Question

- Based on past data, it is known that about 8.96% of people who
go to the doctor end up testing positive for influenza. Suppose we
take a sample of 100 doctor visits and find that 9.17% of people
test positive for influenza. We want to see if there is evidence
that the percentage of people who have influenza is increasing.
- If I wanted to control my margin of error and set it to 3% with 99% confidence, what sample size would I need to take instead of the 100?
- Using my original sample size of 100, what would be the 99% confidence interval for the population proportion?
- What are the null and alternative hypotheses?
- What is the critical value at 99% confidence?
- Calculate the test statistic (using the sample of 100).
- Find the p-value.
- What conclusion would be made here at the 99% confidence level?

Answer #1

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Based on past data, it is known that about 8.96% of people who
go to the doctor end up testing positive for influenza. Suppose we
take a sample of 100 doctor visits and find that 9.17% of people
test positive for influenza. We want to see if there is evidence
that the percentage of people who have influenza is increasing.
Show all steps with formulas used.
If I wanted to control my margin of error and set it to 3%...

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Thanksgiving. We want to see if there is evidence that the
percentage of people who eat pumpkin pie on Thanksgiving is
increasing.
If I wanted to control my margin of error and set it to 3% with
99% confidence, what sample size...

Based on past data, it is believed that on Thanksgiving,
70% of people eat pumpkin pie. Suppose we take a sample of 100
people and find that 75 of the people in that sample eat pumpkin
pie on Thanksgiving. We want to see if there is evidence that the
percentage of people who eat pumpkin pie on Thanksgiving is
increasing.
If I wanted to control my margin of error and set it to 3% with
99% confidence, what sample size...

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Using the sample of 15 people, what would the 95% confidence
interval be for the population mean?
What are the null and alternative hypotheses?
What is the...

It is known that the average tuition per semester at colleges
in Virginia is $3712. Suppose we take a sample of 15 colleges and
find that the average tuition per semester is $4512 with a sample
standard deviation of $595. We are interested in testing if the
average amount of tuition is increasing. Show work and formulas
used.
Using the sample of 15 people, what would the 95% confidence
interval be for the population mean?
What are the null and...

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For each hypothesis test, you must state (a) hypotheses,
(b) test statistic, p-value, (c) rejection rule, and (d) both parts
of the conclusion. It is only necessary to calculate the
effect size if the problem calls for it. Use a .05 level of
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and paste the relevant output for the solutions
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