A study by Allstate Insurance Co. finds that 82% of teenagers have used cell phones while driving (The Wall Street Journal, May 5,2010). Suppose a random sample of 100 teen drivers is taken.a-1. Calculate the standard error for the sampling distribution of the sample proportion. (Do not round intermediate calculations.Round your answer to 4 decimal places.)Standard errora-2. Is the sampling distribution of the sample proportion approximately normal?YesO Nob. What is the probability that the sample proportion is less than 0.80? (Round final answer to 4 decimal places.) b. What is the probability that the sample proportion is less than 0.80? (Round final answer to 4 decimal places.)Probability:c. What is the probability that the sample proportion is within ± 0.02 of the population proportion? (Round final answer to 4 decimalplaces.)Probability:

Let p be the population proportion of teenagers who used cell phones while driving. Given that, p =…

Answered: a-1. Calculate the standard error for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You want to obtain a sample to estimate a population proportion. At this point in time, you have no reasonable preliminary estimation for the population proportion. You would like to be 90% confident that you estimate is within 4% of the true population proportion. How large of a sample size is required? Do not round mid-calculation.n =
T or F. Explain answers. a. The elementary units are also the sample units in Random Sampling (Simple). b. Z-score in statistics is a measure of location.
1. In a sentence or two, explain what a sampling distribution is. 2. In a sentence or two explain how the standard error of the mean is similar to the standard deviation.
Complete parts (a) through (e) for the population data below. 2, 4, 6 d. For each of the possible sample sizes, find the probability that the sample mean will equal the population mean. n Probability 1 1 3 2 3 3 1 (Type integers or simplified fractions.) e. For each of the possible sample sizes, find the probability that the sampling error made in estimating the population mean by the sample mean will be 0.5 or less (in magnitude), that is, that the absolute value of the difference between the sample mean and the population mean is at most 0.5. n 1 2 3 Probability (Type integers or simplified fractions.)
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 95% confident that the sample percentage is within 5.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n = (Round up to the nearest integer.) b. Assume that a prior survey suggests that about 34% of air passengers prefer an aisle seat. n = IDound un to the nearest integer)
You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately 81%. You would like to be 99% confident that your estimate is within 5% of the true population proportion. How large of a sample size is required? Do not round mid- calculation. n =
You are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 90% confident that the sample percentage is within 1.5 percentage points of the true population percentage. Complete parts (a) and (b) below. a. Assume that nothing is known about the percentage of passengers who prefer aisle seats. n= (Round up to the nearest integer.) nter corr
Describe the sampling distribution of p. Assume the size of the population is 15,000. n= 400, p = 0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Approximately normal because ns0.05N and np(1- p) < 10. O B. Not normal because ns0.05N and np(1-p) 2 10. O C. Approximately normal because ns0.05N and np(1- p) 10. O D. Not normal because n<0.05N and np(1-p)< 10. Determine the mean of the sampling distribution of p. (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. OA = (Round to three decimal places as needed.)
The sampling distribution of the mean depends on the sample size. O False O true
der Describe the shape of the distribution. OA. The distribution is uniform. O B. The distribution is skewed to the right. OC. The distribution is skewed to the left. OD. The distribution is bell shaped.
Use the random numbers. Thank you.
Options: 10 97 68 385

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