Question 1

What does the value of p represent?

Accepted Answer

A)  The probability that the null hypothesis is false 
B)  The probability that the null hypothesis is true 
C)  The probability that the alternative hypothesis is false 
D)  The probability that the alternative hypothesis is true 
A)  The probability that the null hypothesis is false 
B)  The probability that the null hypothesis is true 
C)  The probability that the alternative hypothesis is false 
D)  The probability that the alternative hypothesis is true B

Question 2

What does the result expression "p < .05" interpret as?

Accepted Answer

A)  It indicates that it is unlikely that the null hypothesis is true 
B)  It indicates that it is unlikely that the null hypothesis is false 
C)  It indicates that it is unlikely that the alternative hypothesis is true 
D)  It indicates that it is unlikely that the alternative hypothesis is false 
A)  It indicates that it is unlikely that the null hypothesis is true 
B)  It indicates that it is unlikely that the null hypothesis is false 
C)  It indicates that it is unlikely that the alternative hypothesis is true 
D)  It indicates that it is unlikely that the alternative hypothesis is false A

Question 3

When the researcher makes a decision based on "p < .01," which of the following is true? There may be more than one true statement.

Accepted Answer

A)  The investigator is less confident that they are making the right decision in rejecting the null hypothesis than when they use the .05 level. 
B)  The investigator is less confident that they are making the right decision in rejecting the null hypothesis than when they use the .001 level. 
C)  The investigator is more confident that they are making the right decision in rejecting the null hypothesis than when they use the .05 level. 
D)  The investigator is more confident that they are making the right decision in rejecting the null hypothesis than when they use the .001 level. 
A)  The investigator is less confident that they are making the right decision in rejecting the null hypothesis than when they use the .05 level. 
B)  The investigator is less confident that they are making the right decision in rejecting the null hypothesis than when they use the .001 level. 
C)  The investigator is more confident that they are making the right decision in rejecting the null hypothesis than when they use the .05 level. 
D)  The investigator is more confident that they are making the right decision in rejecting the null hypothesis than when they use the .001 level. B ,C

Question 4

Put the following in the order of the lowest level of significance to the highest level of significance.

Accepted Answer

A)  p < .01 
B)  p <.001 
C)  p <. 05 
A)  p < .01 
B)  p <.001 
C)  p <. 05

Question 5

Tests of the null hypothesis is also called significance tests.

Accepted Answer

A) True 
 B)False

Question 6

When p is greater than .05 ("p > .05"), the research does not reject the null hypothesis when it is false. What type of error, if any has been made in this decision?

Accepted Answer

A)  Type I Error 
B)  Type II Error 
C)  No error 
A)  Type I Error 
B)  Type II Error 
C)  No error

What does the value of p represent?

What does the result expression "p < .05" interpret as?

When the researcher makes a decision based on "p < .01," which of the following is true? There may be more than one true statement.

Put the following in the order of the lowest level of significance to the highest level of significance.

Tests of the null hypothesis is also called significance tests.

When p is greater than .05 ("p > .05"), the research does not reject the null hypothesis when it is false. What type of error, if any has been made in this decision?

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

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

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters

Exam 20: Decisions About the Null Hypothesis

What does the value of p represent?

What does the result expression "p < .05" interpret as?

When the researcher makes a decision based on "p < .01," which of the following is true? There may be more than one true statement.

Put the following in the order of the lowest level of significance to the highest level of significance.

Tests of the null hypothesis is also called significance tests.

When p is greater than .05 ("p > .05"), the research does not reject the null hypothesis when it is false. What type of error, if any has been made in this decision?

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

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

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters