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yan [13]
3 years ago
14

Researchers at Gallup were interested in whether there was a decrease in the proportion of nonretirees (in other words, people w

ho are not yet retired) who did not believe that the U.S. Social Security program will be able to pay them a retirement benefit when they retire. In the summer of 2010, the Gallup poll found that 60% of nonretirees thought that Social Security would not be able to pay a benefit. Five years later in the summer of 2015, Gallup asked the same question to 1,282 nonretirees and found that 51% of respondents did not think that Social Security would be able to pay a retirement benefit by the time that they retire. We would like to test the hypothesis that in 2015 there is a lower proportion of nonretirees who do not think that Social Security will be able to pay them a benefit. A z-test for the population proportion showed that z = -4.29, p < 0.001.
Which of the following is the best conclusion based on the output?

A. We have extremely strong evidence to reject H0.

B. We have extremely strong evidence to reject Ha.

C. We have moderately strong evidence to reject H0.

D. There is a probability of 0 that H0 is correct.

E. There is a probability of 0 that Ha is correct.
Mathematics
1 answer:
Lera25 [3.4K]3 years ago
8 0

Answer:

A. We have extremely strong evidence to reject H0.

Step-by-step explanation:

Let P be the proportion of non-retirees in 2015 who did not think that Social Security would be able to pay a retirement benefit by the time that they retire.

According to the data null and alternative hypotheses should be:

  • H_{0}: P=0.60
  • H_{a}: P<0.60

Test statistics is -4.29 and p-value of the statistics is p<0.001

At every significance levels higher than 0.001, we can reject the null hypothesis since p<0.001.

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Answer:

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Step-by-step explanation:

For amounts over $6000, the commission can be computed as ...

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The commission schedule suggests that for larger amounts, you divide the problem into two parts: calculate the commission on $6000, and separately calculate the commission on the amount over $6000.

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