You are currently working at NCLEX Memorial Hospital in the Infectious Diseases Unit. Over the past few days, you have noticed an increase in patients admitted with a particular infectious disease. You believe that the ages of these patients play a critical role in the method used to treat the patients. You decide to speak to your manager, and together you work to use statistical analysis to look more closely at the ages of these patients.
You do some research and put together a spreadsheet of the data that contains the following information:
Client number
Infection disease status
Age of the patient
You are to put together a PowerPoint presentation that explains the analysis of your findings which you will submit to your manager. The presentation should contain all components of your findings. For review, the components of the report should include:
Brief overview of the scenario and variables in the data set
Discussion, calculation, and interpretation of the mean, median, mode, range, standard deviation, and variance
Discussion, construction, and interpretation of the 95% confidence interval
Explanation of the full hypothesis test
Conclusion
The calculations should be performed in your spreadsheet that you will also submit to your manager. You can find additional information on what to add to your PowerPoint presentation in this Word document. Use the questions in the worksheet as your guide for the contents of your presentation.
For your final deliverable, submit your PowerPoint presentation and the Excel workbook showing your work. Do not submit your Word document.
Patient # | Infectious Disease | Age |
1 | Yes | 67 |
2 | Yes | 38 |
3 | Yes | 58 |
4 | Yes | 52 |
5 | Yes | 46 |
6 | Yes | 61 |
7 | Yes | 74 |
8 | Yes | 69 |
9 | Yes | 67 |
10 | Yes | 70 |
11 | Yes | 65 |
12 | Yes | 69 |
13 | Yes | 72 |
14 | Yes | 69 |
15 | Yes | 45 |
16 | Yes | 49 |
17 | Yes | 72 |
18 | Yes | 52 |
19 | Yes | 46 |
20 | Yes | 57 |
21 | Yes | 70 |
22 | Yes | 67 |
23 | Yes | 77 |
24 | Yes | 59 |
25 | Yes | 59 |
26 | Yes | 61 |
27 | Yes | 72 |
28 | Yes | 71 |
29 | Yes | 52 |
30 | Yes | 58 |
31 | Yes | 73 |
32 | Yes | 52 |
33 | Yes | 47 |
34 | Yes | 68 |
35 | Yes | 55 |
36 | Yes | 45 |
37 | Yes | 59 |
38 | Yes | 58 |
39 | Yes | 47 |
40 | Yes | 62 |
41 | Yes | 62 |
42 | Yes | 64 |
43 | Yes | 62 |
44 | Yes | 56 |
45 | Yes | 62 |
46 | Yes | 52 |
47 | Yes | 70 |
48 | Yes | 51 |
49 | Yes | 70 |
50 | Yes | 69 |
51 | Yes | 69 |
52 | Yes | 60 |
53 | Yes | 57 |
54 | Yes | 68 |
55 | Yes | 64 |
56 | Yes | 64 |
57 | Yes | 56 |
58 | Yes | 72 |
59 | Yes | 70 |
60 | Yes | 67 |
Descriptive Statistics: Age
Variable N Mean SE Mean StDev Variance CoefVar Minimum Q1
Age 60 61.25 1.17 9.07 82.26 14.81 38.00 55.25
Variable Median Maximum IQR Mode Skewness Kurtosis
Age 62.00 77.00 13.75 52, 69, 70 -0.49 -0.60
Hence Median>Mean and it is not unimodal distribution. The distribution is negatively skewed.
Hence the above plot we observe that the data do not follow normal distribution.
One-Sample T: Age
Variable N Mean StDev SE Mean 95% CI
Age 60 61.25 9.07 1.17 (58.91, 63.59)
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