Consider a company which has a total population of 100 employees. The company recently conducted a census and measured the annual salary of its population (alongside other characteristics about the employees). You have been provided with an excel file and a pdf that contain this data. These 100 individuals comprise the population in our analysis. a)  From the dataset select at random 5 different samples of 10 individuals. For each sample, randomly select 10 individuals from the company. After you have finished randomly selecting the 10 individuals for your first sample, record their information and then put them back in the population before starting the selection process for your next sample. Please do this 5 times, recording the ID number and income for each selection of each sample. Show your selections for all 5 samples. b)  Carefully explain the process you use in selecting these samples. How does your procedure ensure that the samples are randomly selected? c)  Compute the sample mean for all 5 samples. Note that the sample mean can be obtained using the 1? formula ? = ? ∑?=1 ?? (where n is the number of observations in the sample). d)  Suppose the sample contains individuals with ID’s {7,17,29,35,37,59,73,77,89,96}. For this sample: Calculate the mean Salary, the mean Age, the fraction who are female, and the fraction who have a Degree. Compare these to the summary statistics of the population and comment

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Consider a company which has a total population of 100 employees. The company recently conducted a census and measured the annual salary of its population (alongside other characteristics about the employees). You have been provided with an excel file and a pdf that contain this data. These 100 individuals comprise the population in our analysis.

  1. a)  From the dataset select at random 5 different samples of 10 individuals. For each sample, randomly select 10 individuals from the company. After you have finished randomly selecting the 10 individuals for your first sample, record their information and then put them back in the population before starting the selection process for your next sample. Please do this 5 times, recording the ID number and income for each selection of each sample. Show your selections for all 5 samples.

  2. b)  Carefully explain the process you use in selecting these samples. How does your procedure ensure that the samples are randomly selected?

  3. c)  Compute the sample mean for all 5 samples. Note that the sample mean can be obtained using the

    1?
    formula ? = ? ∑?=1 ?? (where n is the number of observations in the sample).

  4. d)  Suppose the sample contains individuals with ID’s {7,17,29,35,37,59,73,77,89,96}. For this sample: Calculate the mean Salary, the mean Age, the fraction who are female, and the fraction who have a Degree. Compare these to the summary statistics of the population and comment.

  5. thank you 

ID
mean
Salary
33474
Salary
1
28600
2
47700
3
40000
4
48400
5
33300
6
30200
7
16800
8
36800
9
15500
10
53100
11
31100
12
18400
13
25800
14 47800
15
52100
16
46000
17
32500
18
28600
19
27000
20
38000
21 23000
22 44600
23 33400
24 46000
25 34300
26 25200
27 28800
28 31600
29 12900
30 26200
31 37200
32 33500
33 15800
34 17200
35 29300
36 41600
37 48600
38 31200
39 31500
40 39300
41 39400
42 16400
43 34900
44 40900
Population Summary Statistics
Age
32.86
Age
39
37
44
26
36
26
29
36
31
39
29
42
32
35
25
33
38
33
31
27
32
37
43
30
31
38
26
34
34
35
33
33
९
38
41
27
21
39
36
34
40
37
35
35
30
Male (=0) or Female (=1)| Degree (No=0, Yes=1)
0.56
0.3
Population Data
Male (-0) or Female (=1) Degree (No=0, Yes=1)
0
0
1
1
1
1
1
0
1
1
1
1
1
1
0
0
0
1
0
0
1
0
1
1
1
1
1
1
1
0
0
0
0
0
0
1
1
HOLHO O O
1
0
1
1
0
0
OLLO o o o o OOHH OOOOOOOOOOOOO o o o o HHOO OHOHOOTE
0
1
1
0
0
0
1
1
1
1
0
0
0
1
1
0
1
1
Transcribed Image Text:ID mean Salary 33474 Salary 1 28600 2 47700 3 40000 4 48400 5 33300 6 30200 7 16800 8 36800 9 15500 10 53100 11 31100 12 18400 13 25800 14 47800 15 52100 16 46000 17 32500 18 28600 19 27000 20 38000 21 23000 22 44600 23 33400 24 46000 25 34300 26 25200 27 28800 28 31600 29 12900 30 26200 31 37200 32 33500 33 15800 34 17200 35 29300 36 41600 37 48600 38 31200 39 31500 40 39300 41 39400 42 16400 43 34900 44 40900 Population Summary Statistics Age 32.86 Age 39 37 44 26 36 26 29 36 31 39 29 42 32 35 25 33 38 33 31 27 32 37 43 30 31 38 26 34 34 35 33 33 ९ 38 41 27 21 39 36 34 40 37 35 35 30 Male (=0) or Female (=1)| Degree (No=0, Yes=1) 0.56 0.3 Population Data Male (-0) or Female (=1) Degree (No=0, Yes=1) 0 0 1 1 1 1 1 0 1 1 1 1 1 1 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 0 0 0 0 0 0 1 1 HOLHO O O 1 0 1 1 0 0 OLLO o o o o OOHH OOOOOOOOOOOOO o o o o HHOO OHOHOOTE 0 1 1 0 0 0 1 1 1 1 0 0 0 1 1 0 1 1
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