Question 1

The probability of correctly accepting H1 when H1 is true is provided by.

Accepted Answer

A)  $\alpha$ 
B)  $1-\alpha$ 
C)  $\beta$ 
D)  $1 - \beta$ 
A)  $\alpha$ 
B)  $1-\alpha$ 
C)  $\beta$ 
D)  $1 - \beta$

Question 2

In a directional one-sample t test, the rejection region is located in of the sampling distribution of t.

Accepted Answer

A) the left tail 
B) the right tail 
C) either the left tail or the right tail, but not both tails 
D) both tails 
A) the left tail 
B) the right tail 
C) either the left tail or the right tail, but not both tails 
D) both tails

Question 3

If tobs falls into a rejection region, then the decision is to.

Accepted Answer

A) reject the null hypothesis 
B) fail to reject the null hypothesis 
C) do not accept the alternative hypothesis 
D) increase the value of alpha 
A) reject the null hypothesis 
B) fail to reject the null hypothesis 
C) do not accept the alternative hypothesis 
D) increase the value of alpha

Question 4

Degrees of freedom for a statistic refers to the number of that are free to vary when calculating that statistic.

Accepted Answer

A) sample statistics 
B) population parameters 
C) scores in the sample 
D) scores in the population 
A) sample statistics 
B) population parameters 
C) scores in the sample 
D) scores in the population

Question 5

If zobs falls into a rejection region, then the hypothesis is.

Accepted Answer

A) null; accepted 
B) alternative; rejected 
C) null; not rejected 
D) alternative; accepted 
A) null; accepted 
B) alternative; rejected 
C) null; not rejected 
D) alternative; accepted

Question 6

The 95% confidence interval implies that the probability is .95 that the interval.

Accepted Answer

A) contains the sample statistic 
B) excludes the sample statistic 
C) contains the population parameter 
D) excludes the population parameter 
A) contains the sample statistic 
B) excludes the sample statistic 
C) contains the population parameter 
D) excludes the population parameter

Question 7

If the result of a one-sample t test is reported as p > .05, then you know that the.

Accepted Answer

A) null hypothesis was rejected 
B) null hypothesis was not rejected 
C) alternative hypothesis was accepted 
D) probability of a Type II error was .05 
A) null hypothesis was rejected 
B) null hypothesis was not rejected 
C) alternative hypothesis was accepted 
D) probability of a Type II error was .05

Question 8

The 95 percent confidence interval for a population mean is given by.

Accepted Answer

A)  $\bar { X } - \left( t _ { .01 } \right) ( s \bar { X } )$ to $\bar { X } + \left( t _ { .01 } \right) ( s \bar { X } )$ 
B)  $\bar { X } - \left( \operatorname { t.g5 } ^ { .95 } \right) \left( s _ { X } \right)$ to $\bar { X } + \left( t _ { .95 } \right) \left( s _ { X } \right)$ 
C)  $\bar { X } - \left( t _ { 05 } \right) \left( s ^ { \prime } \right)$ to $\bar { X } + \left( t _ { 05 } \right) \left( s _ { X } \right)$ 
D)  $\bar { X } - \left( t _ { .05 } \right) ( s )$ to $\bar { X } + \left( t _ { .05 } \right) ( s )$ 
A)  $\bar { X } - \left( t _ { .01 } \right) ( s \bar { X } )$ to $\bar { X } + \left( t _ { .01 } \right) ( s \bar { X } )$ 
B)  $\bar { X } - \left( \operatorname { t.g5 } ^ { .95 } \right) \left( s _ { X } \right)$ to $\bar { X } + \left( t _ { .95 } \right) \left( s _ { X } \right)$ 
C)  $\bar { X } - \left( t _ { 05 } \right) \left( s ^ { \prime } \right)$ to $\bar { X } + \left( t _ { 05 } \right) \left( s _ { X } \right)$ 
D)  $\bar { X } - \left( t _ { .05 } \right) ( s )$ to $\bar { X } + \left( t _ { .05 } \right) ( s )$

Question 9

The shape of the sampling distribution of t is.

Accepted Answer

A) typically normally distributed 
B) positively skewed 
C) determined by the degrees of freedom 
D) identical to the distribution of z when the sample size is 30 or more 
A) typically normally distributed 
B) positively skewed 
C) determined by the degrees of freedom 
D) identical to the distribution of z when the sample size is 30 or more

Question 10

The probability level that establishes how improbable an observed value of z must be in order to reject the null hypothesis is known as the level.

Accepted Answer

A) rejection 
B) significance 
C) decision 
D) critical 
A) rejection 
B) significance 
C) decision 
D) critical

Question 11

The statistical symbol H1 represents a(n) hypothesis.

Accepted Answer

A) null 
B) alternative 
C) research 
D) true 
A) null 
B) alternative 
C) research 
D) true

Question 12

A statistically significant difference with the z test means that.

Accepted Answer

A) the population mean is larger than the hypothesized sample value 
B) the alpha level was higher than expected by chance alone 
C) the sample mean comes from a population with a mean different from the hypothesized population value 
D) the alpha level was lower than expected by chance alone 
A) the population mean is larger than the hypothesized sample value 
B) the alpha level was higher than expected by chance alone 
C) the sample mean comes from a population with a mean different from the hypothesized population value 
D) the alpha level was lower than expected by chance alone

Question 13

If a(n) hypothesis is not rejected when in fact it is true, then error has occurred.

Accepted Answer

A) null; no 
B) null; a Type I 
C) alternative; no 
D) alternative; a Type II 
A) null; no 
B) null; a Type I 
C) alternative; no 
D) alternative; a Type II

Question 14

From a statistical point of view, results are "significant" because they occur.

Accepted Answer

A) rarely by chance when the null hypothesis is true 
B) rarely by chance with small samples 
C) rarely by chance when the alternative hypothesis is true 
D) frequently because of sampling error 
A) rarely by chance when the null hypothesis is true 
B) rarely by chance with small samples 
C) rarely by chance when the alternative hypothesis is true 
D) frequently because of sampling error

Question 15

A nonsignificant difference with the z test means that.

Accepted Answer

A) the population mean is larger than the hypothesized sample value 
B) H0 was rejected and H1 accepted 
C) H0 was not rejected and H1 was not accepted d H0 was rejected and H1 not accepted 
A) the population mean is larger than the hypothesized sample value 
B) H0 was rejected and H1 accepted 
C) H0 was not rejected and H1 was not accepted d H0 was rejected and H1 not accepted

Question 16

Nonparametric statistical tests often are called tests.

Accepted Answer

A) distribution-free 
B) variance-free 
C) null-parameter 
D) nondirectional 
A) distribution-free 
B) variance-free 
C) null-parameter 
D) nondirectional

Question 17

If alpha is changed from .05 to .01, then the probability of a Type I error.

Accepted Answer

A) increases 
B) remains unchanged 
C) decreases 
D) increases or decreases depending on the size of the sample 
A) increases 
B) remains unchanged 
C) decreases 
D) increases or decreases depending on the size of the sample

Question 18

If the result of a statistical test is reported as p > .05, then it indicates that the investigator .

Accepted Answer

A) failed to reject H0 
B) failed to reject H1 
C) accepted H1 
D) rejected H0 
A) failed to reject H0 
B) failed to reject H1 
C) accepted H1 
D) rejected H0

Question 19

If zobs falls into a rejection region, then the hypothesis is.

Accepted Answer

A) null; accepted 
B) alternative; rejected 
C) null; rejected 
D) alternative; not rejected 
A) null; accepted 
B) alternative; rejected 
C) null; rejected 
D) alternative; not rejected

Question 20

The formula for the one-sample t test is.

Accepted Answer

A)  $t = \frac { \bar { X } - \mu } { s \bar { X } }$ 
B)  $t = \frac { \bar { X } + \mu } { s _ { \bar { X } } }$ 
C)  $t = \frac { \bar { X } - \mu } { s }$ 
D)  $t = \frac { \bar { X } - \mu } { \sigma \bar { x } }$ 
A)  $t = \frac { \bar { X } - \mu } { s \bar { X } }$ 
B)  $t = \frac { \bar { X } + \mu } { s _ { \bar { X } } }$ 
C)  $t = \frac { \bar { X } - \mu } { s }$ 
D)  $t = \frac { \bar { X } - \mu } { \sigma \bar { x } }$

The probability of correctly accepting H1 when H1 is true is provided by.

In a directional one-sample t test, the rejection region is located in of the sampling distribution of t.

If tobs falls into a rejection region, then the decision is to.

Degrees of freedom for a statistic refers to the number of that are free to vary when calculating that statistic.

If zobs falls into a rejection region, then the hypothesis is.

The 95% confidence interval implies that the probability is .95 that the interval.

If the result of a one-sample t test is reported as p > .05, then you know that the.

The 95 percent confidence interval for a population mean is given by.

The shape of the sampling distribution of t is.

The probability level that establishes how improbable an observed value of z must be in order to reject the null hypothesis is known as the level.

The statistical symbol H1 represents a(n) hypothesis.

A statistically significant difference with the z test means that.

If a(n) hypothesis is not rejected when in fact it is true, then error has occurred.

From a statistical point of view, results are "significant" because they occur.

A nonsignificant difference with the z test means that.

Nonparametric statistical tests often are called tests.

If alpha is changed from .05 to .01, then the probability of a Type I error.

If the result of a statistical test is reported as p > .05, then it indicates that the investigator .

If zobs falls into a rejection region, then the hypothesis is.

The formula for the one-sample t test is.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

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Exam 8: Is There Really a Difference Introduction to Statistical Hypothesis Testing

The probability of correctly accepting H1 when H1 is true is provided by.

In a directional one-sample t test, the rejection region is located in of the sampling distribution of t.

If tobs falls into a rejection region, then the decision is to.

Degrees of freedom for a statistic refers to the number of that are free to vary when calculating that statistic.

If zobs falls into a rejection region, then the hypothesis is.

The 95% confidence interval implies that the probability is .95 that the interval.

If the result of a one-sample t test is reported as p > .05, then you know that the.

The 95 percent confidence interval for a population mean is given by.

The shape of the sampling distribution of t is.

The probability level that establishes how improbable an observed value of z must be in order to reject the null hypothesis is known as the level.

The statistical symbol H1 represents a(n) hypothesis.

A statistically significant difference with the z test means that.

If a(n) hypothesis is not rejected when in fact it is true, then error has occurred.

From a statistical point of view, results are "significant" because they occur.

A nonsignificant difference with the z test means that.

Nonparametric statistical tests often are called tests.

If alpha is changed from .05 to .01, then the probability of a Type I error.

If the result of a statistical test is reported as p > .05, then it indicates that the investigator .

If zobs falls into a rejection region, then the hypothesis is.

The formula for the one-sample t test is.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters