In: Statistics and Probability
Med Student Sleep Average: Here we consider a small study on the sleep habits of med students and non-med students. The study consists of the hours of sleep per night obtained from 32 non-med students and 24 med students. The summarized data is given in the table below. Here,
x is the mean hours of sleep per night from each sample.
Necessary information:
n | x | s2 | s | |
Non−Med (x1) | 32 | 6.3 | 1.9 | 1.38 |
Med (x2) | 24 | 5.5 | 0.9 | 0.95 |
The Test: Test the claim that, on average, the
mean hours of sleep for all med students is different from that for
non-med students. Test this claim at the 0.01 significance
level.
(a) The claim states there is a difference between population means (μ1 − μ2 ≠ 0). What type of test is this?
This is a two-tailed test.
This is a right-tailed test.
This is a left-tailed test.
(b) Calculate the test statistic using software or the formula below
t =
(x1 − x2) − δ | ||||||
|
where δ is the hypothesized difference in means from
the null hypothesis. Round your answer to 2 decimal
places.
t =
To account for hand calculations -vs- software, your answer
must be within 0.01 of the true answer.
(c) Use software to get the P-value of the test statistic.
Round to 4 decimal places.
P-value =
(d) What is the conclusion regarding the null hypothesis?
reject H0
fail to reject H0
(e) Choose the appropriate concluding statement.
The data supports the claim that, on average, the mean hours of sleep for all med students is different from that for non-med students.
There is not enough data to support the claim that, on average, the mean hours of sleep for all med students is different from that for non-med students.
We reject the claim that, on average, the mean hours of sleep for all med students is different from that for non-med students.
We have proven that, on average, the mean hours of sleep for all med students is different from that for non-med students.
Here we test the following hypothesis,
H0 : the mean hours of sleep for all med students is same as that of non-med students i.e. v/s
H1 : the mean hours of sleep for all med students is different from that for non-med students, i.e.
(a) The following test is a two-tailed test.
(b) The test statistic is calculated using minitab software.
(Steps for calculation : Stat -- basic staistics -- two sample t -- choose summarized data -- input the data)
Thus the calculated t value = 2.57
(c) p value = 0.0130 ( calculated using minitab software)
(d) here since = level of significance
p value >
So, we fail to reject the null hypothesis
(e) The appropriate concluding statement is:
There is not enough data to support the claim that, on average, the mean hours of sleep for all med students is different from that for non-med students.