Question 1

What can you conclude from the following results: (t = 12.72, df = 98, p < .01, two-tailed test)?

Accepted Answer

A)  The null hypothesis was rejected at the .01 level 
B)  The null hypothesis was not rejected at the .01 level 
C)  This was a directional hypothesis testing 
D)  That the total sample size was 98 
A)  The null hypothesis was rejected at the .01 level 
B)  The null hypothesis was not rejected at the .01 level 
C)  This was a directional hypothesis testing 
D)  That the total sample size was 98 A

Question 2

Which of the following is NOT true about the standard error of the difference between means?

Accepted Answer

A)  It is the average expected difference between two random samples from two different populations on a measurement 
B)  It is divided into the two independent sample means 
C)  It is same as standard error of the means 
D)  It decreases the likelihood of finding statistical significance 
A)  It is the average expected difference between two random samples from two different populations on a measurement 
B)  It is divided into the two independent sample means 
C)  It is same as standard error of the means 
D)  It decreases the likelihood of finding statistical significance C

Question 3

The calculation of the standard error of the difference between means depends on all of the following EXCEPT?

Accepted Answer

A)  Standard deviations of independent samples 
B)  Sample size of samples 
C)  Independent groups 
D)  Dependent groups 
A)  Standard deviations of independent samples 
B)  Sample size of samples 
C)  Independent groups 
D)  Dependent groups D

Question 4

If a researcher wanted to know if there was a statistical difference in test scores between athletes and non-athletics in a college history class, which of the following is NOT true?

Accepted Answer

A)  This is a non-directional test 
B)  The alternative hypothesis is µ1 > µ2 
C)  This is an Independence Samples t Test 
D)  The null hypothesis µ1 = µ2 
A)  This is a non-directional test 
B)  The alternative hypothesis is µ1 > µ2 
C)  This is an Independence Samples t Test 
D)  The null hypothesis µ1 = µ2

Question 5

Which of the following is NOT true about the following expression: µ1 − µ2 = 0 or µ1 = µ2?

Accepted Answer

A)  The null hypothesis 
B)  The alternative hypothesis 
C)  The difference is due to sample error 
D)  There is no statistical difference between the two sample means 
A)  The null hypothesis 
B)  The alternative hypothesis 
C)  The difference is due to sample error 
D)  There is no statistical difference between the two sample means

Question 6

Which of the follow is true about an independent variable in an Independent Samples t Test?

Accepted Answer

A)  It is the outcome variable 
B)  It is the categorical variable 
C)  It is a continuous variable 
D)  It is the independent samples 
A)  It is the outcome variable 
B)  It is the categorical variable 
C)  It is a continuous variable 
D)  It is the independent samples

What can you conclude from the following results: (t = 12.72, df = 98, p < .01, two-tailed test)?

Which of the following is NOT true about the standard error of the difference between means?

The calculation of the standard error of the difference between means depends on all of the following EXCEPT?

If a researcher wanted to know if there was a statistical difference in test scores between athletes and non-athletics in a college history class, which of the following is NOT true?

Which of the following is NOT true about the following expression: µ₁ − µ₂ = 0 or µ1 = µ2?

Which of the follow is true about an independent variable in an Independent Samples t Test?

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

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 22: Independent Samples T-Test

What can you conclude from the following results: (t = 12.72, df = 98, p < .01, two-tailed test)?

Which of the following is NOT true about the standard error of the difference between means?

The calculation of the standard error of the difference between means depends on all of the following EXCEPT?

If a researcher wanted to know if there was a statistical difference in test scores between athletes and non-athletics in a college history class, which of the following is NOT true?

Which of the following is NOT true about the following expression: µ1 − µ2 = 0 or µ1 = µ2?

Which of the follow is true about an independent variable in an Independent Samples t Test?

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

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

Which of the following is NOT true about the following expression: µ₁ − µ₂ = 0 or µ1 = µ2?