e A Pew Research study conducted in 2017 found that opproximately 76% of Americans believe that robots and compuiters might one day do many of the jobs currentiy done bypeople (Pew Research website, http://www.pewinternet.org/2017/10/04/americans-attitudes toward-a-future-in-which-robots-and-computers-can-do-many-human-job/).Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to beautomated.ТахFast-FoodNurseAuditorWorker4.a. Use a-0.00 to test for differences in the belef that a person's job is likely to be automated for the three professions.(to 2 decimals)The prvalue isgreater than 0.10What is your concusion?We sannet rejectthe null hypothesis that the mean scores are the same for the three professions.b. Use fisher's LSD procedure to compare the belef that a person's job will be automated for nurses and tax auditors.LSD(to 2 decimais)What is your conclusion?We cannot rejectthe null hypothesis that the two population means are equal.

Using Excel, Data>Data Analysis> Anova: Single Factor Then new window is opened as given…

A Pew Research study conducted in 2017 found that opproximately 75% of Americans believe that robots and computers might one day do many of the jobs currentiy done by people (Pew Research website, http://www.pewinternet.org/2017/10/04/americans-attitudes-toward-a-future-in-which-robots-and-computers-can-do-many-human-jobs/). Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated. Tax Fast-Food Nurse Auditor Worker 4. 4 a. Use a-0.05 to test for differences in the bellef that a person's job is likely to be automated for the three professions. F (to 2 decimals) The prvalue isgreater than 0.10 What is your concusion? We cannet reject the null hypothesis that the mean scores are the same for the three professions b. Use fisher's LS0 procedure to compare the belef that a person's job will be automated for nurses and tax auditors. LSD (to 2 decimais) What is your conclusion? We cannat reject the null hypothesis that the two population means are equal.

A Pew Research study conducted in 2017 found that opproximately 75% of Americans believe that robots and computers might one day do many of the jobs currentiy done by people (Pew Research website, http://www.pewinternet.org/2017/10/04/americans-attitudes-toward-a-future-in-which-robots-and-computers-can-do-many-human-jobs/). Suppose we have the following data collected from nurses, tax auditors, and fast-food workers in which a higher score means the person feels his or her job is more likely to be automated. Tax Fast-Food Nurse Auditor Worker 4. 4 a. Use a-0.05 to test for differences in the bellef that a person's job is likely to be automated for the three professions. F (to 2 decimals) The prvalue isgreater than 0.10 What is your concusion? We cannet reject the null hypothesis that the mean scores are the same for the three professions b. Use fisher's LS0 procedure to compare the belef that a person's job will be automated for nurses and tax auditors. LSD (to 2 decimais) What is your conclusion? We cannat reject the null hypothesis that the two population means are equal.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The Bureau of Labor Statistics reports on a variety of employment statistics. "College Enrollment and Work Activity of 2004 High School Graduates" provides information on high school graduates by gender, by race, and by labor force participation as of October 2004.³ (All numbers are in thousands.) The following two tables provide information on the “Labor force status of persons 16 to 24 years old by educational attainment and gender, October 2004." Using the information contained in the tables, do Exercises 4.58 through 4.62. OS LabForce Women, Age 16 to 24 < High School HS degree Some college Civilian Labor Force Employed Unemployed 662 2,050 1,352 Bachelors degree or more 921 Column Total 4,985 For Males: P{CLF | HSD} P{CLF | BD} 205 334 126 Click here for the Excel Data File 55 720 For Females: P{EMPI (CLF and HSD)} P{EMP | (CLF and BDM)} P{CLF | HSD} P{CLF | BD} Not in Labor Force 759 881 321 105 2,066 P{EMPI (CLF and HSD)} P{EMPI (CLF and BDM)} Row Total 1,626 3,265 1,799…
You're a healthcare analytics professional working for Pawhuska, Oklahoma's fourth-largest hospital. You're examining the amount of waiting time that patients classified as ES5 (those with ailments that are not life-threatening) spend in the emergency room. You'll make some changes to emergency room procedures if you find that the mean ES5 waiting time is longer than 18 minutes, the industry standard. Based on a sample of 22 ES5 patients, you found an average and standard deviation of waiting times to be 19.2 minutes and 2.4 minutes, respectively. Draw basic conclusions with the CRITICAL VALUE APPROACH with 99% confidence. Р What is the probability that you conclude that no changes in the emergency room are needed when the actual waiting time for ES5 patients is 20 minutes?
If my hypothesis assumes that religious women are more satisfied with life than men, would gender be my dependent variable? Religion and satisfaction with life are both independent? Is that correct?
If observations are independent, that means that one observation has influenced another. True False
(True/False). These data show that 80% of companies worth $75K or more are tracking the online and cellphone activity of 47% percent of US adults. (True/False). These data show that in comparison to companies, the government is less likely to track online activity. (True/False). These data show that companies run by individuals ages 18 to 29 years old are the most likely to track online activity. (True/False). These data show that the government is very likely to track Black adults (60%) and Hispanic adults (56%) and less likely to track White adults (43%).
“The incidence of depression among college students is negatively correlated with the number of sunny days each year in the locale where they attend college.” This statement means that: a. a student attending college in a locale with very few sunny days will become depressed. b. if a depressed student were to move to a locale with more sunny days, the student's depression would subside. c. the chances of a college student being depressed tend to increase as the number of sunny days increases. d. the chances of a college student being depressed tend to increase as there are fewer sunny days.
Data from the Bureau of Labor Statistics indicates that in a certain month, 35.7% of the labor force had a high school diploma or fewer years of education, 29.4% had some college or an associate's degree, and 34.9% had a bachelor's degree or more education. Of those with a high school diploma or fewer years of education, 5.5% were unemployed. Of those with some college or an associate's degree, 4.4% were unemployed, and of those with a bachelor's degree or more education, 2.4% were unemployed. Find the probability that a randomly chosen labor force participant has some college or an associate's degree given that he or she is unemployed. 12 The probability is 0 (Type an integer or decimal rounded to three decimal places as needed.)
Mammography and clinical breast examination are the two major techniques used to screen for breast cancer. However, as true for any screening test, they are not completely accurate. If it is determined, based on mammographic findings, that there is a possibility of breast cancer, this is usually confirmed or disconfirmed by a subsequent biopsy. A false positive test is a mammogram positive test that is disconfirmed by biopsy. The data in Table 1 were reported in a paper concerning breast cancer screening (Elmore, et al, New England Journal of Medicine 1998; 338(16): 1089-1096). Table 1 False positive breast cancer screening tests over a 10-year period # Screening tests # False positive tests 9762 631 1. Suppose 10 women are given mammograms. What is the probability that at least 1 woman will have a false positive test?
In 2015, over 30,00030,000 Americans died from opioid overdoses, and the number of inpatient stays and emergency visits to hospitals related to opiods increased dramatically compared to previous years. The National Institutes of Health (NIH) have partnered with the Healthcare Cost and Utilization Project (HCUP) to gather data on opioid-related deaths and hospitalizations. These data include information about inpatient stays, emergency department visits, age, sex, income, and opiod-related use. For a given patient admitted to a hopsital for an opioid-related event, identify which of these events are disjoint.
Mood variation is related to photoperiod in some people, and the likelihood of depression increases in the winter months. As a result, people often assume that suicide rates increase in winter. A study in Finland (Valtonen et al. 2006) divided the year 1997 into equal halves and compared the number of suicides in “winter” (24 September to 19 March) and “summer” (remainder of year). Out of a total of 1636 suicides, 766 were in winter and 870 were in the summer. Based on these data, estimate the proportion of suicides that occurred in winter, assuming that the suicides were independent. Are the data compatible with a greater suicide rate in winter than summer, based on a 95% confidence interval?
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…
The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray Ultrasound 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 8.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 13.50 9.25 11.00 12.00 14.00 17.00 18.00 4.25 4.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 14.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = MX-ray-Multrasound. Round your answers to three decimal places.) × % Interpret the interval in context. O There is a 95% chance that the true mean body fat percentage…