Your goal is to estimate a population proportion with a sample size \( n = 700 \) and the sample proportion of \( p = 0.0315 \).- \( \text{A.} \) a one-sample z-interval procedure for a population proportion should be used- \( \text{B.} \) a one-sample z-interval procedure for a population mean should be used- \( \text{C.} \) the required assumptions are not satisfied so none of the above procedures should be used\( \textbf{B.} \, \) is selected.Your goal is to estimate a population proportion with a sample size \( n = 400 \) and the sample proportion of \( p = 0.0033 \).- \( \text{A.} \) the required assumptions are not satisfied so none of the above procedures should be used- \( \text{B.} \) a one-sample z-interval procedure for a population mean should be used- \( \text{C.} \) a one-sample z-interval procedure for a population proportion should be used\( \textbf{C.} \, \) is selected.

We have given that A) n=700 , p=0.0315 B) n=400 , p=0.0033

Answered: Your goal is to estimate a population…

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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Data from a representative sample were used to estimate that 33% of all computer users in a recent year had tried to get on a Wi-Fi network that was not their own in order to save money. You decide to conduct a survey to estimate this proportion for the current year. What is the required sample size if you want to estimate this proportion with a margin of error of 0.04? Calculate the required sample size first using 0.33 as a preliminary estimate of p. (Round your answer up to the nearest integer.) The sample size of _____ should be used for this study because it will guarantee a margin of error of no greater than 0.04. The other sample size computed will only guarantee a margin of error no greater than 0.04 if p < _____ or if p > ______ .
I didnt mean to select an option on the second portion but I need help solving this.
The quality control engineer should review lots of 200 items each. He decides that his study has a confidence of 95% and allow an error of 5%. Calculate the sample size to inspect a lot when you don't haveprevious information and then decrease the sample size with correction.
mean of the process is the estimate developed in part (a). Twenty-five samples of 100 items each were inspected when a process was considered to be operating satisfactorily. In the 25 samples, a total of 135 items were found to be defective. What is an estimate of the proportion defective when the process is in control? b. a. What is the standard error of the proportion if samples of size 100 will be used for statistical process control? Compute the upper and lower control limits for the control chart. C.
If you want to be 99% confident of estimating the population proportion to within a sampling error of ±0.05 and there is historical evidence that the population proportion is approximately 0.45, what sample size is needed?
Determine the minimum sample size required when you want to be 95% confident that the sample mean is within two units of the population mean and = 4.3. Assume the population is normally distributed. n =
In spite of the potential safety hazards, some people would like to have an Internet connection in their car. A preliminary survey of adult Americans has estimated this proportion to be somewhere around 0.30. Use the given preliminary estimate to determine the sample size required to estimate this proportion with a margin of error of 0.05.
If you want to construct a 90% confident interval for a population mean such that it is within a quarter (population) standard deviation from the sample mean, then what is the minimum sample size required?
The pulse rates of 162 randomly selected adult males vary from a low of 42 bpm to a high of 102 bpm. Find the minimum sample size required to estimate the mean pulse rate of adult males. Assume that we want 98% confidence that the sample mean is within 2 bpm of the population mean. Complete parts (a) through (c) below. a. Find the sample size using the range rule of thumb to estimate
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