statistics help The following data, recorded in days, represent the length of ti
ID: 3223412 • Letter: S
Question
statistics help
The following data, recorded in days, represent the length of time to recovery for patients randomly treated with one of two medications to clear up severe bladder infections: a. Find a 95% confidence interval for the difference in the mean recovery time (mu_2 - mu_1) for the two medications, assuming normal populations. b. The producer of Medication 2 claims that the patient recovery time of their medication is faster than Medication 1. A FDA statistician wants to test this claim. What are the null and alternative hypotheses? With alpha = 5%, what is the conclusion for this test?Explanation / Answer
(a)
n1 = 20
n2 = 15
x1-bar = 16
x2-bar = 20
s1 = 1.8
s2 = 1.5
% = 95
Degrees of freedom = n1 + n2 - 2 = 20 + 15 -2 = 33
Pooled s = (((n1 - 1) * s1^2 + (n2 - 1) * s2^2)/DOF) = (((20 - 1) * 1.8^2 + ( 15 - 1) * 1.5^2)/(20 + 15 -2)) = 1.679285562
SE = Pooled s * ((1/n1) + (1/n2)) = 1.67928556237467 * ((1/20) + (1/15)) = 0.573585216
t- score = 2.034515287
Width of the confidence interval = t * SE = 2.03451528722141 * 0.573585215987999 = 1.16696789
Lower Limit of the confidence interval = (x1-bar - x2-bar) - width = -4 - 1.16696789045178 = -5.16696789
Upper Limit of the confidence interval = (x1-bar - x2-bar) + width = -4 + 1.16696789045178 = -2.83303211
The 95% confidence interval is [-5.17, -2.83]
(b) Ho: 2 = 1 versus Ha: 2 < 1
Data:
n1 = 20
n2 = 15
x1-bar = 16
x2-bar = 20
s1 = 1.8
s2 = 1.5
Hypotheses:
Ho: 1 2
Ha: 1 < 2
Decision Rule:
= 0.05
Degrees of freedom = 20 + 15 - 2 = 33
Critical t- score = -1.692360258
Reject Ho if t < -1.692360258
Test Statistic:
Pooled SD, s = [{(n1 - 1) s1^2 + (n2 - 1) s2^2} / (n1 + n2 - 2)] = (((20 - 1) * 1.8^2 + (15 - 1) * 1.5^2) / (20 + 15 - 2)) = 1.679285562
SE = s * {(1 /n1) + (1 /n2)} = 1.67928556237467 * ((1/20) + (1/15)) = 0.573585216
t = (x1-bar -x2-bar)/SE = (16 - 20)/0.573585215987999 = -6.973680438
p- value = 2.83484E-08
Decision (in terms of the hypotheses):
Since -6.973680438 < -1.692360258 we reject Ho and accept Ha
Conclusion (in terms of the problem):
The claim is true. Medication 2 acts faster than Medication 1.
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