Question

We have covered various tests and confidence intervals and many of these are listed below. Read...

We have covered various tests and confidence intervals and many of these are listed below. Read the following short scenarios and pick the test or confidence interval that best meets the objective. Choose only one and write the number in the space provided below the question.

1. Confidence interval for a proportion.

2. Confidence interval for a mean

3. Test for a population Proportion

4. Test for comparing Proportions between 2 groups.

5. Test for comparing Proportions between c groups. (c>2)

6. Test for no relationship between 2 categorical variables.

7. Test for a Population Mean

8. Test for Means comparing 2 groups.

9. Test for Means comparing c groups. (c>2)

10. Tukey-Kramer Procedure for Means.

11. Confidence interval for a slope.

12. Confidence interval for a predicted value of Y.

13. Test for all slopes in a Multiple Regression model.

14. Test for one slope in a Multiple Regression model.

15. Test for one slope in a Simple Regression model.

what would you use for the following issues: (5 Points)

Hint: always start by determining what data you have and check if your answer method is appropriate for i

  1. You want to find out with 95% confidence the Advertisement
  2. You suspect a relationship between Inventory and Sales
  3. You did a marketing survey and collected data on how many men vs women shop at Macys and want test if there is a relationship.
  4. You ran an ANOVA and now wish to find out which sample is different what would you use.
  5. You want to investigate if sales tends to change depending on the amount of advertisement?
Math   Statistics-And-Probability   
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Answer #1

You want to find out with 95% confidence the Advertisement:

1. Confidence interval for a proportion because it is a dummy variable which is used for categorical data.

You suspect a relationship between Inventory and Sales:

15. Test for one slope in a Simple Regression model.

You did a marketing survey and collected data on how many men vs women shop at Macys and want test if there is a relationship:

6. Test for no relationship between 2 categorical variables. Both the variables here gender and shopping are categorical in nature.

You ran an ANOVA and now wish to find out which sample is different what would you use:

10. Tukey-Kramer Procedure for Means. It tests the pair-wise group differences.

You want to investigate if sales tend to change depending on the amount of advertisement?

14. Test for one slope in a Multiple Regression model.

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