The average length of time for students to enroll has been 50 minutes. If a random sample of 12 students incurred an average enrolment time of 42 minutes with a standard deviation of 11.9 minutes under a new enrolment system, test the hypothesis that the population mean is now less than 50 using a 0.05 level of significance. Assume that the length of time of the population is normal.
Solution.
The null hypothesis H0: "\\mu=50"
The alternative hypothesis H1: "\\mu<50"
Sample size "n=12"
Sample mean "\\bar X =42"
Sample standard deviation "\\sigma=11.9"
Significance level "\\alpha =0.05"
Since the alternative hypothesis is that "\\mu" is Less than this is a one tailed hypothesis test.
Since the sample size is less than 30 and the population standard deviation is not known, we use the T test
"df =n-1=12-1=11"
Since "\\alpha = 0.05" , T "=-1.7959"
"t_c =\\dfrac{\\bar X -\\mu_0 }{S\/\\sqrt n}=\\dfrac {42-50}{11.9\/\\sqrt12 }"
"t_c =-2.3288"
Since "t_c<T" we reject the hypothesis.
Since the null hypothesis is rejected, there is sufficient evidence to conclude that the population mean is now less than 50 at 0.05 level of significance.
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