In: Statistics and Probability
The results of a (20 questions) multiple choice questions exam are recorded. Random samples of 10 and 12 students are investigated. For the 10 student sample, the individual performances are 11, 8, 8, 3, 7, 5, 9, 5, 1, and 3 errors. For the 12 student sample, the individual performances are 10, 11, 9, 7, 2, 11, 12, 3, 6, 7, 8, and 12 errors.
= 6, s1 = 3.13, n1 = 10
= 8.17, s2 = 3.33, n2 = 12
a) H0:
H1:
The pooled sample variance(sp2) = ((n1 - 1)s1^2 + (n2 - 1)s2^2)
= (9 * (3.13)^2 + 11 * (3.33)^2)/(10 + 12 - 2)
= 10.5075
The test statistic t = ()/sqrt(sp2/n1 +sp2/n2)
= (6 - 8.17)/sqrt((10.5075)^2/10 + (10.5075)^2/12)
= -0.48
df = 10 + 12 - 2 = 20
At alpha = 0.10, the critical values are t0.05, 20 = +/- 1.725
Since the test statistic value is not less than the negative critical value(-1.57 > -1.725), so we should not reject the null hypothesis.
b) At 90% confidence interval the critical value is t* = 1.725
The 90% confidence interval for is
() +/- t* * sqrt(sp2/n1 +sp2/n2)
= (6 - 8.17) +/- 1.725 * sqrt((10.5075)^2/10 + (10.5075)^2/12)
= -2.17 +/- 7.76
= -9.93, 5.59