Use the given statistics to complete parts (a) and (b). Assume that the populations are normally distributed.
(a) Test whether mu 1 μ1 greater than > mu 2 μ2 at the alpha α equals = 0.05 0.05 level of significance for the given sample data.
(b) Construct a 95% confidence interval about mu 1 μ1 minus − mu 2 μ2.
Population 1 Population 2
N 22 N 23
X 50.3 X 48.2
S 5.6 S 10.6
(a) Identify the null and alternative hypotheses for this test
A. Upper H 0 H0: mu 1 μ1 equals = mu 2 μ2 Upper H 1 H1: mu 1 μ1 greater than > mu 2 μ2 --Your answer is correct
. B. Upper H 0 H0: mu 1 μ1 less than < mu 2 μ2 Upper H 1 H1: mu 1 μ1 equals = mu 2 μ2
C. Upper H 0 H0: mu 1 μ1 greater than > mu 2 μ2 Upper H 1 H1: mu 1 μ1 equals = mu 2 μ2
D. Upper H 0 H0: mu 1 μ1 equals = mu 2 μ2 Upper H 1 H1: mu 1 μ1 less than < mu 2 μ2
E. Upper H 0 H0: mu 1 μ1 equals = mu 2 μ2 Upper H 1 H1: mu 1 μ1 not equals ≠ mu 2 μ2
F. Upper H 0 H0: mu 1 μ1 not equals ≠ mu 2 μ2 Upper H 1 H1: mu 1 μ1 equals = mu 2 μ2
C) Find the test statistic for this hypothesis test. ____ (Round to two decimal places as needed.)
a).
The hypotheses for this test can be constructed as:
Null hypothesis:
Alternative hypothesis:
Thus, Option A) is correct.
b).
The confidence interval can be obtained using two sample t test.
Now, the degree of freedom = N1+N2-2 = 22 + 23 - 2 = 43
The t critical value at 0.05 level of significance with 43 degree of freedom from the t value table is 2.02.
Now, the confidence interval can be obtained as:
c). The value of the test statistic can be obtained as:
Thus, the value of the test statistic is 0.84.
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