increase.
D)the probability of making a Type I error will not equal α.
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9
When is a sample mean likely to represent a particular population mean?

A)It depends on sampling error.
B)It depends on our alpha.
C)When our t-obtained is greater than the expected value of t.
D)When we reject the null hypothesis.
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10
Interval estimation suggests a where we expect the to fall.

A)range of values; population parameter
B)specific value; population parameter
C)range of values; sample mean
D)specific value; sample mean
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11
Suppose a poll has been conducted on Americans' favorable attitudes towards a certain issue.If it is reported that Americans are 56%+4% in favor of the issue, which of the following is not a possible value represented within the margin of error?

A)51%
B)53%
C)56%
D)60%
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12
When is a t-test used instead of a z-test?

A)When the population μ is known
B)When the population deals with two samples
C)When the population standard deviation is known
D)When the population standard deviation is unknown
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13
For a given level of α, when does <strong>For a given level of α, when does   ?</strong> A)When the degrees of freedom for the t-test equal the degrees of freedom for the z-test B)When the degrees of freedom for the t-test equal N for the z-test C)When the degrees of freedom for the t-test are greater than 120 D)There is never a situation when   ?

A)When the degrees of freedom for the t-test equal the degrees of freedom for the z-test
B)When the degrees of freedom for the t-test equal N for the z-test
C)When the degrees of freedom for the t-test are greater than 120
D)There is never a situation when <strong>For a given level of α, when does   ?</strong> A)When the degrees of freedom for the t-test equal the degrees of freedom for the z-test B)When the degrees of freedom for the t-test equal N for the z-test C)When the degrees of freedom for the t-test are greater than 120 D)There is never a situation when
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14
To achieve statistical significance for a one-sample t-test,

A)the t-obtained must be larger than the t-critical.
B)the t-obtained must equal the t-critical.
C)the t-obtained must be less than the t-critical.
D)the t-obtained must differ from the t-critical by .05.
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15
How is the t-distribution defined?

A)The distribution of all possible values of t
B)How far the sample mean is from the μ of the sampling distribution in estimated standard error units
C)The distribution of all possible values of t for random samples having the same N from the population described by <strong>How is the t-distribution defined?</strong> A)The distribution of all possible values of t B)How far the sample mean is from the μ of the sampling distribution in estimated standard error units C)The distribution of all possible values of t for random samples having the same N from the population described by   D)The distribution of all possible values of t for random samples having the same N from the population described by
D)The distribution of all possible values of t for random samples having the same N from the population described by <strong>How is the t-distribution defined?</strong> A)The distribution of all possible values of t B)How far the sample mean is from the μ of the sampling distribution in estimated standard error units C)The distribution of all possible values of t for random samples having the same N from the population described by   D)The distribution of all possible values of t for random samples having the same N from the population described by
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16
The precise location on the dependent measure where we expect our population mean to fall refers to

A)point estimation.
B)interval estimation.
C)margin of error.
D)confidence interval.
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17
After determining your one-tailed t-test is significant, what should you do?

A)See if the test is still significant at a lower α.
B)See if the test is still significant at a higher α.
C)See if the test is still significant if you use a two-tailed test.
D)Compute a confidence interval for μ.
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18
Which of the following is not one of the steps in a one-sample t-test?

A)Create the null hypothesis H0) and alternative hypothesis Ha).
B)Create the sampling t-distribution and find <strong>Which of the following is not one of the steps in a one-sample t-test?</strong> A)Create the null hypothesis H<sub>0</sub>) and alternative hypothesis H<sub>a</sub>). B)Create the sampling t-distribution and find   in the t-tables. C)Compute . D)Compare to   . in the t-tables.
C)Compute .
D)Compare to <strong>Which of the following is not one of the steps in a one-sample t-test?</strong> A)Create the null hypothesis H<sub>0</sub>) and alternative hypothesis H<sub>a</sub>). B)Create the sampling t-distribution and find   in the t-tables. C)Compute . D)Compare to   . .
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19
Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. as follows: <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. What is wrong?

A)Colin first took the square root of <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. and put this into the formula for <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. .He should have used the <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. = 16.37 value.
B)Colin should have divided here by N - 1.
C)Colin should not have taken the square root of 4.046/10 because he needs <strong>Colin has computed the variance for his 10 raw scores and obtained = 16.37.He then computed     as follows:   What is wrong?</strong> A)Colin first took the square root of   and put this into the formula for   .He should have used the   = 16.37 value. B)Colin should have divided here by N - 1. C)Colin should not have taken the square root of 4.046/10 because he needs   in the formula for the t-test. D)There is nothing wrong with the way Colin has done this problem. in the formula for the t-test.
D)There is nothing wrong with the way Colin has done this problem.
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20
What is <strong>What is   ?</strong> A)The estimated population standard deviation B)The population standard deviation C)The estimated standard error of the mean D)The standard error of the mean ?

A)The estimated population standard deviation
B)The population standard deviation
C)The estimated standard error of the mean
D)The standard error of the mean
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21
Using the following data, calculate the standard error of the mean.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51
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22
Using the data given below, perform a two-tailed t-test to compare the sample mean to μ = 35.5.Use α = .05 Using the data given below, perform a two-tailed t-test to compare the sample mean to μ = 35.5.Use α = .05
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23
Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .01.
51 48 52 50 48 52 50 48 52 54
50 52 54 47 49 53 47 46 50 51 Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .01. 51 48 52 50 48 52 50 48 52 54 50 52 54 47 49 53 47 46 50 51
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24
Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α =
.05.
51 48 52 50 48 52 50 48 52 54
50 52 54 47 49 53 47 46 50 51 Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α = .05. 51 48 52 50 48 52 50 48 52 54 50 52 54 47 49 53 47 46 50 51
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25
Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05.
51 48 52 50 48 52 50 48 52 54
50 52 54 47 49 53 47 46 50 51 Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05. 51 48 52 50 48 52 50 48 52 54 50 52 54 47 49 53 47 46 50 51
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26
If a researcher reports a one-sample t-test with df = 24, how many individuals participated in this study?
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27
Using the following data, compute the t-statistic.Use a known population mean of 28, a two-tailed test, and Using the following data, compute the t-statistic.Use a known population mean of 28, a two-tailed test, and   = 0.05. 22 19 23 26 18 22 21 31 30 25 20 24 25 23 = 0.05.
22 19 23 26 18 22 21
31 30 25 20 24 25 23
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28
Conduct a two-tailed t-test for Conduct a two-tailed t-test for   and μ = 48.Use α = .05.Calculate the   . and μ = 48.Use α = .05.Calculate the Conduct a two-tailed t-test for   and μ = 48.Use α = .05.Calculate the   . .
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29
Conduct a two-tailed t-test for Conduct a two-tailed t-test for   and μ = 87.Use α = .05.What is the value of   ? and μ = 87.Use α = .05.What is the value of Conduct a two-tailed t-test for   and μ = 87.Use α = .05.What is the value of   ? ?
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30
Using the following data, compute the t-statistic.Use a known population mean of 20, a one-tailed test in the upper tail, and Using the following data, compute the t-statistic.Use a known population mean of 20, a one-tailed test in the upper tail, and   = 0.05.. 22 19 23 26 18 22 21 31 30 25 20 24 25 23 = 0.05..
22 19 23 26 18 22 21
31 30 25 20 24 25 23
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31
For For     and what is   ? For     and what is   ? and what is For     and what is   ? ?
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32
Using the following data, calculate the sample standard deviation.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51
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33
Suppose you conduct an experiment with 20 subjects and the Suppose you conduct an experiment with 20 subjects and the   turns out to be 0.69, which is not statistically significant.What is the correct way to report your results? turns out to be 0.69, which is not statistically significant.What is the correct way to report your results?
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34
Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α =
.05.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51 Using the following data, conduct a one-tailed t-test in the upper tail.Use a known population mean of 49 and α = .05. 55 48 59 50 48 52 50 48 57 54 50 52 54 43 44 53 40 46 50 51
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35
Using the following data, calculate the sample mean.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51
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36
Suppose we have a sample mean of 12, estimate standard error of the mean of 2.5, and a t-critical value of 2.306.What would be the lower and upper limits of our confidence interval?
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37
Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with     = 60% accuracy.The   = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students. Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with     = 60% accuracy.The   = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students. = 60% accuracy.The Some people claim psychology is common sense.If this is true, then students who have not taken psychology courses should be able to predict the outcomes of experiments as well as psychology majors.If it is not, nonpsychology students should perform worse than psychology students.Psychology students typically predict outcomes with μ = 69% accuracy.A sample of 15 nonpsychology students predicted with     = 60% accuracy.The   = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students. = 2.606.If appropriate, calculate the 95% confidence interval for nonpsychology students.
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38
Suppose you conduct a one-tailed t-test and your results are significant at both the .05 and .01 levels.What should you report and why?
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39
What are the two basic consequences of going from a 95% to a 99% confidence interval?
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40
Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05.
55 48 59 50 48 52 50 48 57 54
50 52 54 43 44 53 40 46 50 51 Using the following data, conduct a two-tailed t-test.Use a known population mean of 49 and α = .05. 55 48 59 50 48 52 50 48 57 54 50 52 54 43 44 53 40 46 50 51
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41
Identify the major difference between the z- and t-obtained formulas.
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42
Suppose you've read about a poll conducted by a certain media outlet surveying the popularity of the U.S.President.This poll puts the President's approval rating at 49.7% +3.5%.Would would be the range that we would expect the actual population values to fall?
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43
What is the name of the procedure we can use in the unlikely event that our t-obtained value falls between two t- critical values in the t-table?
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44
Suppose you're computing a one-sample t-test and you just finished computing your t-obtained.What is the next step for you to take?
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