ll T-Mobile LTE11:00 PM85%Done3 of 3a* W ww I FJ+i student.desmos.com/activitybuilderistudent/607e1715082640acbdte1176#screanldx=6Lpdate照Appsa CrCcurse Connec.Clara Destim so.O Empioyment Cemer lecin Sesslan Explration.b Selng Assotiae..Sigr inP view eril P..3 Nuraiig: Tiadtion..= Unit 4, Lesson 9: Variability in SamplesDrestiny OlseyouG of 12Next >Variability of Sample EstimatesThe margin of error we constructed here was constructed at a 95% confidence level. Since 95% of the time our sample proportion is within 2 standarddeviations of the true proportion for the population, by using a margin of error of 2 standard deviations we will capture thhe true proportion iı our interval 95%of the timeWhat would happen to the margin of error if we wereokay with only capturing the true proportion 90% of thetime?What would happen to the margin of error if nceded tocapture the true proportion 99% of the time?SubmitWhy might someone choose a different confidence level?4.Share with Clasa5671234ERTYQtabKFGASaps lockBNMHoptioncommandcontroloptioncommand!!8: )

We have to find margin of error for given data..

Unit 4, Lesson 9: Variability in Samples Next > Cestiny Olcegou Variability of Sample Estimates The margin of orror we constructed here was constructed at a 95% confidence level. Since 95% of the time our sarmple proportion is within 2 standard deviations of the truo proportion for the population, by using a margin of error of 2 standard deviations we will capture the true proportion in our interval 95E of the time. What would happen to the margin of error if we woro okay with only capturing the true proportion 90% of the time? What would happen to the margin of error if ncoded to capture the trua proportion 99% of the time?

Unit 4, Lesson 9: Variability in Samples Next > Cestiny Olcegou Variability of Sample Estimates The margin of orror we constructed here was constructed at a 95% confidence level. Since 95% of the time our sarmple proportion is within 2 standard deviations of the truo proportion for the population, by using a margin of error of 2 standard deviations we will capture the true proportion in our interval 95E of the time. What would happen to the margin of error if we woro okay with only capturing the true proportion 90% of the time? What would happen to the margin of error if ncoded to capture the trua proportion 99% of the time?

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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Plz don't give solution in image format Problem 3 Data from the Framingham Study allow us to compare the distributions of initial serum cholesterol levels for two populations of males: those who go on to develop coronary heart disease and those who do not. The mean serum cholesterol level of the population of men who do not develop heart disease is µ = 205mg/10ml and the standard deviation is σ = 36mg/100ml. Suppose, however, that you do not know the true population mean; instead, you hypothesize that µ is equal to 228mg/100ml. This is the mean initial serum cholesterol level of men who eventually develop the disease. Since it is believed that the mean serum cholesterol level for the men who do not develop heart disease cannot be higher than the mean level for men who do, a one-sided test conducted at the α = 0.05 level of significance is appropriate. a. What is the probability of making a type I error? b. If a sample of size 30 is selected from the population of men who do not go on…
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QUESTION 11 You hypothesize that drinking tea reduces stress levels so you design a study comparing stress levels between people who drink tea and people who do not drink tea. You collect data on 47 people and find that in your sample there are 21 people who do not drink tea a Ind 26 people who drink drink tea. The mean stress score for non-tea drinkers is 76 with a standard deviation of 25, while the mean score for those who drink tea is 62 with a standard deviation of 13. Above you have calculate the t-statistic and found the critical value of t. Based on this information, which of the follow statements is correct? O you accept the null hypothesis because your calculated t-statistic value is greater than the critical value of t O you reject the null hypothesis because your calculated t-statistic value is greater than the critical value of t O you accept the null hypothesis because your calculated t-statistic value is less than than the critical value of t O you accept the null…
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