Explanation not necessary. I would like to check my answers against those of an expert. I am getting a different result (value) each time I re-do the calculation.

Question 1:

Suppose the true proportion of voters in the county who support a specific candidate is 0.47. Consider the sampling distribution for the proportion of supporters with sample size n = 215. What is the mean of this distribution? What is the standard error of this distribution? :] Suppose 9% of students are veterans and 137 students are involved in sports. How unusual would it be to have no more than 10 veterans involved in sports? (10 veterans is about 7.299396) When working with samples of size 137, what is the mean of the sampling distribution for the proportion of When working with samples of size 137, what is the standard error of the sampling distribution for the proportion of veterans? I: Compute P03 5 0.072993). NOTE: Give results accurate to 5 decimal places Is this result unusual? Yes, there is a less than 50% chance of this happening by random variation. No, there is at least a 50% chance of this happening by random variation. In an effort to cut costs and improve profits, any US companies have been turning to outsourcing. In fact, according to "Purchasing" magazine, 54% of companies surveyed outsourced some part of their manufacturing process in the past two to three years. Suppose 555 of these companies are contacted. a) What is the probability that 338 or more companies outsourced some part of their manufacturing process in the past two or three years? Write your answer as a decimal rounded to four decimal places. [:1 b) What is the probability that 285 or more companies outsourced some part of their manufacturing process in the past two or three years? Write your answer as a decimal rounded to four decimal places. [:1 c) What is the probability that 48% or less of these companies outsourced some part of their manufacturing process in the past two or three years? Write your answer as a decimal rounded to four decimal places. [:1 If 15% of adults in a certain country work from home, what is the probability that fewer than 24 out of a random sample of 200 adults will work from home? (Round your answer to 3 decimal places) :1 According to the manufacturer's data, 5.1% of the items coming off the production line have a defect. A random sample of size 232 was obtained. Let 16 be the proportion of the sample that have a defect. 1. Use the Central Limit Theorem ( Select an answer a ) to describe the probability distribution of 33 and state its parameters p.13 and 013: (Round the answers to 4 decimal places) I3 N Select an answer 9 (pp 2 D, 0'}, = D) 2. Find the probability that less than 4% of the sample have a defect. [3 (Round the answer to 4 decimal places) Suppose it is reported that 74 96 of people subscribe to a cable or satellite television service. You decide to test this claim by randomly sampling 132 people and asking them if they subscribe to cable or satellite televsion. Is the distribution of the sample proportion normal? No, the distribution of sample proportions is not normal since np(1 p)