Question 1

If the null hypothesis is not rejected in a one-sample t test, then the.

Accepted Answer

A) sample mean and the population mean differ significantly from each other 
B) alpha level should be increased 
C) observed difference between the sample mean and the population mean is attributed to sampling error 
D) distributions of scores within both the sample and the population are normal 
A) sample mean and the population mean differ significantly from each other 
B) alpha level should be increased 
C) observed difference between the sample mean and the population mean is attributed to sampling error 
D) distributions of scores within both the sample and the population are normal

Question 2

You make a Type II error when you.

Accepted Answer

A) reject H0 when it is true and H1 is false 
B) accept H1 when it is true and H0 is false 
C) fail to reject H0 when it is false and H1 is true 
D) fail to reject H1 when it is false and H0 is true 
A) reject H0 when it is true and H1 is false 
B) accept H1 when it is true and H0 is false 
C) fail to reject H0 when it is false and H1 is true 
D) fail to reject H1 when it is false and H0 is true

Question 3

A statement about a characteristic of a population is a hypothesis.

Accepted Answer

A) demographic 
B) statistical 
C) research 
D) primary 
A) demographic 
B) statistical 
C) research 
D) primary

Question 4

If the observed difference between the sample mean and the hypothesized population mean in a one-sample t test is nonsignificant, then.

Accepted Answer

A) the null hypothesis was rejected 
B) the null hypothesis was not rejected 
C) it implies that a Type I error was made 
D) the probability that a Type II error was made is equal to .05 
A) the null hypothesis was rejected 
B) the null hypothesis was not rejected 
C) it implies that a Type I error was made 
D) the probability that a Type II error was made is equal to .05

Question 5

If a(n) hypothesis is rejected when it was in fact true, then a error has occurred.

Accepted Answer

A) null; Type I 
B) alternative; Type I 
C) null; Type II 
D) alternative; Type II 
A) null; Type I 
B) alternative; Type I 
C) null; Type II 
D) alternative; Type II

Question 6

If zobs does not fall into a rejection region, then the.

Accepted Answer

A) alternative hypothesis is not accepted 
B) alternative hypothesis is not rejected 
C) null hypothesis is rejected 
D) null hypothesis is not accepted 
A) alternative hypothesis is not accepted 
B) alternative hypothesis is not rejected 
C) null hypothesis is rejected 
D) null hypothesis is not accepted

Question 7

Decreasing the value of alpha from .05 to .01 the likelihood of rejecting a null hypothesis.

Accepted Answer

A) increases 
B) decreases 
C) has no effect on 
D) increases or decreases depending on the size of the sample 
A) increases 
B) decreases 
C) has no effect on 
D) increases or decreases depending on the size of the sample

Question 8

A statement that tentatively is held to be true about a population is called a(n) hypothesis.

Accepted Answer

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

Question 9

If zobs equals -3.08 and zcrit equals plus or minus 1.96, then the statistical decisions should be as follows: the null hypothesis and the alternative hypothesis.

Accepted Answer

A) reject; do not accept 
B) reject; accept 
C) fail to reject; do not accept 
D) fail to reject; accept 
A) reject; do not accept 
B) reject; accept 
C) fail to reject; do not accept 
D) fail to reject; accept

Question 10

In behavioral research, alpha is usually set at.

Accepted Answer

A) .10 
B) .05 or .01 
C) .01 or .001 
D) .005 
A) .10 
B) .05 or .01 
C) .01 or .001 
D) .005

Question 11

A one-sample t test is used to test for the difference between a.

Accepted Answer

A) sample standard deviation and a sample variance 
B) population mean and a population variance 
C) sample mean and a sample variance 
D) sample mean and a population mean 
A) sample standard deviation and a sample variance 
B) population mean and a population variance 
C) sample mean and a sample variance 
D) sample mean and a population mean

Question 12

The level is a probability value that provides the criterion for rejecting H0.

Accepted Answer

A) significance 
B) rareness 
C) confidence 
D) hypothesis 
A) significance 
B) rareness 
C) confidence 
D) hypothesis

Question 13

If the results of a study using the one-sample t test were summarized t(99) = 1.546, p > .05, then you would know that the sample size was and the null hypothesis was
)

Accepted Answer

A) 99; rejected 
B) 99; not rejected 
C) 100; rejected 
D) 100; not rejected 
A) 99; rejected 
B) 99; not rejected 
C) 100; rejected 
D) 100; not rejected

Question 14

If tobs falls into a rejection region, then which of the following is true?

Accepted Answer

A) The probability of obtaining the value of tobs under the null hypothesis is greater than the alpha value. 
B) The alternative hypothesis is not accepted. 
C) The null hypothesis is rejected. 
D) The null hypothesis is not rejected. 
A) The probability of obtaining the value of tobs under the null hypothesis is greater than the alpha value. 
B) The alternative hypothesis is not accepted. 
C) The null hypothesis is rejected. 
D) The null hypothesis is not rejected.

Question 15

If the results of a study were summarized in a research article as z = -3.08, p < .05, then you would know that the.

Accepted Answer

A) results were not statistically significant at the .05 level 
B) null hypothesis was not accepted at the .95 level 
C) alternative hypothesis was rejected at the .05 level 
D) null hypothesis was rejected at the .05 level 
A) results were not statistically significant at the .05 level 
B) null hypothesis was not accepted at the .95 level 
C) alternative hypothesis was rejected at the .05 level 
D) null hypothesis was rejected at the .05 level

Question 16

If the null hypothesis is false and H0 is not rejected, then.

Accepted Answer

A) a Type I error has occurred 
B) a Type II error has occurred 
C) a correct decision has occurred 
D) it is possible that both a Type I and a Type II error have occurred 
A) a Type I error has occurred 
B) a Type II error has occurred 
C) a correct decision has occurred 
D) it is possible that both a Type I and a Type II error have occurred

Question 17

The statistical symbol H0 is used to represent a(n) hypothesis.

Accepted Answer

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

Question 18

Alpha is the probability of.

Accepted Answer

A) rejecting H0 when it is true 
B) failing to reject H0 when it is false 
C) accepting H1 when it is true 
D) rejecting H1 when it is true 
A) rejecting H0 when it is true 
B) failing to reject H0 when it is false 
C) accepting H1 when it is true 
D) rejecting H1 when it is true

Question 19

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

Accepted Answer

A) the center 
B) the left tail 
C) the right tail 
D) both tails 
A) the center 
B) the left tail 
C) the right tail 
D) both tails

Question 20

If the null hypothesis is not rejected with a .05 significance level, then we know that.

Accepted Answer

A) there is a statistically significant difference 
B) the alpha level is greater than .05 
C) a non-directional test was used 
D) the observed value of the test statistic did not fall into the rejection region 
A) there is a statistically significant difference 
B) the alpha level is greater than .05 
C) a non-directional test was used 
D) the observed value of the test statistic did not fall into the rejection region

If the null hypothesis is not rejected in a one-sample t test, then the.

You make a Type II error when you.

A statement about a characteristic of a population is a hypothesis.

If the observed difference between the sample mean and the hypothesized population mean in a one-sample t test is nonsignificant, then.

If a(n) hypothesis is rejected when it was in fact true, then a error has occurred.

If zobs does not fall into a rejection region, then the.

Decreasing the value of alpha from .05 to .01 the likelihood of rejecting a null hypothesis.

A statement that tentatively is held to be true about a population is called a(n) hypothesis.

If zobs equals -3.08 and zcrit equals plus or minus 1.96, then the statistical decisions should be as follows: the null hypothesis and the alternative hypothesis.

In behavioral research, alpha is usually set at.

A one-sample t test is used to test for the difference between a.

The level is a probability value that provides the criterion for rejecting H0.

If the results of a study using the one-sample t test were summarized t(99) = 1.546, p > .05, then you would know that the sample size was and the null hypothesis was )

If tobs falls into a rejection region, then which of the following is true?

If the results of a study were summarized in a research article as z = -3.08, p < .05, then you would know that the.

If the null hypothesis is false and H0 is not rejected, then.

The statistical symbol H0 is used to represent a(n) hypothesis.

Alpha is the probability of.

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

If the null hypothesis is not rejected with a .05 significance level, then we know that.

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

If the null hypothesis is not rejected in a one-sample t test, then the.

You make a Type II error when you.

A statement about a characteristic of a population is a hypothesis.

If the observed difference between the sample mean and the hypothesized population mean in a one-sample t test is nonsignificant, then.

If a(n) hypothesis is rejected when it was in fact true, then a error has occurred.

If zobs does not fall into a rejection region, then the.

Decreasing the value of alpha from .05 to .01 the likelihood of rejecting a null hypothesis.

A statement that tentatively is held to be true about a population is called a(n) hypothesis.

If zobs equals -3.08 and zcrit equals plus or minus 1.96, then the statistical decisions should be as follows: the null hypothesis and the alternative hypothesis.

In behavioral research, alpha is usually set at.

A one-sample t test is used to test for the difference between a.

The level is a probability value that provides the criterion for rejecting H0.

If the results of a study using the one-sample t test were summarized t(99) = 1.546, p > .05, then you would know that the sample size was and the null hypothesis was )

If tobs falls into a rejection region, then which of the following is true?

If the results of a study were summarized in a research article as z = -3.08, p < .05, then you would know that the.

If the null hypothesis is false and H0 is not rejected, then.

The statistical symbol H0 is used to represent a(n) hypothesis.

Alpha is the probability of.

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

If the null hypothesis is not rejected with a .05 significance level, then we know that.

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