Question 1

"[(2)(N1)(N2)]/(N1 + N2)" is the formula for the __________.

Accepted Answer

The answer of "[(2)(N1)(N2)]/(N1 + N2)" is the formula for...

Question 2

A research article based on a t test for independent means reports a result as "t(28)= 4.21, p < .01."

Accepted Answer

A) The result was statistically significant. 
B) There were 30 participants in the study. 
C) The t score was 4.21. 
D) All of the above. 
A) The result was statistically significant. 
B) There were 30 participants in the study. 
C) The t score was 4.21. 
D) All of the above.

Question 3

Estimated effect size for the t test for independent means is determined using what formula?

Accepted Answer

The answer of Estimated effect size for the t test...

Question 4

A manager of a small store wanted to discourage shoplifters by putting signs around the store saying "Shoplifting is a crime!" However, he wanted to make sure this would not result in customers buying less. To test this, he displayed the signs every other Wednesday for 8 weeks, for a total of 4 days displayed. He recorded the store's sales for those four Wednesdays and then recorded the store's sales for the four alternate Wednesdays, when the signs were not displayed. On the Wednesdays with the sign, the sales were 83, 73, 81, and 79. On the Wednesdays without the sign, sales were 84, 90, 82, and 84.
Do these results suggest that customers buy less when the signs are displayed? (Use the .05 significance level.)
a. Use the five steps of hypothesis testing.
b. Sketch the distribution involved.
c. Figure the effect size.
d. Explain what you did to a person who is familiar with the t test for a single sample but is unfamiliar with the t test for independent means.

Accepted Answer

Step 1 (some version of the following is

Question 5

All of the following are true for both the t test for independent means AND the t test for dependent means, EXCEPT:

Accepted Answer

A) population variances are estimated from the information in the sample of scores actually studied 
B) pretest-posttest experimental designs are common 
C) the population means are unknown 
D) the sample scores (in some form)are eventually compared to a t distribution 
A) population variances are estimated from the information in the sample of scores actually studied 
B) pretest-posttest experimental designs are common 
C) the population means are unknown 
D) the sample scores (in some form)are eventually compared to a t distribution

"[(2)(N1)(N2)]/(N1 + N2)" is the formula for the __________.

A research article based on a t test for independent means reports a result as "t(28)= 4.21, p < .01."

Estimated effect size for the t test for independent means is determined using what formula?

All of the following are true for both the t test for independent means AND the t test for dependent means, EXCEPT:

Displaying the Order in a Group of Numbers Using Tables and Graphs

The Mean, Variance, Standard Deviation, and Z Scores

Correlation and Prediction

Some Key Ingredients for Inferential Statistics: the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Hypothesis Tests With Means of Samples

Making Sense of Statistical Significance: Effect Size and Statistical Power

Introduction to the T Test: Single Sample and Dependent Means

Introduction to the Analysis of Variance

Chi-Square Tests and Strategies When Population Distributions Are Not Normal

Applying Statistical Methods in Your Own Research Project

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Exam 9: The T Test for Independent Means

"[(2)(N1)(N2)]/(N1 + N2)" is the formula for the __________.

A research article based on a t test for independent means reports a result as "t(28)= 4.21, p < .01."

Estimated effect size for the t test for independent means is determined using what formula?

All of the following are true for both the t test for independent means AND the t test for dependent means, EXCEPT:

Displaying the Order in a Group of Numbers Using Tables and Graphs

The Mean, Variance, Standard Deviation, and Z Scores

Correlation and Prediction

Some Key Ingredients for Inferential Statistics: the Normal Curve, Sample Versus Population, and Probability

Introduction to Hypothesis Testing

Hypothesis Tests With Means of Samples

Making Sense of Statistical Significance: Effect Size and Statistical Power

Introduction to the T Test: Single Sample and Dependent Means

Introduction to the Analysis of Variance

Chi-Square Tests and Strategies When Population Distributions Are Not Normal

Applying Statistical Methods in Your Own Research Project

Filters