Question 1

If the results indicate that the difference between the means is statistically significant at the .05 level (t = 2.03, df = 19), what should you conclude?

Accepted Answer

A)  Accept the null hypothesis 
B)  There is not a significant difference between the means 
C)  Reject the null hypothesis 
D)  Reject the alternative hypothesis 
A)  Accept the null hypothesis 
B)  There is not a significant difference between the means 
C)  Reject the null hypothesis 
D)  Reject the alternative hypothesis C

Question 2

The term "statistically significant" is synonymous with which of the following phrases

Accepted Answer

A)  Accepting the null hypothesis 
B)  Accepting the alternative hypothesis 
C)  Rejecting the null hypothesis 
D)  Rejecting the alternative hypothesis 
A)  Accepting the null hypothesis 
B)  Accepting the alternative hypothesis 
C)  Rejecting the null hypothesis 
D)  Rejecting the alternative hypothesis C

Question 3

Which of the following statements is NOT true about the following results?
(t = 1.80, df = 12, p > .05)

Accepted Answer

A)  The result indicates a significant t test 
B)  The difference between means is not significant 
C)  The t test was not significant at the .05 level 
D)  The probability that the null hypothesis is true is more than 5% 
A)  The result indicates a significant t test 
B)  The difference between means is not significant 
C)  The t test was not significant at the .05 level 
D)  The probability that the null hypothesis is true is more than 5% A

Question 4

The phrase significant at the .01 level indicates which of the following?

Accepted Answer

A)  That the alternative hypothesis should be rejected 
B)  That the probability that the null hypothesis is correct is .05 
C)  The null hypothesis should be accepted 
D)  That that p was equal to or less than .01 
A)  That the alternative hypothesis should be rejected 
B)  That the probability that the null hypothesis is correct is .05 
C)  The null hypothesis should be accepted 
D)  That that p was equal to or less than .01

Question 5

If the result is statistically significant, it also has practical significance

Accepted Answer

A) True 
 B)False

If the results indicate that the difference between the means is statistically significant at the .05 level (t = 2.03, df = 19), what should you conclude?

The term "statistically significant" is synonymous with which of the following phrases

Which of the following statements is NOT true about the following results? (t = 1.80, df = 12, p > .05)

The phrase significant at the .01 level indicates which of the following?

If the result is statistically significant, it also has practical significance

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

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 25: Reports of the Results of T-Tests

If the results indicate that the difference between the means is statistically significant at the .05 level (t = 2.03, df = 19), what should you conclude?

The term "statistically significant" is synonymous with which of the following phrases

Which of the following statements is NOT true about the following results? (t = 1.80, df = 12, p > .05)

The phrase significant at the .01 level indicates which of the following?

If the result is statistically significant, it also has practical significance

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

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