You are looking for a way to incentivize the sales reps that you are in charge of. You design an incentive plan as a way to help increase in their sales. To evaluate this innovative plan, you take a random sample of your reps, and their weekly incomes before and after the plan were recorded. You calculate the difference in income as (after incentive plan - before incentive plan). You perform a paired samples t-test with the following hypotheses: Null Hypothesis: μD≤ 0, Alternative Hypothesis: μD > 0. You calculate a p-value of 0.907. What is the appropriate conclusion of your test?
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Question 14 (1 point)
A student at a university wants to determine if the proportion of students that use iPhones is less than 0.44. If the student conducts a hypothesis test, what will the null and alternative hypotheses be?
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Question 15 (1 point)
Consumers Energy states that the average electric bill across the state is $42.22. You want to test the claim that the average bill amount is actually less than $42.22. The hypotheses for this situation are as follows: Null Hypothesis: μ ≥ 42.22, Alternative Hypothesis: μ < 42.22. If the true statewide average bill is $30.44 and the null hypothesis is rejected, did a type I, type II, or no error occur?
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13)
The null and alternative hypothesis is
Null Hypothesis: μD≤ 0, Alternative Hypothesis: μD > 0.
P-value = 0.907
P-value > 0.05 we fail to reject null hypothesis.
2) |
We did not find enough evidence to say there was a significantly positive average difference in weekly income. The incentive plan does not appear to have been effective. |
14)
Claim: The proportion of students that use iPhones is less than 0.44.
The null and alternative hypothesis is
3) |
HO: p ≥ 0.44 HA: p < 0.44 |
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