A population proportion is 0.5. Suppose a random sample of 658 items is sampled randomly from this population.

A direct mail company wishes to estimate the proportion of people on a large mailing list that will purchase a product. Suppose the true proportion is 0.06. If 224 are sampled, what is the probability that the sample proportion will be less than 0.05? Round your answer to four decimal places.

A population distribution has o =6. What position in this distribution is identified bya z-score = + 2.00?

Solve the last part  what is the source of variability in the random variable? B. The sample size was weing

About 79% of all female heart transplant patients will survive for at least 3 years. Eighty female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least 3 years will be less than 70%? Assume the sampling distribution of sample proportions is a normal distribution. pq The mean of the sample proportion is equal to the population proportion and the standard deviation is equal to n The probability that the sample proportion surviving for at least 3 years will be less than 70% is| (Round to four decimal places as needed.)

Please answer number 2

Q2/ Clothes manufacturing machine, the probability of appearing damaged products is 0.02. At the beginning of operation: 1. What is the probability that the 10th piece appearing damaged 2. Find mean and variance of the piece appearing damaged

find mean and sd.. Outcome Probability 1 0.02 2 0.13 3 0.21 4 0.18 5 0.46

In 1995, the median price of a PC was $1200. Suppose that a random sample of100 persons who bought their PCs during that year recorded the amount spent (byeach of them) on his/her PC. State the approximate sampling distribution of ˆp, theproportion of persons who spent more than $1200 on a PC. Find the probabilitythat more than 60% of this group spent more than $1200.   NOTE: Please explain each part, so the problem can be used as a Study Guide

Suppose you did an experiment with 3 groups and 16 subjects per group. The sample variances in the three groups were 14, 16, and 18. Using Tukey's test to compare the means, what would be the two-tailed probability for a comparison of the first mean (14) with the last mean (18)?