Does it seem to you that people tend to be absent more on some days of the week than on others? Recently, a major biotechnology firm collected data withthe hope of determining whether or not its employees were more likely to be absent on some weekdays than on others. The firm examined a random sampleof 130 employee absences.The distribution of these 130 absences is shown in the table below. The observed frequency for each category (each weekday) is shown in the first row ofnumbers. The second row of numbers contains the frequencies expected for a sample of 130 employees if employee absences at the firm are equally likely oneach of the five weekdays. The bottom row of numbers contains the following value for each of the categories.(fo-fE)²ƒE(Observed frequency - Expected frequency)²Expected frequency ObservedfrequencyfoExpectedfrequencyƒE2(ƒo¯ƒE)²JEMonday Tuesday Wednesday Thursday Friday Total38265.5381926.001.8852426.000.1541926.001.88530260.615130

From the given table, we have to calculate Test statistic and critical value and we have to tell…

Answered: Does it seem to you that people tend to…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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How was the following relative frequency answers on the bottom left corner found from the data table on the upper right corner?
Jocelyn believes that the amount of sleep she tends to get on weekends differs from the amount of sleep she tends to get during the school week. To investigate this claim, she randomly selects 10 weekend days and 10 school days. She consults her smart watch to determine the number of hours she slept for each of the selected days. Here are the data. School week: 7, 7.5, 8, 6.5, 8, 7.5, 7, 6.5, 7, 8Weekend: 9.5, 9.5, 8.25, 8.5, 7.5, 10.25, 8, 7, 9.5, 10 Jocelyn would like to determine if these data provide convincing evidence that the true mean amount of sleep she gets on the weekend differs from the true mean amount of sleep she gets during the school week. She tests H0: μS – μW = 0, Ha: μS – μW ≠ 0, where μW = the true mean amount of sleep Jocelyn gets on the weekend and μS = the true mean amount of sleep she gets during the school week. The conditions for inference are met. What are the values of the test statistic and P-value for a t-test about a difference in means? Find the…
Your statistics instructor often ponders the relationship between commute time and job satisfaction while driving back and forth to campus. Your instructor hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 Valley commuters, the instructor finds the following data listed in frequencies: Table 2: Commuters by Length of Commute and Job Satisfaction Job Satisfaction Number Who Commute 20 Minutes or Less Number Who Commute 21 to 40 Minutes Number Who Commute 41 Minutes or More Total Number for Each Level of Job Satisfaction Dissatisfied 10 60 140 210 Neutral 45 59 51 155 Satisfied 145 60 30 235 Total Number for Each Commute Time Range 200 179 221 1. Change frequencies to column percentages.
Over the first five years of owning her car, Gina drove about 12,700 miles the first year, 15,478 miles the second year, 12,675 the third year, 11,850 the fourth year, and 13,075 the fifth year. a. Find the mean, median, and mode of this data. b. Explain which measure of central tendency will best predict how many miles Gina will drive in the sixth year. a. mean= 12,700; median= 13,156; no mode; the mean is the best choice because it is representative of the entire data set. b. mean= 13,156; median= 12,700; mode= 3,628; the median is the best choice because it is not skewed by the high outlier. c. mean= 13,156; median= 12,700; no mode; the mean is the best choice because it is representative of the entire data set. d. mean= 13,156; median= 12,700; no mode; the median is the best choice because it is not skewed by the high outlier.
An Internet retailer would like to investigate the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The table to the right shows the data from a random sample of
Suppose you wanted to create an index for rating the quality of colleges and universities. What are three data items that might be included in such an index?
A study of several cities shows a positive correlation between the percent of people late to work and the amount of pollution on the roadways. Which statement is most likely true?
A marketing firm is doing research for an Internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per month on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 1818-2424 years and 2525-3030 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on Internet purchases by people in the 1818-2424 age bracket and Population 2 be the amount of money spent per month on Internet purchases by people in the 2525-3030 age bracket. Assume that the population variances are not the same. Internet Spending per Month 1818-2424 Years 2525-3030 Years Mean Amount Spent 62.4962.49 62.8462.84 Standard Deviation 20.0420.04 15.6415.64 Sample Size 1616 2828 Step 1 of 2 : Construct a 95%95% confidence interval for the true difference…
The results of a recent study show that the proportion of people in the western United States who use seat belts when riding in a car or truckis under 84%. You want to support this claim.
Texting while driving has become a national focus now that cell phones are ubiquitous and texting while driving results in ever-increasing injuries and deaths. According to 2013 study, 44.5% of US Teenage drivers text while driving. You want to see how Gainesville teenage drivers compare to national teens. You randomly select 300 local high school students (ages 16-19) and ask if they have texted while driving within the past 30 days. The data is recorded in the table. Yes No 142 158 Find a 95% confidence interval for the percentage of teenage drivers who text while driving. Then explain what the confidence interval means in this context.

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