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QNT 275 Week 4 Apply: Connect Week 4 Case
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QNT 275 Week 4 Apply: Connect Week 4 Case

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https://uopcourses.com/sd_product/qnt-275-weekly-practice-connect-knowledge-check-apply-connect-weekly-case/

 

 

 

Part 1

 

You manage Human Relations for your company. One of your sales managers has retired, leaving an opening. You are considering two different employees for the position. Both are highly qualified so you have decided to evaluate their sales performance for the past year.

 

 

 

Use the Week 4 Data Set to create and calculate the following in Excel®:

 

Determine the range of values in which you would expect to find the average weekly sales for the entire sales force in your company 90% of the time.

Calculate the impact of increasing the confidence level to 95%?

Calculate the impact of increasing the sample size to 150, assuming the same mean and standard deviation, but allowing the confidence level to remain at 90%?

Based on the calculated confidence interval for weekly sales on the sample of 50 reps at a 90% confidence level:

Calculate both Reps’ average weekly performance and highlight if it is greater than the population mean.

You want to determine whether there is a statistically different average weekly sales between Sales Rep A and Sales Rep B.

Create Null and Alternative Hypothesis statements that would allow you to determine whether their sales performance is statistically different or not.

Use a significance level of .05 to conduct a t-test of independent samples to compare the average weekly sales of the two candidates.

Calculate the p-value?

Considering that individual you did not promote:

Determine whether this person’s average weekly sales are greater than the average weekly sales for the 50 sales reps whose data you used to develop confidence intervals.

Create Null and Alternative Hypothesis statements that would allow you to determine whether the new Sales Manager’s weekly average sales are greater than the sample of Sales Reps.

Use a significance level of .05 to conduct a t-test of independent samples to compare the average weekly sales of both.

Calculate the p-value?

SAMPLE OF WEEKLY SALES

Sales Rep  #    AverageWeekly Sales($)                     Week #            Weekly Sales($) – Rep A        Weekly Sales($) – Rep B 

1          1228                1          4657    5839

2          7374                2          6133    2602

3          1055                3          3438    2830

4          1859                4          7394    4763

5          3938                5          4327    3740

6          1692                6          2552    1315

7          569                  7          7063    1599

8          4059                8          7844    1629

9          3689                9          6898    2416

10        607                  10        4003    2107

11        1370                11        6884    4237

12        3735                12        4007    6322

13        3305                13        7214    2710

14        7228                14        2358    5890

15        6279                15        7745    5119

16        1671                16        1337    5184

17        5708                17        1052    3439

18        2569                18        6056    4828

19        4163                19        1495    3667

20        1519                20        3530    2518

21        7734                21        4749    6073

22        784                  22        3833    5566

23        6766                23        7869    4555

24        7261                24        4541    5867

25        5034                25        6882    6039

26        7115                26        3868    1032

27        6291                27        5934    4834

28        6287                28        4447    3687

29        2080                29        5504    2214

30        7621                30        5554    4659

31        1047                                                   

32        6517                                                   

33        5172                                                   

34        3876                                                   

35        5429                                                   

36        4538                                                   

37        3786                                                   

38        2510                                                   

39        4863                                                   

40        7246                                                   

41        1175                                                   

42        641                                                     

43        4269                                                   

44        7034                                                   

45        3406                                                   

46        2256                                                   

47        3182                                                   

48        5178                                                   

49        4428                                                   

50        1189

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