John wants to open a learning center for high school students in his community. John wants to compare the average time areahigh school students spend studying per week with the regional average, 18.9 hours.John surveys 20 randomly selected local high school students, asking how much time they spend studying in a typical week.Graphs of his sample data show no strong skewness or outliers.Choose the correct inference procedure that John should use to test if the mean weekly study time from his sample differsfrom 18.9 hours.one-sample, two-sided z-test for a proportionone-sample, left-tailed t-test for a meanone-sample, right-tailed t-test for a meanone-sample, two-sided t-test for a mean

Here, mean 18.9 of regional area, which is population mean, and we take sample from high school…

Answered: John wants to open a learning center…

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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Similar questions

There are eight patients waiting in a doctor's waiting room. They have been waiting for 9 minutes, 2 minutes, 5 minutes, 4 minutes, 12 minutes, 7 minutes, 8 minutes, and 11 minutes. Calculate the sample variance for the patients' wait times (in minutes squared). Round to the nearest hundredth as needed.
A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 57 people she sampled who work out in the morning have a mean of 4.8 hours of exercise each week. The 56 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.3 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2 : Construct a 95% confidence interval for the true difference between the mean amounts…
The investment firm Brown & Johnson reported that 52.7% of 300 randomly selected American households owned stocks. Does this result provide sufficient sample evidence to indicate that a majority of households in America own stocks? Use a=0.05 Please no excel. I want to know how to do the work.
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A pollster wants to know the average income of those who supported John McCain for president. He asks 100 supporters and calculates a mean of $67,543. Is this mean x overbar or mu ? A. mu , because it is calculated based off data from the entire population.. B. x overbar , because it is calculated based off data from the entire population. C. mu , because it is calculated based off data from a sample. D. x overbar , because it is calculated based off data from a sample.
Three students want to estimate the mean pencil weight of their schoolmates.To do this, they each randomly chose 5 schoolmates and weighed their pencils. The samples are shown in the table.
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A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 56 people she sampled who work out in the morning have a mean of 4.4 hours of exercise each week. The 63 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.7 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2: Construct a 99% confidence interval for the true difference between the mean amounts of…
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