Question 1

A t test compares the sample mean to a test value.

Accepted Answer

A) True 
 B)False  True

Question 2

What hypothesis is being tested when using a t test?

Accepted Answer

A)  Null hypothesis 
B)  Test hypothesis 
C)  Data-based hypothesis 
D)  Sample mean hypothesis 
A)  Null hypothesis 
B)  Test hypothesis 
C)  Data-based hypothesis 
D)  Sample mean hypothesis A

Question 3

A significance value of .002 indicates a statistically significant finding at the .001 level.

Accepted Answer

A) True 
 B)False  False

Question 4

The following are all terms associated with a t test, except:

Accepted Answer

A)  Significance level. 
B)  Correlational coefficient. 
C)  Sample mean. 
D)  Null hypothesis. 
A)  Significance level. 
B)  Correlational coefficient. 
C)  Sample mean. 
D)  Null hypothesis.

Question 5

SPSS Statistics displays the following outputs for a t test:

Accepted Answer

A)  Model Summary 
B)  One-Sample Statistics 
C)  Coefficients 
D)  ANOVA 
A)  Model Summary 
B)  One-Sample Statistics 
C)  Coefficients 
D)  ANOVA

Question 6

Use the following SPSS Statistics tool to calculate statistical significance:

Accepted Answer

A)  Linear Compare… 
B)  Descriptive Statistics… 
C)  Compare Means… 
D)  Chart Editor… 
A)  Linear Compare… 
B)  Descriptive Statistics… 
C)  Compare Means… 
D)  Chart Editor…

Question 7

Use the following statistic to determine the statistical significance of the single sample mean:

Accepted Answer

A)  ANOVA Significance 
B)  R2 Linear value 
C)  One-Sample Test Significance 
D)  Standard Error of the Estimate 
A)  ANOVA Significance 
B)  R2 Linear value 
C)  One-Sample Test Significance 
D)  Standard Error of the Estimate

Question 8

In research reports, you should mention information about the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 9

A negative t statistic demonstrates greater statistical significance.

Accepted Answer

A) True 
 B)False

Question 10

A t test requires one variable at the scale level.

Accepted Answer

A) True 
 B)False

A t test compares the sample mean to a test value.

What hypothesis is being tested when using a t test?

A significance value of .002 indicates a statistically significant finding at the .001 level.

The following are all terms associated with a t test, except:

SPSS Statistics displays the following outputs for a t test:

Use the following SPSS Statistics tool to calculate statistical significance:

Use the following statistic to determine the statistical significance of the single sample mean:

In research reports, you should mention information about the null hypothesis.

A negative t statistic demonstrates greater statistical significance.

A t test requires one variable at the scale level.

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Scattergram

Correlation Coefficients: The Pearson R and Spearmans RHO

Simple Linear Regression

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Chi-Square Test of Independence

Filters

Exam 12: The T-Test for a Single Sample Mean

A t test compares the sample mean to a test value.

What hypothesis is being tested when using a t test?

A significance value of .002 indicates a statistically significant finding at the .001 level.

The following are all terms associated with a t test, except:

SPSS Statistics displays the following outputs for a t test:

Use the following SPSS Statistics tool to calculate statistical significance:

Use the following statistic to determine the statistical significance of the single sample mean:

In research reports, you should mention information about the null hypothesis.

A negative t statistic demonstrates greater statistical significance.

A t test requires one variable at the scale level.

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Scattergram

Correlation Coefficients: The Pearson R and Spearmans RHO

Simple Linear Regression

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Chi-Square Test of Independence

Filters