Question

In: Statistics and Probability

Recall in our discussion of the normal distribution the research study that examined the blood vitamin...

Recall in our discussion of the normal distribution the research study that examined the blood vitamin D levels of the entire US population of landscape gardeners. The intent of this large-scale and comprehensive study was to characterize fully this population of landscapers as normally distributed with a corresponding population mean and standard deviation, which were determined from the data collection of the entire population.

Suppose you are now in a different reality in which this study never took place though you are still interested in studying the average vitamin D levels of US landscapers. In other words, the underlying population mean and standard deviation are now unknown to you. Furthermore, you would like to collect data from US office workers to examine the difference between the average vitamin D levels of landscapers and office workers, which will reflect any occupational sun exposure differences as measured by blood vitamin D levels. You obtain research funding to sample at random 45 landscapers and 31 office workers, collect blood samples, and send these samples to your collaborating lab in order to quantify the amount of vitamin D in both groups' blood. After anxiously awaiting your colleagues to complete their lab quantification protocol, they email you the following vitamin D level data as shown in the following tables.

Table 1. Landscapers
Subject Vitamin D
1 47.363
2 58.492
3 48.700
4 51.115
5 52.224
6 48.547
7 49.258
8 49.289
9 42.657
10 47.655
11 49.494
12 48.440
13 46.669
14 51.322
15 42.519
16 42.797
17 41.541
18 39.540
19 45.505
20 47.675
21 52.216
22 45.817
23 48.901
24 45.650
25 49.115
26 52.551
27 43.138
28 52.703
29 52.066
30 52.145
31 53.698
32 48.133
33 48.788
34 48.111
35 45.038
36 42.649
37 50.008
38 50.163
39 55.597
40 45.957
41 54.454
42 44.858
43 52.324
44 48.494
45 47.537
Table 2. Office Workers
Subject Vitamin D
1 40.445
2 40.820
3 50.853
4 53.302
5 53.123
6 50.409
7 46.463
8 52.296
9 52.439
10 50.728
11 52.007
12 48.892
13 53.052
14 51.037
15 49.433
16 56.822
17 49.609
18 53.978
19 48.579
20 45.722
21 46.759
22 52.477
23 50.545
24 45.033
25 48.982
26 54.726
27 48.743
28 43.796
29 47.321
30 54.831
31 45.392

What is the estimated 95% confidence interval (CI) of the average difference in blood vitamin D levels between US landscapers and office workers in ng/mL? Assign groups 1 and 2 to be landscapers and office workers, respectively.

Please note the following: 1) in practice, you as the analyst decide how to assign groups 1 and 2 and subsequently interpret the results appropriately in the context of the data, though for the purposes of this exercise the groups are assigned for you; 2) you might calculate a CI that is different from any of the multiple choice options listed below due to rounding differences, therefore select the closest match; 3) ensure you use either the large or small sample CI formula as appropriate; and 4) you may copy and paste the data into Excel to facilitate analysis.

Select one:

a. -2.63 to 0.75 ng/mL

b. -3.30 to 0.61 ng/mL

c. -3.46 to 0.59 ng/mL

d. -2.99 to 0.65 ng/mL

Solutions

Expert Solution

Sample #1   ----> 1
mean of sample 1,    x̅1=   48.465
standard deviation of sample 1,   s1 =    3.9746
size of sample 1,    n1=   45
      
Sample #2   ----> 2
mean of sample 2,    x̅2=   49.633
standard deviation of sample 2,   s2 =    3.9699
size of sample 2,    n2=   31

α=0.05

Degree of freedom, DF=   n1+n2-2 =    74              
t-critical value =    t α/2 =    1.9925   (excel formula =t.inv(α/2,df)          
                      
pooled std dev , Sp=   √([(n1 - 1)s1² + (n2 - 1)s2²]/(n1+n2-2)) =    3.9727              
                      
std error , SE =    Sp*√(1/n1+1/n2) =    0.9273              
margin of error, E = t*SE =    1.9925   *   0.93   =   1.84762  
                      
difference of means =    x̅1-x̅2 =    48.4647   -   49.633   =   -1.1680
confidence interval is                       
Interval Lower Limit=   (x̅1-x̅2) - E =    -1.1680   -   1.8476   =   -3.016
Interval Upper Limit=   (x̅1-x̅2) + E =    -1.1680   +   1.8476   =   0.680

so, answer is

d. -2.99 to 0.65 ng/mL


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