Question 1

Which of the following is NOT true about nonparametric statistics?

Accepted Answer

A)  It is used when the assumption of normality of data is in violation 
B)  It is somewhat equivalent to t tests when the data is nominal scale 
C)  It is more favored than parametric statistics 
D)  Chi-square is the most common form 
A)  It is used when the assumption of normality of data is in violation 
B)  It is somewhat equivalent to t tests when the data is nominal scale 
C)  It is more favored than parametric statistics 
D)  Chi-square is the most common form C

Question 2

How would the following Chi-square test results be interpreted: "χ2 = 2.9, df = 3, p > .05"?

Accepted Answer

A)  The null hypothesis should be rejected at the .05 level 
B)  The null hypothesis should be accepted at the .05 level 
C)  The relationship is significant 
A)  The null hypothesis should be rejected at the .05 level 
B)  The null hypothesis should be accepted at the .05 level 
C)  The relationship is significant B

Question 3

If you asked members of a random sample whether they planned to vote "yes" or "no" on an upcoming proposition, which statistical test would be appropriate?

Accepted Answer

A)  One-way Chi-square 
B)  Two-way Chi-square 
C)  A parametric test 
A)  One-way Chi-square 
B)  Two-way Chi-square 
C)  A parametric test B

Question 4

If we were to ask a random sample of men and women seniors age 65 and above whether they do or don't regularly do aquatic aerobics for improving their health, which statistical test would be appropriate?

Accepted Answer

A)  One-way Chi-square 
B)  Two-way Chi-square 
C)  A parametric test 
A)  One-way Chi-square 
B)  Two-way Chi-square 
C)  A parametric test

Question 5

To test differences among frequencies, researchers have the option of using a t Test or Chi-square.

Accepted Answer

A) True 
 B)False

Which of the following is NOT true about nonparametric statistics?

How would the following Chi-square test results be interpreted: "χ² = 2.9, df = 3, p > .05"?

If you asked members of a random sample whether they planned to vote "yes" or "no" on an upcoming proposition, which statistical test would be appropriate?

If we were to ask a random sample of men and women seniors age 65 and above whether they do or don't regularly do aquatic aerobics for improving their health, which statistical test would be appropriate?

To test differences among frequencies, researchers have the option of using a t Test or Chi-square.

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters

Exam 28: Chi-Square Test

Which of the following is NOT true about nonparametric statistics?

How would the following Chi-square test results be interpreted: "χ2 = 2.9, df = 3, p > .05"?

If you asked members of a random sample whether they planned to vote "yes" or "no" on an upcoming proposition, which statistical test would be appropriate?

If we were to ask a random sample of men and women seniors age 65 and above whether they do or don't regularly do aquatic aerobics for improving their health, which statistical test would be appropriate?

To test differences among frequencies, researchers have the option of using a t Test or Chi-square.

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters

How would the following Chi-square test results be interpreted: "χ² = 2.9, df = 3, p > .05"?