1. Thirty-four men, each approximately 45 pounds overweight. Each man consumes the same number of calories per day, but the diets differ in their proportion of protein, fat and carbohydrate. The researcher wants to determine if there is a significant decrease in the money allotted for food during the period. Identify the appropriate analysis.
t-Test for One Sample Mean
z-Test for Two Sample Means
Correlation analysis
Regression analysis
t-Test for Two Dependent Sample Means
F-test for Two-Sample Variance
t-Test for Two Independent Sample Means

2. In an experiment conducted by Mindy, she measures the number of hours consumed using gadgets of the students during exam weeks and the usual days. She also wants to test if the students spent at least 8 hours a day using gadgets. Identify the appropriate analysis.
Regression analysis
t-Test for One Sample Mean
Correlation analysis
t-Test for Two Independent Sample Means
t-Test for Two Dependent Sample Means
z-Test for Two Sample Means
F-test for Two-Sample Variance

3. In regression equation, slope is the amount increases of decreases in the independent for every 1 unit added in x. *
Always True
Sometimes True
Never True

4.The value of r does not change if some of the values of either variable are converted to a different scale.
Always True
Sometimes True
Never True

5.Describe the strength of the linear relationship between the variable income and the allowance.
Very strong
Weak
Very weak
Moderate
Strong

6. The Pearson correlation coefficient r measures the strength of the linear relationship between the paired x and y qualitative values in a sample. *
Always True
Sometimes True
Never True

7.Data reflecting number of days of stay in the hospital and the total charge (in thousands) for seven patients undergoing a minor surgical procedure were provided. It is of the interest to estimate the total charge for an individual who stays 12 days in hospital. Identify the appropriate analysis.

Regression analysis
z-Test for Two Sample Means
t-Test for Two Independent Sample Means
F-test for Two-Sample Variance
t-Test for One Sample Mean
Correlation analysis
t-Test for Two Dependent Sample Means

8. Positive linear correlation states that if the independent variable increases, the dependent variable also increases. *
Always True
Sometimes True
Never True

9.The value of r does not change if some of the values of either variable are converted to a different scale. *
Always True
Sometimes True
Never True

10. When comparing two means, paired sample t-test is the appropriate analysis.
Always True
Sometimes True
Never True

Answer rating: 100% (QA)

1 tTest for Two Independent Sample Means 2 tTest for Two Independent Sample Means 3 Sometimes True 4 ... View the full answer