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.
The data set consists of 65 patients that have the infectious disease with ages ranging from 41 years of age to 84 years of age for NCLEX Memorial Hospital.
Age |
69 |
41 |
57 |
55 |
45 |
59 |
71 |
71 |
72 |
67 |
60 |
65 |
73 |
72 |
42 |
45 |
65 |
47 |
44 |
51 |
71 |
66 |
84 |
56 |
61 |
59 |
68 |
73 |
50 |
55 |
77 |
57 |
47 |
71 |
58 |
49 |
65 |
60 |
44 |
61 |
57 |
63 |
61 |
60 |
62 |
55 |
66 |
50 |
77 |
66 |
66 |
65 |
57 |
69 |
59 |
70 |
53 |
76 |
74 |
68 |
55 |
61 |
81 |
43 |
67 |
Continue the hypothesis test based on the claim that the average age of all patients admitted to the hospital with infectious diseases is less than 64 years of age. Show your results and formulas used for the following calculations:
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How is this done in EXCEL??
Solve using Excel functions:
Mean: x = AVERAGE( ) = 61.292
Standard deviation: s = STDEV.S( ) = 10.218
n = 65, μ = 64
Degrees of freedom: df = n-1 = 65-1 = 64
Level of significance = 0.05
H0: μ = 64
H1: μ < 64
Test statistic: t = (x-μ)/(s/n^0.5) = (61.292-64)/(10.218/65^0.5) = -2.137
Critical value (Using Excel function T.INV(probbability, df)) = T.INV(0.05,64) = -1.669
p-value (Using Excel function T.DIST(test statistic, df, cumulative)) = T.DIST(-2.137, 64, TRUE) = 0.018
Since p-value is less than 0.05, we reject the null hypothesis and conclude that μ < 64.
So, average age of all patients admitted to the hospital with infectious diseases is less than 64 years.
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