In: Math
A business school claims that students who complete a 3-month typing course can type a mean of more than 1200 words an hour. A random sample of 25 students who completed this course typed a mean of 1125 words an hour, with a standard deviation of 85 words. Assume that typing speeds for all students who complete this course have an approximately normal distribution. A) Using the P-Value method and a significance level of 1%, is there evidence to support the business school’s claim? B) Construct the corresponding confidence interval and explain how it supports your conclusion in (a).
Part a
H0: µ = 1200 versus Ha: µ > 1200
We are given α = 0.01, n = 25, Xbar = 1125, S = 85, df = n – 1 = 24
Test statistic = t = (Xbar - µ)/[S/sqrt(n)]
t = (1125 – 1200) / [85/sqrt(25)]
t = -4.4118
P-value = 0.9999
P-value > α = 0.01
(by using t-table)
So, we do not reject the null hypothesis
There is insufficient evidence to conclude that students who complete a 3-month typing course can type a mean of more than 1200 words an hour.
Part b
Confidence interval = Xbar ± t*S/sqrt(n)
t = 2.7969 (by using t-table)
Confidence interval = 1125 ± 2.7969*85/sqrt(25)
Confidence interval = 1125 ± 2.7969* 17
Confidence interval = 1125 ± 47.5480
Lower limit = 1125 - 47.5480 = 1077.45
Upper limit = 1125 + 47.5480 = 1172.55
The claim value of 1200 is not contain in above interval, so we cannot conclude that students who complete a 3-month typing course can type a mean of more than 1200 words an hour.