A labor union is getting critical about gross absenteeism by its members. The union leaders had always claimed that, in a typical month, 95% of itsmembers were absent less than 10 hours. The union decided to check this by monitoring a random sample of 300 of its members. The number of hours absent wasrecorded for each of the 300 members. The results were X = 6.5 hours and s = 2.5 hours. Use the data to respond to this claim, using a one-sided tolerance limitand choosing the confidence level to be 99%. Provide an interpretation of what you have calculated.One-sided limit:Place your comments/interpretations in your solution file/s.

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Answered: A labor union is getting critical about…

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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People tend to evaluate the quality of their lives to others around them. In a demonstration of this phenomenon, Frieswijk, Buunk, Steverink, and Slaets (2004) conducted interviews with frail elderly people. In the interview, each person was compared with fictitious others who were worse off. After the interviews, the elderly people reported more satisfaction with their own lives. Following are hypothetical data similar to those obtained in the research study. The scores are measures of a life-satisfaction scale for a sample of n=9 elderly people who completed the interview. Assume that the average score on this scale is p=20. What is your computed t? Use a one-tailed test with a=0.05. The life satisfaction scores are 18, 23, 24, 22, 19, 27, 23, 26, 25. Note: S2=SS (sum of squares)÷df (degrees of freedom) Answer:
A study is conducted to determine the effect of walnuts on concentration. Subjects were given 1 tablespoon of walnuts and asked to perform a memory test. Scores for the test were recorded in Excel. What is tool in this scenario?
2. In the mid-19th century, Sir Francis Galton demonstrated, through extensive data collection, that many human characteristics such as height and IQ are distributed throughout the entire population in accordance with the normal distribution. Galton recorded the heights of 8585 men in Great Britain. This forms a normal distribution with mean u = 67 inches and standard deviation o = 2.5inches.
Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.
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Roy's Texaco wants to keep the price of its unleaded gasoline competitive with that of other stations in the area. Roy's is currently charging $1.29 per gallon. To check that the average price for this gasoline for all stations within 12-mile radius is higher than his price, Roy randomly samples the price of unleaded gasoline at ten stations located in this area. He obtains the following data for the price per gallon (in dollars): 1.7, 1.5, 2.6, 2.2, 2.4, 2.3, 2.6, 3.0, 1.4, 2.3 Set up appropriate hypotheses and test them using a significant level of .01.
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People tend to evaluate the quality of their lives to others around them. In a demonstration of this phenomenon, Frieswijk, Buunk, Steverink, and Slaets (2004) conducted interviews with frail elderly people. In the interview, each person was compared with fictitious others who were worse off. After the interviews, the elderly people reported more satisfaction with their own lives. Following are hypothetical data similar to those obtained in the research study. The scores are measures of a life-satisfaction scale for a sample of n=9 elderly people who completed the interview. Assume that the average score on this scale is u=20. What is your computed t? Use a one-tailed test with a=0.05. The life satisfaction scores are 18, 23, 24, 22, 19, 27, 23, 26, 25. Note: S2-sS (sum of squares)÷df (degrees of freedom) Answer:
A Verizon researcher compared the number of text messages sent by a sample of teenage boys to the population mean for all Verizon users. She found no evidence to conclude that there was a difference. Unfortunately, her conclusion was in error. (a) What type of error did she make? (b) What conclusion should she have reached?

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