Suppose data collected by observers at randomly selected intersections across the country revealed that in a sample of 50 drivers, 32 were using their cell phone.a. Give a point estimate of x, the true driver cell phone use rate (that is, the true proportion- or population porportion- of drivers who are using their cell phone while driving)b. Compute a 90% confidence interval for R.c. Give a practical interpretation of the interval, part b.a. A point estimate for a isb. The 90% confidence interval for the population proportion is (..(Round to two decimal places as needed.)c. Interpret this interval.O A. We are confident that 90% of the population use a cell phone while driving.O B. We are 90% confident that the population proportion of drivers using cell phones is inside this interval.O C. There is a 90% percent chance that the population proportion of drivers who use cell phones is outside this interval.O D. We are confident that 90% of the population do not use a cell phone while driving.

Answered: Image /qna-images/answer/7101f60b-4225-4934-913e-b9c4d5d12c0c.jpg

Answered: Suppose data collected by observers at…

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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A study was done of 6 patients admitted to a hospital. Their ages (x) and systolic blood pressure (y) was recorded. Systolic blood pressure (y) Age (x) 43 123 48 125 56 135 61 143 67 145 70 152 Determine the equation of the regression equation, reporting each to 3 decimal places. A. Slope is B. Y intercept is C. Compute the residual for x = 43, using the rounded slope and y intercept. Report answer to 3 decimal places.
A researcher surveyed college students in the United States on the typical amount of time each day that they spend interacting with different types of media (television, social media, Internet-connected devices, game consoles, etc.) The researcher found that the mean amount of time that college students spent watching television each day is 135 minutes with a 95% confidence interval of (105, 165). a. State the conclusion the researcher can make from this confidence interval. b. What is the margin of error for the confidence interval?
11. Describe the effect that an increase in each of the following has on the width of a confidence interval: eh) a. The level of confidence (while holding the sample size and standard deviation constant). b. The sample size (while holding the confidence level and standard deviation constant). c. The standard deviation (while holding the sample size and confidence level constant).
In a survey funded by the UW school of medicine, 750 of 1000 adult Seattle residents said they did not believe they could come down with a sexually transmitted infection (STI). Construct a 95% confidence interval estimage of the proportion of adult Seattle residents who don't believe they can contract an STI. (Use a z score of 1.96 for your computations.) (.728, .772) (.723, .777) (.718, .782) (.713, .878) (.665, .835)
A research center survey of 2,484 adults found that 1,942 had bought something online. Of these online shoppers, 1,295 are weekly online shoppers. Complete parts (a) through (c) below. a. Construct a 95% confidence interval estimate of the population proportion of adults who had bought something online. Sas (Round to four decimal places as needed.) led b. Construct a 95% confidence interval estimate of the population proportion of online shoppers who are weekly online shoppers. Sas (Round to four decimal places as needed.) c. How would the director of e-commerce sales for a company use the results of (a) and (b)? O A. Since a greater proportion of adults have purchased something online than are weekly online shoppers, the director of e-commerce sales may want to focus on those adults who have purchased something online. led O B. The information cannot be compared because it is derived from two different opinions. O C. Agreater proportion of adults have purchased something online, but…
2. In a simple random sample of 1200 Americans age 20 and over, 138 of them were found to have Type I diabetes. Round all answers to three decimal places. a) Report a 95% confidence interval for the proportion of all Americans age 20 and over with diabetes. J b) According to the Centers for Disease Control and Prevention, nationally, 10.7% of all Americans age 20 and over have diabetes. Does the confidence interval you found support or refute this claim? Explain.
1. Conduct a hypothesis test to see if there is a significant difference in the proportion of A and B residents who placed an Uber Eats order in the past three weeks based on the statistics below.Order data: 18 of 75 A Residents 23 of 85 B Residents 2. Construct a 95% confidence interval for true difference in the proportion of A and B residents who ordered food delivered from Uber Eats last week. Show formula with values plugged in and explain interval in context.
The birth weights of a sample of newborns were recorded for a group born to mothers who did not get regular prenatal care (Group 1) and for a group born to mothers who did (Group 2). A 93% confidence interval for 41 – 2 was computed as follows: (-2.12 pounds, -0.89 pounds) Interpret the endpoints of this interval in the context of this problem. Do not use the word "difference" in your answer.
In a survey of 3,541 adults concerning complaints about restaurants, 1,494 complained about dirty or ill-equipped bathrooms and 1,209 complained about loud or distracting diners at other tables. Complete parts (a) through (c) below. a. Construct a 90% confidence interval estimate of the population proportion of adults who complained about dirty or ill-equipped bathrooms. (Round to four decimal places as needed.)

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