“Your manager has speculated the following:a. the average (mean) annual income was less than $50,000, b. the true population proportion of customers who live in an urban area exceeds 40%, c. the average (mean) number of years lived in the current home is less than 13 years, d. the average (mean) credit balance for suburban customers is more than $4300. 1. Using the sample data, perform the hypothesis test for each of the above situations in order to see if there is evidence to support your manager’s belief in each case a.-d. In each case use the Seven Elements of a Test of Hypothesis, in Section 6.2 of your text book with α = .05, and explain your conclusion in simple terms. Also be sure to compute the p-value and interpret. 2. Follow this up with computing 95% confidence intervals for each of the variables described in a.-d., and again interpreting these intervals. 3. Write a report to your manager about the results, distilling down the results in a way that would be understandable to someone who does not know statistics. Clear explanations and interpretations are critical
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>Sheet
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| 1 |
Location |
Income ($
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| 10 |
00)
Size |
Years |
Credit Balance($) |
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| Urban |
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| 5 |
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| 4 |
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| 3 |
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| 12 |
| 40 |
| 1
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| 6 |
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| Rural |
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| 30 |
2 12
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| 31 |
5
| 9 |
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| Suburban |
32 |
4
1
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| 7 |
| 51 |
00
Suburban
| 50 |
5
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| 14 |
47
| 42 |
Rural 31 2 4
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| 1
| 8 |
64 |
Urban
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| 55 |
2 9
4070 |
Rural
| 37 |
1
| 20 |
|
| 27 |
31
Urban 40 2 7
| 33 |
| 48 |
Suburban
| 66 |
4 10
4764 |
Urban 51 3
| 16 |
4
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| 11 |
0
Urban
25 |
3 11
4208 |
Urban 48 4 16
42
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| 19 |
Rural 27 1 19
2477 |
Rural 33 2 12
2514 |
Urban
65 |
3 12
4
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| 21 |
4
Suburban
63 |
4
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| 13 |
4965 |
Urban 55 6
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| 15 |
| 44 |
12
Urban 21 2
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| 18 |
2448 |
Rural 44 1 7
| 29 |
95
Urban 37 5 5
| 41 |
71
Suburban
| 62 |
6 13
5
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| 67 |
8
Urban 21 3 16
36
| 23 |
Suburban 55 7 15
5301 |
Rural 42 2 19
3020 |
Urban 41 7 18
4828 |
Suburban
| 54 |
6 14
5573 |
Rural 30 1 14
2583 |
Urban 48 2 8
3866 |
Urban
34 |
5 5
| 35 |
86
Suburban 67 4 13
5037 |
Rural 50 2 11
3605 |
Urban 67 5 1
5345 |
Urban 55 6 10
5370 |
Urban
52 |
2 11
| 3890 |
Urban 62 3 2
4705 |
Urban 64 2 6
4157 |
Suburban
| 22 |
3 18
3899 |
Urban 29 4 4 3890
Suburban
| 39 |
2 18
2972 |
Rural 35 1 11
3121 |
Urban 39 4 15
4183 |
Suburban 54 3 9
3730 |
Suburban 23 6 18
4127 |
Rural 27 2 1
2921 |
Urban
26 |
7
17 |
| 46 |
03
Suburban
61 |
2 14
4273 |
Rural 30 2 14
3067 |
Rural 22 4 16
3074 |
Suburban 46 5 13
4820 |
Suburban 66 4 20
5149 |
Sheet2
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