2. The average length of time for students to
have their subjects controlled is 40 minutes. A
new controlling procedure using modern
computing machines is being tried. If a random
sample of 15 students has an average
controlling time of 25 minutes with a standard
deviation of 12.9 minutes under the new
system, test the hypothesis that the average
length of time to control student’s subjects is
less than 40 minutes. Use a level of
significance of 0.10 and assume the
population of controlling times to be normally
distributed.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\ge 40"
"H_a:\\mu<40"
This corresponds to a left-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha = 0.1," "df=n-1=14" degrees of freedom, and the critical value for a left-tailed test is "t_c = -1.34503."
The rejection region for this left-tailed test is "R = \\{t: t < -1.34503\\}."
The t-statistic is computed as follows:
Since it is observed that "t = -4.50347 <-1.34503= t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for left-tailed "df=14" degrees of freedom, "t=-4.50347" is "p = 0.000248," and since "p=0.000248<0.10=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is less than 40, at the "\\alpha = 0.10" significance level.
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