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?

30

step-by-step explanation:

idk

i hope i

answer: 42

use a calculator to find that 845/73 = 11.575

the whole part of the answer is 11. multiply this by 73 to get 11*73 = 803.

subtract that result from 845 to get 845 - 803 = 42

for a it would be 24 children.

for b i don't understand the question. is it saying for each individual person they pick 5 reds to 7 greens or is it the whole group. clarify and i hope this can you.

step-by-step explanation:

think about the doctor who treated the major and the speaker in the short story "in another country." put yourself in the shoes of the doctor, and based on what you read in the story, write what you think his thoughts about the major and the speaker would be. use the following vocabulary in your response and change the form of these words as needed: detached resign withered