Do the percentage of positive Covid cases resulting in serious symptoms differ between sexes? nm = 700 random males who had just testedpositive for Covid were selected. Of these, xm = 226 wound up having serious symptoms. nf =600 random females who had just tested positivefor Covid were selected. Of these, xf = 150 wound up having serious symptoms. Suppose Pm is the true proportion of males testing positive forCovid who wind up having serious symptoms. Suppose pf is the true proportion females testing positive for Covid who wind up having serioussymptoms. Pm and pf are unknown and we will examine relations between them based upon these samples. Let pmhat be the sampleproportion of selected males who wind up having serious symptoms. Let pfhat be the sample proportion of selected females who wind up havingserious symptoms. f) Calculate an unbiased point estimate of Pfg) Calculate an unbiased point estimate of Pm - Pfh)Based on this data, calculate a 94% classical confidence interval for Pm-Pf.i. How long is the 94% classical confidence interval for Pm - Pf calculated above?

Given The data is as follows: nm=700xm=226nf=600xf=150

Answered: f) Calculate an unbiased point estimate…

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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The campus paper reported that the average hours of sleep for students at a neighboring university is 6.5 hours. This has made you curious about the amount of sleep students at your university get. You randomly selected four students on your campus and their amounts of sleep are 5, 3, 6 and 2 and has a sample mean of 4.0 hours. What is the 95% confidence interval for μ? I ended up with an answer of 95% CI [-1,5] Is this correct? do I need to do a hypothesis t-test? It's only asking for the CI so that's what I did.
The proportion of the first 25 subscribers of a limited media-streaming services with daily streaming times exceeding 3 hours is recorded for 75 independent replications of a simulation model, each consisting of a month and with identical initial conditions. The recorded proportions have sample mean 0.27. Construct a 90% confidence interval for this proportion. (Zo.1 = 1.28, Zo.05 = 1.64, Zo.025 = 1.96) half-width of the interval: central value: lower bound:
Use Table B to find the critical value t* that should be used in constructing a 98% confidence interval based on a simple random sample of size n = 29 for the population mean. Assume the conditions are met. options t* = 2.467 t* = 2.326 t* = 2.462 None of these is correct.
In exercise 7, the data on y = annual sales ($1000s) for new customer accounts andx = number of years of experience for a sample of 10 salespersons provided the estimatedregression equation yˆ = 80 + 4x. For these data x = 7, o(xi − x)2 = 142, and s = 4.6098.a. Develop a 95% confidence interval for the mean annual sales for all salespersons withnine years of experience.b. The company is considering hiring Tom Smart, a salesperson with nine years of experience.Develop a 95% prediction interval of annual sales for Tom Smart.c. Discuss the differences in your answers to parts (a) and (b).
A nutritionist took a random sample of 60 college students at Harvard and made a 95% confidence interval for the average calories consumed in a day. The interval that the researcher obtained was 2350 to 2620. A) about 95% of the population of students at Harvard is between 2350 and 2620, true or false? B) if the nutritionist had taken a sample of 100 college students. Would the 95% confidence interval with n= 100 be wider or narrower than the 95% confidence interval with n= 60 students?
A simple random sample of size n=40 is drawn from a population. The sample mean is found to be x=121.3 and the sample standard deviation is found to be x=12.3. Construct a 99% confidence interval for the population mean.
A researcher has 56 pairs of participants who each experience two different experimental conditions. The mean for the first condition was is 34.27 and the mean for the second condition is 33.67. Assuming that tcv(N = 55, α = .05) = 2.004 and sMD = .65, what is the value of the 95% confidence interval?
When joint confidence intervals for β0 and β1 are developed by the Bonferroni method with a family confidence coefficient of 90 percent, does this imply that 10 percent of the time the confidence interval for β0 will beincorrect? That 5 percent of the time the confidence interval for β0 will beincorrect and 5 percent of the time that for β1 will be incorrect? Discus.
Assuming all the assumptions of CLRM are fulfilled, obtain a. b₁ and b₂. b. standard errors of these estimators. C. 12. d. Establish 95% confidence intervals for B1 and B2. e. On the basis of the confidence intervals established in (d), can you accept = the hypothesis that B₂ 0?
Suppose that the average time spent per day with digital media several years ago was 3 hours and 42 minutes. For last year, a random sample of 20 adults in a certain region spent the numbers of hours per day with digital media given in the accompanying table. Preliminary data analyses indicate that the t-interval procedure can reasonably be applied. Find and interpret a 95% confidence interval for last year's mean time spent per day with digital media by adults of the region. (Note: x=5.49 hr and s=2.20 hr.)
A pharmaceutical company claims that its new drug reduces systolic blood pressure. The systolic blood pressure (in millimeters of mercury) for nine patients before taking the new drug and 22 hours after taking the drug are shown in the table below. Using this data, find the 99%99% confidence interval for the true difference in blood pressure for each patient after taking the new drug. Assume that the blood pressures are normally distributed for the population of patients both before and after taking the new drug. Patient 1 2 3 4 5 6 7 8 9 Blood pressure (before) 189189 185185 180180 202202 171171 176176 158158 164164 199199 Blood pressure (after) 178178 176176 168168 196196 153153 156156 147147 144144 188188 Copy Data Step 1 of 4 : Find the point estimate for the population mean of the paired differences. Let x1x1 be the blood pressure before taking the new drug and x2x2 be the blood pressure after taking the new drug and use the formula d=x2−x1d=x2−x1 to calculate the…
A researcher constructs a confidence interval using the value z*=1.44. What confidence level does their interval have

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f) Calculate an unbiased point estimate of Pf g) Calculate an unbiased point estimate of Pm - Pf h) Based on this data, calculate a 94% classical confidence interval for Pm-Pf- i. How long is the 94% classical confidence interval for Pm-Pf calculated above?