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Deliverable 07 Worksheet
Scenario
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 need the preliminary findings immediately so that you can start treating these patients.
So, let’s get to work!
Background information on the Data:
The data set consists of 60 patients that have the infectious disease with ages ranging from
35 years of age to 76 years of age for NCLEX Memorial Hospital.
Requirements:
1) Answer the questions below in a PowerPoint presentation.
2) Include only the summary calculations in your slides (not formulas).
3) Show calculations in your Excel spreadsheet (include formulas and do not round the
numbers).
Slide 1: Title
Introduce your scenario and data set.
○ Slide 2: Provide a brief overview of the scenario you are given above and the
data set that you will be analyzing.
o Slide 3: Classify the variables in your data set.
Which variables are quantitative/qualitative?
Which variables are discrete/continuous?
Describe the level of measurement for each variable included in the data
set (nominal, ordinal, interval, ratio)
● Discuss the importance of the Measures of Center and the Measures of Variation.
o Slide 4: What are the measures of center and why are they important?
o Slide 5: What are the measures of variation and why are they important?
● Slide 6: Calculate the measures of center and measures of variation. Interpret your
results in context of the scenario.
o Mean

Median
Mode
Midrange
Range
Variance
Standard deviation
Slide 7: Discuss the importance of constructing confidence intervals for the population
o What are confidence intervals?
o What is a point estimate?
o What is the best point estimate for the population mean? Explain.
o Why do we need confidence intervals?
Slide 8: Construct a 95% confidence interval for the population mean. Assume that your
data is normally distributed and σ is unknown. Include a statement that correctly
interprets the confidence interval in context of the scenario.
Perform the following hypothesis test:
o Original Claim: The average age of all patients admitted to the hospital with
infectious diseases is less than 65 years of age.
Test the claim using α = 0.05 and assume your data is normally
distributed and σ is unknown.
1. Slide 9: Write the null and alternative hypothesis symbolically and
identify which hypothesis is the claim.
2. Slide 9: Is the test two-tailed, left-tailed, or right-tailed? Explain.
3. Slide 10: Which test statistic will you use for your hypothesis test; z-test
or t-test? Explain.
4. Slide 10: What is the value of the test-statistic? What is the p-value?
What is the critical value?
5. Slide 11: What is your decision; reject the null hypothesis, or do not
reject the null hypothesis?
your p-value and the critical value.
6. Slide 11: State the final conclusion in nontechnical terms.
Slide 12: Conclude by recapping your ideas by summarizing the information presented
in context of the scenario.
o Include the mean, standard deviation, confidence interval with interpretation,
and results of the hypothesis test.
o What conclusions, if any, do you believe you can draw as a result of your study?
o What did you learn from the project about the population based on this sample?
What did you learn about the specific statistical tests you conducted?
o
o
o
o
o
o
4.
5.
6.
7.
MAG
0.70
0.74
0.64
0.39
0.70
2.20
1.98
0.64
1.22
0.20
1.64
1.32
2.95
0.90
1.76
1.01
1.26
0.00
0.65
1.46
1.22
1.83
0.99
1.56
0.40
1.28
0.83
1.34
0.54
1.25
0.92
1.00
0.79
0.79
1.44
1.00
2.24
2.50
2.24
1.25
1.49
0.84
1.42
1.00
1.25
1.42
1.35
0.93
0.40
1.39
DEPTH
7.2
2.2
13.9
15.5
3.0
16.2
14.4
5.7
6.1
9.1
17.2
8.7
17.9
12.3
7.4
7.0
17.1
8.8
6.0
19.1
14.3
4.7
8.6
6.0
14.6
4.9
19.1
9.9
16.1
4.6
4.9
16.1
14.0
4.2
5.9
5.4
15.6
11.1
15.4
16.4
4.9
8.1
7.5
14.1
11.1
16.0
5.5
7.3
3.1
6.0
Patient #
Infectious Disease
Age
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
68
41
59
55
45
78
75
67
65
71
67
66
70
71
44
46
73
54
43
56
67
67
75
77
62
61
72
74
54
61
73
49
48
69
72
76
62
58
46
62
63
66
64
55
64
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
49
72
49
70
70
70
58
60
70
67
67
54
75
69
64