Question 1

the researcher uses a t test when comparing two means to determine statistical significance.

Accepted Answer

A) True 
 B)False  True

Question 2

When should the researcher reject the null hypothesis?

Accepted Answer

A)  When the probability that the null hypothesis is correct is .05 or less 
B)  When the probability that the null hypothesis is correct is .05 or higher 
A)  When the probability that the null hypothesis is correct is .05 or less 
B)  When the probability that the null hypothesis is correct is .05 or higher A

Question 3

The larger the variance among the participants, the less likely the difference between two means was created by sampling errors.

Accepted Answer

A) True 
 B)False  False

Question 4

the larger the samples, the less likely that the difference between two means was created by sampling errors.

Accepted Answer

A) True 
 B)False

Question 5

The smaller the observed difference between the two means the more likely that the difference was created by sampling errors.

Accepted Answer

A) True 
 B)False

Question 6

When comparing two means which is the null hypothesis?

Accepted Answer

A)  There is no true difference between men and women 
B)  There is a true difference between men and women 
C)  The difference is not due to the sampling error 
A)  There is no true difference between men and women 
B)  There is a true difference between men and women 
C)  The difference is not due to the sampling error

Question 7

Which of the factors does not determine the probability level of rejecting the null hypothesis?

Accepted Answer

A)  Larger samples 
B)  Larger observed difference between the two means being compared 
C)  The smaller variance among participants 
D)  The smaller observed difference between the two means being compared 
A)  Larger samples 
B)  Larger observed difference between the two means being compared 
C)  The smaller variance among participants 
D)  The smaller observed difference between the two means being compared

the researcher uses a t test when comparing two means to determine statistical significance.

When should the researcher reject the null hypothesis?

The larger the variance among the participants, the less likely the difference between two means was created by sampling errors.

the larger the samples, the less likely that the difference between two means was created by sampling errors.

The smaller the observed difference between the two means the more likely that the difference was created by sampling errors.

When comparing two means which is the null hypothesis?

Which of the factors does not determine the probability level of rejecting the null hypothesis?

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

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 21: Introduction to the T-Test

the researcher uses a t test when comparing two means to determine statistical significance.

When should the researcher reject the null hypothesis?

The larger the variance among the participants, the less likely the difference between two means was created by sampling errors.

the larger the samples, the less likely that the difference between two means was created by sampling errors.

The smaller the observed difference between the two means the more likely that the difference was created by sampling errors.

When comparing two means which is the null hypothesis?

Which of the factors does not determine the probability level of rejecting the null hypothesis?

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

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