The data accompanying this exercise show miles per gallon (mpg) for 25 cars.
| 97 |
| 117 |
| 93 |
| 79 |
| 97 |
| 87 |
| 78 |
| 83 |
| 94 |
| 96 |
| 102 |
| 98 |
| 82 |
| 96 |
| 113 |
| 113 |
| 111 |
| 90 |
| 101 |
| 99 |
| 112 |
| 89 |
| 92 |
| 96 |
| 98 |
a. Select the null and the alternative hypotheses in order to test whether the variance differs from 62 mpg2.
H0: σ2 = 62(mpg)2; HA: σ2 ≠ 62(mpg)2
H0: σ2 ≤ 62(mpg)2; HA: σ2 > 62(mpg)2
H0: σ2 ≥ 62(mpg)2; HA: σ2 < 62(mpg)2
b. Assuming that mpg is normally distributed, calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
c. Find the p-value.
p-value < 0.01
0.01 ≤ p-value < 0.02
0.02 ≤ p-value < 0.05
0.05 ≤ p-value < 0.10
p-value ≥ 0.10
d. Make a conclusion at α = 0.01.
Reject H0; we can say that the variance differs from 62.
Reject H0; we cannot say that the variance differs from 62.
Do not reject H0; we can say that the variance differs from 62.
Do not reject H0; we cannot say that the variance differs from 62.

The data accompanying this exercise show miles per gallon (mpg) for 25 cars. 97 117 93...
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In order to conduct a hypothesis test for the population
proportion, you sample 450 observations that result in 189
successes. (You may find it useful to reference the
appropriate table: z table or t
table)
H0: p ≥ 0.45;
HA: p < 0.45.
a-1. Calculate the value of the test statistic.
(Negative value should be indicated by a minus sign. Round
intermediate calculations to at least 4 decimal places and final
answer to 2 decimal places.)
TEST STATISTIC =
a-2....
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