Consider the following sample data drawn independently from normally distributed populations with equal population variances.
Sample 1 | Sample 2 |
11.2 | 11.4 |
11.5 | 12.1 |
7.7 | 12.7 |
10.7 | 10.2 |
10.2 | 10.2 |
9.1 | 9.9 |
9.3 | 10.9 |
11.6 | 12.7 |
a. Construct the relevant hypotheses to test if the mean of the second population is greater than the mean of the first population.
a) H0: μ1 − μ2 = 0; HA: μ1 − μ2 ≠ 0
b) H0: μ1 − μ2 ≥ 0; HA: μ1 − μ2 < 0
c) H0: μ1 − μ2 ≤ 0; HA: μ1 − μ2 > 0
b-1. Calculate the value of the test statistic. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 2 decimal places and final answer to 2 decimal places.)
Test statistic =
b-2. Calculate the critical value at the 5% level of significance. (Negative value should be indicated by a minus sign. Round your answer to 3 decimal places.)
Critical value =
b-3. Using the critical value approach, can we reject the null hypothesis at the 5% significance level?
a) Yes, since the value of the test statistic is less than the critical value of -1.761.
b) Yes, since the value of the test statistic is less than the critical value of -2.145.
c) No, since the value of the test statistic is not less than the critical value of -2.145.
d) No, since the value of the test statistic is not less than the critical value of -1.761.
c. Using the critical value approach, can we reject the null hypothesis at the 10% level?
a) Yes, since the value of the test statistic is less than the critical value of -1.345.
b) Yes, since the value of the test statistic is less than the critical value of -1.761.
c) No, since the value of the test statistic is not less than the critical value of -1.345.
d) No, since the value of the test statistic is not less than the critical value of -1.761.
a)
b) H0: μ1 − μ2 ≥ 0; HA: μ1 − μ2 < 0
b-1)
sample 1 | sample 2 | |||
x1 = | 10.16 | x2 = | 11.26 | |
s1 = | 1.37 | s2 = | 1.14 | |
n1 = | 8 | n2 = | 8 | |
Pooled Variance Sp2=((n1-1)s21+(n2-1)*s22)/(n1+n2-2)= | 1.5898 |
Point estimate : x1-x2= | -1.1000 | ||
standard error se =Sp*√(1/n1+1/n2)= | 0.630 | ||
test stat t =(x1-x2-Δo)/Se= | -1.74 |
b-2)
for 0.05 level ,left tail test &14 df, critical t= | -1.761 |
b3)
d) No, since the value of the test statistic is not less than the critical value of -1.761.
c)
a) Yes, since the value of the test statistic is less than the critical value of -1.345.
Get Answers For Free
Most questions answered within 1 hours.