Consider the following competing hypotheses and accompanying
sample data drawn independently from normally distributed
populations. (You may find it useful to reference the
appropriate table: z table or t
table)
H0: μ1 −
μ2 ≥ 0
HA: μ1 −
μ2 < 0
x−1x−1 = 232 | x−2x−2 = 259 |
s1 = 30 | s2 = 20 |
n1 = 6 | n2 = 6 |
a-1. Calculate the value of the test statistic
under the assumption that the population variances are equal.
(Negative values should be indicated by a
minus sign. Round all intermediate calculations to at least 4
decimal places and final answer to 3 decimal
places.)
b-1. Calculate the value of the test statistic under the assumption that the population variances are unknown and are not equal. (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
The statistical software output for this problem is :
(a-1)
Test statistics = -1.834
(b-1)
Test statistics = -1.834
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