Question 1

When computing standard error for the t test, divide s by the square root of N - 1.

Accepted Answer

A) True 
 B)False

Question 2

Imagine the average time to complete a 4-year bachelor degree is actually 4.7 years based on national data.You collect data on the 68 psychology students who started school during the same semester as you, finding an average time to complete at 4.3 years with a standard deviation of 0.6 years.What is your 95 percent confidence interval?

Accepted Answer

A)  [4.23, 4.37] 
B)  [3.85, 4.15] 
C)  [4.10, 5.30] 
D)  [4.15, 4.45] 
A)  [4.23, 4.37] 
B)  [3.85, 4.15] 
C)  [4.10, 5.30] 
D)  [4.15, 4.45]

Question 3

When computing standard error for the t test, divide s by the square root of N.

Accepted Answer

A) True 
 B)False

Question 4

Based on the statistical results provided, which would lead us to reject the null hypothesis?

Accepted Answer

A)  t(5) = 3.2, p = 0.06 
B)  t(5) = 3.2, p = 0.10 
C)  t(5) = 3.2, p  0.05 
A)  t(5) = 3.2, p = 0.06 
B)  t(5) = 3.2, p = 0.10 
C)  t(5) = 3.2, p  0.05

Question 5

If a t statistic is calculated and found to be positive, then something has been done right in its calculation.

Accepted Answer

A) True 
 B)False

Question 6

The second step in conducting the single-sample t test includes:

Accepted Answer

A)  identifying a Type I error. 
B)  identifying a Type II error. 
C)  checking that assumptions have been met. 
D)  stating the null hypothesis. 
A)  identifying a Type I error. 
B)  identifying a Type II error. 
C)  checking that assumptions have been met. 
D)  stating the null hypothesis.

Question 7

The difference between the denominator of the z statistic and that of the single-sample t statistic is that in a:

Accepted Answer

A)  z statistic we divide by the actual population standard error (sM), but in a t statistic we divide by the estimated standard error ($\sigma$M). 
B)  z statistic we divide by the actual population standard error ($\sigma$M), but in a t statistic we divide by the estimated standard error (sM). 
C)  t statistic we divide by the actual population standard error (sM), but in a z statistic we divide by the estimated standard error ($\sigma$M). 
D)  t statistic we divide by the actual population standard error ($\sigma$M), but in a z statistic we divide by the estimated standard error (sM). 
A)  z statistic we divide by the actual population standard error (sM), but in a t statistic we divide by the estimated standard error ($\sigma$M). 
B)  z statistic we divide by the actual population standard error ($\sigma$M), but in a t statistic we divide by the estimated standard error (sM). 
C)  t statistic we divide by the actual population standard error (sM), but in a z statistic we divide by the estimated standard error ($\sigma$M). 
D)  t statistic we divide by the actual population standard error ($\sigma$M), but in a z statistic we divide by the estimated standard error (sM).

Question 8

As degrees of freedom increase, the critical cutoff for the t test decreases.

Accepted Answer

A) True 
 B)False

Question 9

As the sample size becomes smaller, the t distributions become:

Accepted Answer

A)  narrower. 
B)  wider. 
C)  more reliable. 
D)  more accurate. 
A)  narrower. 
B)  wider. 
C)  more reliable. 
D)  more accurate.

Question 10

A sample of 20 with a standard deviation of 92.41 results in a standard error calculated as 22.88.

Accepted Answer

A) True 
 B)False

Question 11

The standard deviation of a distribution of scores in a sample is known as _____, while the standard deviation of a distribution of means is referred to as _____.

Accepted Answer

A)  sM; s 
B)  s; $\sigma$ 
C)  s; sM 
D) $\sigma$M; $\sigma$ 
A)  sM; s 
B)  s; $\sigma$ 
C)  s; sM 
D) $\sigma$M; $\sigma$

Question 12

The z test uses estimated standard error whereas the t test uses actual standard error.

Accepted Answer

A) True 
 B)False

Question 13

The fifth step in conducting the single-sample t test is:

Accepted Answer

A)  identifying a Type I error. 
B)  determining the critical values or cutoffs. 
C)  calculating the test statistic. 
D)  determining the characteristics of the comparison distribution. 
A)  identifying a Type I error. 
B)  determining the critical values or cutoffs. 
C)  calculating the test statistic. 
D)  determining the characteristics of the comparison distribution.

Question 14

The corrected standard deviation formula serves to increase the estimate of variability.

Accepted Answer

A) True 
 B)False

Question 15

A dot plot graphs all the data in a sample, with the range of scores along the _____ and a dot for each data point above the corresponding value.

Accepted Answer

A)  x-axis 
B)  y-axis 
C)  variance 
D)  line of best fit 
A)  x-axis 
B)  y-axis 
C)  variance 
D)  line of best fit

Question 16

Is it necessary to correct for error when calculating the standard error for a t test? Explain your answer.

Accepted Answer

A)  Yes; we are estimating the standard deviation of the population. 
B)  Yes; we are estimating both the mean and standard deviation of the population. 
C)  No; we already corrected the standard deviation and are now reflecting the size of the sample. 
D)  No; we are estimating both the mean and standard deviation of the population. 
A)  Yes; we are estimating the standard deviation of the population. 
B)  Yes; we are estimating both the mean and standard deviation of the population. 
C)  No; we already corrected the standard deviation and are now reflecting the size of the sample. 
D)  No; we are estimating both the mean and standard deviation of the population.

Question 17

The symbol s is a _____ letter that describes a _____ statistic.

Accepted Answer

A)  Latin; sample 
B)  Greek; sample 
C)  Latin; population 
D)  Greek; population 
A)  Latin; sample 
B)  Greek; sample 
C)  Latin; population 
D)  Greek; population

Question 18

As degrees of freedom decrease, the critical cutoff for the t test increases.

Accepted Answer

A) True 
 B)False

Question 19

The confidence interval provides _____ information than the hypothesis test.

Accepted Answer

A)  less 
B)  the same 
C)  more 
D)  the opposite 
A)  less 
B)  the same 
C)  more 
D)  the opposite

Question 20

If a t statistic is calculated and found to be negative, then there has been an error in its calculation.

Accepted Answer

A) True 
 B)False

When computing standard error for the t test, divide s by the square root of N - 1.

When computing standard error for the t test, divide s by the square root of N.

Based on the statistical results provided, which would lead us to reject the null hypothesis?

If a t statistic is calculated and found to be positive, then something has been done right in its calculation.

The second step in conducting the single-sample t test includes:

The difference between the denominator of the z statistic and that of the single-sample t statistic is that in a:

As degrees of freedom increase, the critical cutoff for the t test decreases.

As the sample size becomes smaller, the t distributions become:

A sample of 20 with a standard deviation of 92.41 results in a standard error calculated as 22.88.

The standard deviation of a distribution of scores in a sample is known as _, while the standard deviation of a distribution of means is referred to as _.

The z test uses estimated standard error whereas the t test uses actual standard error.

The fifth step in conducting the single-sample t test is:

The corrected standard deviation formula serves to increase the estimate of variability.

A dot plot graphs all the data in a sample, with the range of scores along the _____ and a dot for each data point above the corresponding value.

Is it necessary to correct for error when calculating the standard error for a t test? Explain your answer.

The symbol s is a _ letter that describes a _ statistic.

As degrees of freedom decrease, the critical cutoff for the t test increases.

The confidence interval provides _____ information than the hypothesis test.

If a t statistic is calculated and found to be negative, then there has been an error in its calculation.

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 9: The Single-Sample T Test

When computing standard error for the t test, divide s by the square root of N - 1.

When computing standard error for the t test, divide s by the square root of N.

Based on the statistical results provided, which would lead us to reject the null hypothesis?

If a t statistic is calculated and found to be positive, then something has been done right in its calculation.

The second step in conducting the single-sample t test includes:

The difference between the denominator of the z statistic and that of the single-sample t statistic is that in a:

As degrees of freedom increase, the critical cutoff for the t test decreases.

As the sample size becomes smaller, the t distributions become:

A sample of 20 with a standard deviation of 92.41 results in a standard error calculated as 22.88.

The standard deviation of a distribution of scores in a sample is known as _____, while the standard deviation of a distribution of means is referred to as _____.

The z test uses estimated standard error whereas the t test uses actual standard error.

The fifth step in conducting the single-sample t test is:

The corrected standard deviation formula serves to increase the estimate of variability.

A dot plot graphs all the data in a sample, with the range of scores along the _____ and a dot for each data point above the corresponding value.

Is it necessary to correct for error when calculating the standard error for a t test? Explain your answer.

The symbol s is a _____ letter that describes a _____ statistic.

As degrees of freedom decrease, the critical cutoff for the t test increases.

The confidence interval provides _____ information than the hypothesis test.

If a t statistic is calculated and found to be negative, then there has been an error in its calculation.

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

The Normal Curve, Standardization and Z Scores

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

The standard deviation of a distribution of scores in a sample is known as _, while the standard deviation of a distribution of means is referred to as _.

The symbol s is a _ letter that describes a _ statistic.