If a manufacturer conducted a survey among randomly selected target market households and wanted to be 95% confident that the difference between the sampleestimate and the actual market share for its new product was no more than 5%, what sample size would be needed?ssitA sample size of is needed.has(Round up to the nearest whole number.)amuEnter your answer in the answer box and then click Check Answer.All parts showingClear AllCheck AnswerType here to searchacerF3F4F5F6F7F8F9F10F11Co)NumLk

If a manufacturer conducted a survey among randomly selected target market households and wanted to be 95% confident that the difference between the sample estimate and the actual market share for its new product was no more than 5%, what sample size would be needed? is needed. A sample size of (Round up to the nearest whole number.)

If a manufacturer conducted a survey among randomly selected target market households and wanted to be 95% confident that the difference between the sample estimate and the actual market share for its new product was no more than 5%, what sample size would be needed? is needed. A sample size of (Round up to the nearest whole number.)

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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Consider these sample data: x1=15, x2=9, x3=3, x4=22. a. Find n. b. Compute ∑xi. c.Determine x. a.n=
Maryland, as the four U.S. cities with the highest percentage of millionaires (Kiplinger website). Consider a sample of data that show the following number of millionaires for samples of individuals from each of the four cities. Millionaire Cannot conclude Bridgeport, CT CA San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? 0.436 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? City Washington, D.C. 35 365 Bridgeport, San Jose, Washington, Lexington Park, CT D.C. MD Lexington Park, 46 27.4 Percentage, % 36.5 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the x² test statistic (to 3 decimals). 36.5 MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.
You may need to use the appropriate appendix table or technology to answer this question. In the past, 19% of all homes with a stay-at-home parent, the father is the stay-at-home parent. An independent research firm has been charged with conducting a sample survey to obtain more current information. (a) What sample size is needed if the research firm's goal is to estimate the current proportion of homes with a stay-at-home parent in which the father is the stay-at-home parent with a margin of error of 0.03? Use a 95% confidence level. (Round your answer up to the nearest whole number.) (b) Repeat part (a) using a 99% confidence level. (Round your answer up to the nearest whole number.) Need Help? Read It option esc ! 1 T Q A Z 96 2 W S X 88 command Watch It O #3 E Master It a D C $ 4 R F ~ ♫ % 5 V T G m MA 6 MacBook Pro B Y H & 7 U N D W * 8 J P 1 T M ( K 1 & O **** ) O 1 H L cricut P V command T { x + 11 ? option } រ dele
In a recent survey of 157 WMU graduates, 117 students said that parking was too limited on campus. What is the estimate of the population proportion? What is the standard error of this estimate? Question 7 options: 1) Estimate of proportion: 0.745, Standard error: 0.0348. 2) Estimate of proportion: 0.255, Standard error: 0.0028. 3) Estimate of proportion: 0.745, Standard error: 0.0028. 4) The true population proportion is needed to calculate this. 5) Estimate of proportion: 0.255, Standard error: 0.0348.
18. The governor of New York has banned selling or purchasing "large" soft drinks, where a "large" is defined as being more than 16 oz. Sonic, famous for its Route 44 drinks is interested in estimating the proportion of New Yorkers that favor this ban. From a random survey of 800 New Yorkers, 375 answered no to the question, “Do you favor the governor's ban on 'large' soft drinks?" a. Find a 97.5% confidence interval for the proportion of New Yorkers who favor the ban on "large" soft drinks. b. Interpret the confidence interval. c. Can you conclude with 97.5% confidence that a majority of New Yorkers favor the ban on "large" soft drinks? Why or why not. d. Without doing any other calculations, can you be 99% confident that a majority of New Yorkers favor the ban on “large" soft drinks?
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During the month of January 2017, a total of 29,404 flights took off from a particular airport. Of all these flights, 23.9 % had a departure delay of more than 10 minutes. Suppose we randomly sample just 100 of these flights. Complete parts a through d. a. What sample proportion should we expect to see in such a sample, and how much should we expect the proportion to vary from sample to sample in samples of size 100? The mean is (Round to three decimal places as needed.)