According to WHO, adolescents should spend at least an hour per day of moderate-to-vigorous intensityphysical activity and should limit the time spent being sedentary.Based on this recommendation, a researcher wanted to estimate the mean sedentary time (sitting whilewatching TV, in a car, or while playing gadgets) of adolescents at 95% confidence level. In the study, a randomsample of 25 adolescents spent an average of 8.76 hours per day being sedentary.Suppose that sedentary times are normally distributed with a standard deviation of 1.75 hour per day.✔●The 95% confidence interval for the mean sedentary time (hours per day) of adolescents is[ Select]Complete the statement:If we consider all possible samples of the same size and a 95% confidence interval is obtained from each sample,then [Select]For a second study, what sample size (minimum) would you recommend so that the estimated meansedentary time is within 0.5 hour at 95% confidence level? [Select] According to WHO, adolescents should spend at least an hour per day of moderate-to-vigorous intensityphysical activity and should limit the time spent being sedentary.Based on this recommendation, a researcher wanted to estimate the mean sedentary time (sitting whilewatching TV, in a car, or while playing gadgets) of adolescents at 95% confidence level. In the study, a randomsample of 25 adolescents spent an average of 8.76 hours per day being sedentary.Suppose that sedentary times are normally distributed with a standard deviation of 1.75 hour per day.●●The 95% confidence interval for the mean sedentary time (hours per day) of adolescents is[Select]Complete the statement:If we consider all possible samples of the same size and a 95% confidence interval is obtained from each sample,then[Select][Select]Neither A nor BBoth A and B. For aA. 95% of these intervals would contain the true mean sedentary time of adolescents estimated meanB. 95% of all adolescents would have sedentary times within the interval estimatesedentary time is within 0.5 hour at 95% confidence level? [Select]

Given:- n=25, x¯=8.76, σ=1.75 To calculate 95% confidence interval of a normally distributed…

Answered: On this recommendation, a researcher…

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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An energy study found that household use of electricity had a mean of 682 and a standard deviation of 551 kilowatt-hours. Suppose the distribution of energy use was normal. Using a table, calculator, or software that can give normal probabilities, find the proportion of households with electricity use greater than 1000 kilowatt-hours.
You may need to use the appropriate technology to answer this question. Data were collected on the top 1,000 financial advisers. Company A had 239 people on the list and another company, Company B, had 121 people on the list. A sample of 16 of the advisers from Company A and 10 of the advisers from Company B showed that the advisers managed many very large accounts with a large variance in the total amount of funds managed. The standard deviation of the amount managed by advisers from Company A was s₁ = $583 million. The standard deviation of the amount managed by advisers from Company B was s₂ = $484 million. Conduct a hypothesis test at a = 0.10 to determine if there is a significant difference in the population variances for the amounts managed by the two companies. What is your conclusion about the variability in the amount of funds managed by advisers from the two firms? State the null and alternative hypotheses. 2 2 H₂:0 2 Find the value of the test statistic. (Round your answer…
A study was conducted to investigate the effect of a new drug on blood pressure. A sample of 25 patients was randomly selected and their blood pressure was measured both before and after taking the drug. The sample mean blood pressure before taking the drug was 120 mmHg and the sample mean blood pressure after taking the drug was 118 mmHg. The sample standard deviation for the blood pressure before taking the drug was 4 mmHg and the sample standard deviation for the blood pressure after taking the drug was 5 mmHg. Test the hypothesis that the average blood pressure after taking the drug is lower than the average blood pressure before taking the drug using a 0.01 level of significance.
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A prominent medical group claims that the population mean of the surgery durations for all brain tumor patients is 3.69 hours. You are a data analyst for a health insurance company and want to test that claim. To do so, you select a random sample of 32 brain tumor surgery patients, and you record the surgery duration for each. Assume it is known that the population standard deviation of the durations of all brain tumor surgeries is 1.68 hours. Based on your sample, follow the steps below to construct a 99% confidence interval for the population mean of the surgery durations for all brain tumor patients. Then state whether the confidence interval you construct contradicts the medical group's claim. (If necessary, consult a list of formulas.) (a) Click on "Take Sample" to see the results from your random sample of 32 brain tumor patients. (b) (c) Take Sample Sample size: Point estimate: Population standard deviation: Critical value: Compute 0.00 0.00 Number of patients Enter the values…
Suppose that El Camino is studying the average number of hours students study for classes per week. According to research from 2010 El Camino students spent an average of 21 hours a week studying for classes. El Camino wants to study if this average has changed. To do this they take a random sample of 81 current students and find that the average student spent 19.3 hours studying with a standard deviation of 6.4 hours. (Note: You may assume there are approximately 20,000 El Camino students). (a) Carry out a hypothesis test at α = .05 to test the claim that the average number of hours per week that El Camino students study has changed since 2010. (b) Describe what it would mean in this situation to make a Type I error (c) Describe what it would mean in this situation to make a Type II error (d) Construct a 95% confidence interval for the average number of hours studied by El Camino students per week. Make sure to interpret your interval.
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The producer of a weight-loss pill advertises that people who use the pill lose, after one week, an average (mean) of 1.8 pounds with a standard deviation of 0.95 pounds. In a recent study, a group of 45 people who used this pill were interviewed. The study revealed that these people lost a mean of 1.92 pounds after one week. If the producer's claim is correct, what is the probability that the mean weight loss after one week on this pill for a random sample of 45 individuals will be 1.92 pounds or less? Carry your intermediate computations to at least four decimal places. Round your answer to at least three decimal places.
QUESTION 4 Sara wants to determine the mean play time of media clips on her smartphone. A random sample of 36 media clips revealed a mean of 155 minutes and a standard deviation of 16 minutes. Find the upper confidence limit (UCL) of the 93% confidence interval estimate for the mean play time of media clips on Sara's smartphone. Round your answer to two decimal places.

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