Question 1

Eta-squared is a more conservative estimate than omega-squared.

Accepted Answer

A) True 
 B)False

Question 2

Computing a two-independent sample t test is appropriate when

Accepted Answer

A) different participants are assigned to each group 
B) the population variance is unknown 
C) participants are observed one time 
D) all of the above 
A) different participants are assigned to each group 
B) the population variance is unknown 
C) participants are observed one time 
D) all of the above

Question 3

The t distribution is similar to the z distribution except

Accepted Answer

A) it is associated with greater variability 
B) it is characterized by "thicker" tails compared with the z distribution 
C) it is associated with scores being more likely in the tails of the distribution 
D) all of the above 
A) it is associated with greater variability 
B) it is characterized by "thicker" tails compared with the z distribution 
C) it is associated with scores being more likely in the tails of the distribution 
D) all of the above

Question 4

A key difference between a t statistic and a z statistic is that the standard error is ________ to compute a t statistic.

Accepted Answer

A) removed 
B) replaced 
C) estimated 
D) placed in the numerator 
A) removed 
B) replaced 
C) estimated 
D) placed in the numerator

Question 5

A researcher reports the following result for a two-tailed test at a .05 level of significance,t(30)= 2.320,and correctly decides to retain the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 6

A researcher reports that mean ratings of liking for some food are 0.8±2.4 (M±SD).If the null hypothesis was that the mean equals 0,then what is the effect size for this test using estimated Cohen's d?

Accepted Answer

A) d = 0.33;small effect size 
B) d = 0.33;medium effect size 
C) d = 3.00;large effect size 
D) There is not enough information to answer this question. 
A) d = 0.33;small effect size 
B) d = 0.33;medium effect size 
C) d = 3.00;large effect size 
D) There is not enough information to answer this question.

Question 7

When the difference between two groups is compared,the pooled standard deviation is used as an estimate for the population standard deviation in the effect size formula for estimated Cohen's d.

Accepted Answer

A) True 
 B)False

Question 8

A t statistic estimates the standard error by using the sample variance to approximate the population variance.

Accepted Answer

A) True 
 B)False

Question 9

State the critical value(s)for the following two-tailed t test at a .05 level of significance: t(   ).

Accepted Answer

A) ±1.645 
B) ±1.96 
C) the same as for a two-tailed z test at a .05 level of significance 
D) both B and C 
A) ±1.645 
B) ±1.96 
C) the same as for a two-tailed z test at a .05 level of significance 
D) both B and C

Question 10

It is most appropriate to report effect size with a significant result.Why is it generally inappropriate to report effect size with insignificant results?

Accepted Answer

A) Because insignificant results will always have an effect size equal to 0. 
B) Because insignificant results indicate that an effect size is also insignificant. 
C) Because it makes little sense to report the size of an effect that you just concluded doesn't exist. 
D) Because the probability of the size of an effect varies depending on the significance of the result. 
A) Because insignificant results will always have an effect size equal to 0. 
B) Because insignificant results indicate that an effect size is also insignificant. 
C) Because it makes little sense to report the size of an effect that you just concluded doesn't exist. 
D) Because the probability of the size of an effect varies depending on the significance of the result.

Question 11

Which of the following is an assumption for computing any type of independent sample t test?

Accepted Answer

A) Data in the population being sampled are normally distributed. 
B) Data were obtained from a sample that was selected using a random sampling procedure. 
C) The probabilities of each measured outcome in a study are independent. 
D) all of the above 
A) Data in the population being sampled are normally distributed. 
B) Data were obtained from a sample that was selected using a random sampling procedure. 
C) The probabilities of each measured outcome in a study are independent. 
D) all of the above

Question 12

An estimated Cohen's d is interpreted in terms of the number of standard deviations that an effect shifted in some population.

Accepted Answer

A) True 
 B)False

Question 13

Normality is the assumption that data in the population are normally distributed.

Accepted Answer

A) True 
 B)False

Question 14

A t test is associated with N degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 15

Eta-squared is computed ______ for the one-sample,and the two-independent sample t tests.

Accepted Answer

A) Differently 
B) Infinitely 
C) Similarly 
D) Semantically 
A) Differently 
B) Infinitely 
C) Similarly 
D) Semantically

Question 16

When testing a hypothesis with one or two groups selected from a population with an unknown variance,a t test is appropriate.

Accepted Answer

A) True 
 B)False

Eta-squared is a more conservative estimate than omega-squared.

Computing a two-independent sample t test is appropriate when

The t distribution is similar to the z distribution except

A key difference between a t statistic and a z statistic is that the standard error is ________ to compute a t statistic.

A researcher reports the following result for a two-tailed test at a .05 level of significance,t(30)= 2.320,and correctly decides to retain the null hypothesis.

A researcher reports that mean ratings of liking for some food are 0.8±2.4 (M±SD).If the null hypothesis was that the mean equals 0,then what is the effect size for this test using estimated Cohen's d?

When the difference between two groups is compared,the pooled standard deviation is used as an estimate for the population standard deviation in the effect size formula for estimated Cohen's d.

A t statistic estimates the standard error by using the sample variance to approximate the population variance.

State the critical value(s)for the following two-tailed t test at a .05 level of significance: t( ).

It is most appropriate to report effect size with a significant result.Why is it generally inappropriate to report effect size with insignificant results?

Which of the following is an assumption for computing any type of independent sample t test?

An estimated Cohen's d is interpreted in terms of the number of standard deviations that an effect shifted in some population.

Normality is the assumption that data in the population are normally distributed.

A t test is associated with N degrees of freedom.

Eta-squared is computed ______ for the one-sample,and the two-independent sample t tests.

When testing a hypothesis with one or two groups selected from a population with an unknown variance,a t test is appropriate.

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 9: Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Eta-squared is a more conservative estimate than omega-squared.

Computing a two-independent sample t test is appropriate when

The t distribution is similar to the z distribution except

A key difference between a t statistic and a z statistic is that the standard error is ________ to compute a t statistic.

A researcher reports the following result for a two-tailed test at a .05 level of significance,t(30)= 2.320,and correctly decides to retain the null hypothesis.

A researcher reports that mean ratings of liking for some food are 0.8±2.4 (M±SD).If the null hypothesis was that the mean equals 0,then what is the effect size for this test using estimated Cohen's d?

When the difference between two groups is compared,the pooled standard deviation is used as an estimate for the population standard deviation in the effect size formula for estimated Cohen's d.

A t statistic estimates the standard error by using the sample variance to approximate the population variance.

State the critical value(s)for the following two-tailed t test at a .05 level of significance: t( ).

It is most appropriate to report effect size with a significant result.Why is it generally inappropriate to report effect size with insignificant results?

Which of the following is an assumption for computing any type of independent sample t test?

An estimated Cohen's d is interpreted in terms of the number of standard deviations that an effect shifted in some population.

Normality is the assumption that data in the population are normally distributed.

A t test is associated with N degrees of freedom.

Eta-squared is computed ______ for the one-sample,and the two-independent sample t tests.

When testing a hypothesis with one or two groups selected from a population with an unknown variance,a t test is appropriate.

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters