Question 1

If the significance level of Levene's Test is.050 or less,

Accepted Answer

A)  you cannot test the null hypothesis as an independent-samples t test 
B)  you ignore the significance level of the t test, go to Step 4, and reject the null hypothesis 
C)  you use the upper line of results (Equal variances assumed) 
D)  you use the lower line of results (Equal variances not assumed) 
A)  you cannot test the null hypothesis as an independent-samples t test 
B)  you ignore the significance level of the t test, go to Step 4, and reject the null hypothesis 
C)  you use the upper line of results (Equal variances assumed) 
D)  you use the lower line of results (Equal variances not assumed)

Question 2

Answer the questions that follow this SPSS output:

Your research hypothesis is "In the population, there is a difference in the average SAT scores of persons who attended small high schools and persons who attended large high schools." (¯EDUCMOM≤¯EDUCDAD) 
A) State the null hypothesis being tested.
B) Is this a one-tailed or two-tailed hypothesis?
C) Are your sample results consistent with the null hypothesis or the research hypothesis? (null / research)
D) What is the significance level? (If this step in hypothesis testing can be skipped, write the word "SKIP".)
E) What is your conclusion? (In other words, do you "reject" or "not reject" the null hypothesis based on these results?)
F) Are your results statistically significant? (yes / no)

Accepted Answer

a: In the population, there is no differ

Question 3

An author reports the following information about a one-tailed independent-samples t test: t = 1.71, df = 17, p = .111. The sample means were consistent with the research hypothesis. Which of the following is true?

Accepted Answer

A)  The two-tailed significance level must have been .222. 
B)  The null hypothesis was rejected 
C)  The two groups were significantly different. 
D)  All of the above are true. 
A)  The two-tailed significance level must have been .222. 
B)  The null hypothesis was rejected 
C)  The two groups were significantly different. 
D)  All of the above are true.

Question 4

Which of the following correctly describes a Type II error?

Accepted Answer

A)  not rejecting a null hypothesis that is false 
B)  not rejecting a null hypothesis that is true 
C)  rejecting a null hypothesis that is false 
D)  rejecting a null hypothesis that is true 
A)  not rejecting a null hypothesis that is false 
B)  not rejecting a null hypothesis that is true 
C)  rejecting a null hypothesis that is false 
D)  rejecting a null hypothesis that is true

Question 5

You are doing a paired-samples t test. What level of measurement is required on the variables you are using?

Accepted Answer

A)  They must be nominal. 
B)  They must be ordinal. 
C)  They must be interval/ratio. 
D)  They can be any level of measurement. 
A)  They must be nominal. 
B)  They must be ordinal. 
C)  They must be interval/ratio. 
D)  They can be any level of measurement.

Question 6

A researcher does a paired-samples t test with 39 cases. How many degrees of freedom does the t test have? __________

Accepted Answer

The answer of A researcher does a paired-samples t test...

Question 7

Any paired-samples t test could also be tested as a(n)

Accepted Answer

A)  crosstab 
B)  independent-samples t test 
C)  multiple regression 
D)  one-sample t test 
A)  crosstab 
B)  independent-samples t test 
C)  multiple regression 
D)  one-sample t test

Question 8

If the significance of Levene's test is greater than .05, are "equal variances assumed" or "equal variances not assumed" for the independent-samples t test?

Accepted Answer

equal vari

Question 9

Why are independent samples called that?

Accepted Answer

They are independent samples because you

If the significance level of Levene's Test is.050 or less,

An author reports the following information about a one-tailed independent-samples t test: t = 1.71, df = 17, p = .111. The sample means were consistent with the research hypothesis. Which of the following is true?

Which of the following correctly describes a Type II error?

You are doing a paired-samples t test. What level of measurement is required on the variables you are using?

A researcher does a paired-samples t test with 39 cases. How many degrees of freedom does the t test have? __________

Any paired-samples t test could also be tested as a(n)

If the significance of Levene's test is greater than .05, are "equal variances assumed" or "equal variances not assumed" for the independent-samples t test?

Why are independent samples called that?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

Exam 13: Paired and Independent-Samples T Tests

If the significance level of Levene's Test is.050 or less,

An author reports the following information about a one-tailed independent-samples t test: t = 1.71, df = 17, p = .111. The sample means were consistent with the research hypothesis. Which of the following is true?

Which of the following correctly describes a Type II error?

You are doing a paired-samples t test. What level of measurement is required on the variables you are using?

A researcher does a paired-samples t test with 39 cases. How many degrees of freedom does the t test have? __________

Any paired-samples t test could also be tested as a(n)

If the significance of Levene's test is greater than .05, are "equal variances assumed" or "equal variances not assumed" for the independent-samples t test?

Why are independent samples called that?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters