# Answer to Question #8713 in Statistics and Probability for mathhater

Question #8713
2. A teacher wants to investigate whether there is a difference between male and female students in the amount of time they spend studying for statistics. The table below shows the amount of time students spend studying statistics each week. The amounts of time spent studying are normally distributed. Male Female 27 25 25 29 19 18 10 23 16 20 17 15 15 19 a. What statistical test should be used to analyze the data? b. Is this a one- or two tailed test? c. Identify H0 and Ha for this study. d. Conduct the appropriate analysis. Should H0 be rejected?
2. A teacher wants to investigate whether there is a difference between male and female students in the amount of time they spend studying for statistics. The table below shows the amount of time students spend studying statistics each week. The amounts of time spent studying are normally distributed.&
Male Female
27 25
25 29
19 18
10 23
16 20
17 15
15 19
a. What statistical test should be used to analyze the data?

Try an independent groups t-test.
&
b. Is this a one- or two tailed test?

This will be a two-tailed test because the problem is just asking if there is a difference, which could be in either direction.
&
c. Identify H0 and Ha for this study.

Ho: &micro;1 = &micro;2 --&gt;population means are equal
Ha: &micro;1 does not equal &micro;2 --&gt;population means are not equal
&
d. Conduct the appropriate analysis. Should H0 be rejected?

xbar1 = 18.429
s1 = 5.884
n1 = 7

xbar2 = 21.286
s2 = 4.716
n2 = 7

Pooled variance : Sp^2 = (5.884^2(7 - 1) + 4.716^2(7 - 1))/(7 + 7 - 2) = 28.429

Degree of freedom = 7 + 7 - 2 = 12

Test statistic = (18.429 - 21.286) / sqrt(28.429(1/7 + 1/7)) = -1.002

Let significance level = 0.05

Critical value : t cr = &plusmn;2.179

We cannot reject the null hypothesis since the test statistic is not more extreme than the critical values.

We don&#039;t have sufficient evidence to conclude that there is a difference between male and female students in the amount of time they spend studying for statistics.

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