Abel Alonzo, Director of Human Resources, is exploring employee absenteeism at the Harrison Haulers Plant. Abel knows that absenteeism varies significantly between departments. For example, workers in the wood shop are absent more than those in the tuning department and the size of the departments ranges from 40 to 120 workers. He orders a random sample of 10 workers from each of the six departments. Abel's sample is a proportionate systematic sample proportionate stratified sample disproportionate systematic sample disproportionate stratified sample O proportionate cluster sample

Abel Alonzo, Director of Human Resources, is exploring employee absenteeism at the Harrison Haulers Plant. Abel knows that absenteeism varies significantly between departments. For example, workers in the wood shop are absent more than those in the tuning department and the size of the departments ranges from 40 to 120 workers. He orders a random sample of 10 workers from each of the six departments. Abel's sample is a proportionate systematic sample proportionate stratified sample disproportionate systematic sample disproportionate stratified sample O proportionate cluster sample

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

Matt Gaetz, a health educator, wants to evaluate the effect of a dental film on the frequency with which children brush their teeth. A random selection of 8 children are used for the experiment. First, a baseline of the number of times the children brush their teeth over a month's period is established. Next, the children are shown the dental film and again the number of teeth brushings are recorded for a month. The following data are recorded. Subject 1 2 3 4 5 6 7 8 After Film 28 29 25 30 25 27 28 24 Baseline 25 28 22 30 26 24 25 22 a. What is the null hypothesis? b. What is the alternative hypothesis c. What is your conclusion, using an alpha of 0.05 (2 tailed)?
Solve the following problems. Show your complete solution.
I have a group with 6 members from my family.I've weight 52 kg,my father weight 63 kg,my younger brother weight 35 kg,my cousin weight 38 kg,my uncle weight 72 kg. and my eldest brother weight 55 kg.Consider samples of size 4 that can be drawin from this population. Answer the following questions:(Answer number 1,2 and 3) 1.How many possible samples can be drawn?2.List all possible samples and the corresponding means.3.Construct the sampling distribution of the sample means.
Are America's top chief executive officers (CEOs) really worth all that money? One way to answer this question is to look at row B, the annual company percentage increase in revenue, versus row A, the CEO's annual percentage salary increase in that same company. Suppose that a random sample of companies yielded the following data: Do these data indicate that the population mean percentage difference in corporate revenue (row B) is different from the population mean percentage increase in CEO salary? Use a 1% level of significance. (A) Are the data statistically significant at level α? Will you reject or fail to reject the null hypothesis? Since the interval containing the P-values has values that are larger than the level of significance, the data are not statistically significant and so we fail to reject the null hypothesis. (a)Since the interval containing the P-values has values that are larger than the level of significance, the data…
Health insurer benefits vary by the size of the company. The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purpose of this study, small companies are companies that have fewer than 100 employees. Medium-sized companies have 100 to 999 employees, and largevcompanies have 1000 or more employees. The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employee to indicate the size of the company. Health Insurance Size of company Yes No Total Small. 35 15 50 Medium 67 8 75 Large 87 13 100 A. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company. What is the p-value? Compute the value of the x2 test statistic (to 2 decimal)
Kindly assist with creating bar charts, or pie charts for the below results; The results of this study were based on interviews issued and completed by eleven (11) employees at the Hotel. This research study comprised 31.4% of the total workforce across the three departments, with a total of 35 employees who varied in age from 16 years to above 65 years. 63.6% of individuals who participated were female, while 36% were male. The interviews included participation from 30% of employees in the housekeeping department, 33% from Guest Services, and 31% from the Food and Beverage department. There is a higher representation of females across all departments, with a total of 7 females compared to 4 males. There is a range of tenure lengths, with some employees having just started (1 year) and others having been with the hotel for longer periods (up to 14.5 years).
You may need to use the appropriate technology to answer this question. Suppose a company surveyed the work preferences and atitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials. In one question, individuals were asked if they would leave their current job to make more money at another Job. The sample data are summarized in the following table. Generation Leave Job for More Money? Baby Boomer Generation X Millennial Yes 124 154 167 No 202 185 174 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation State the null and aiternative hypotheses Hg Interest in leaving job for more money is independent of the employee generation H, Interest in leaving job for more money is not independent of the employee generation. OH Interest in leaving job for mere money is mutually excusive of the employee generation H, Interest in leaving job for more money is not…
HELP ASAP
Using EXCEL, run the Matched Sample t-test on data in Problem 24 on page 501. Data: Reported domestic airfare for business travel for the current year and previous year. Below is a sample of 12 flights with domestic airfares shown for both years. Current Year Previous Year Current Year Previous Year 345 315 635 585526 463 710 650420 462 605 545216 206 517 547285 275 570 508405 432 610 580
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.
A statistics teacher asked two different students, Lexie and Jennifer, to go to Wegmans and sample 30 shoppers each. The population of interest for both people can be defined as, “People who shop at the Johnson City, NY Wegmans store”. Here is what each person did to collect their sample: Lexie: She stood outside at the entrance to the store on 3 different days and times and surveyed every 15th person to walk by her. She surveyed 10 people each time to get her 30. Jennifer: She went to Wegmans after her nursing shift first thing Wednesday morning to buy deodorant since she ran out. When she was in the pharmacy area she surveyed all the people around her and then, to get up to 30 surveys, she went to the health food section and surveyed everyone she was there. Identify at least 2 specific reasons why Lexie’s approach is more likely to give a representative sample. Consider sources of bias, or types of shoppers who might be excluded by Jennifer’s approach.…
In one particular rainforest in Tasmania, it has been found that 70% of the trees are eucalyptus trees; 20% of the trees are Australian blackwood trees and 10% of the trees are myrtle beech trees. Unfortunately, this rainforest has recently been affected by bushfires; and we are interested in determining whether or not the above percentage distribution of trees has been affected by these bushfires. When the number of trees remaining were counted after several had been burnt down by the bushfires, it was found that there were a total of 500 trees left. Of these, 320 were eucalyptus trees; 120 were Australian blackwood trees and 60 were myrtle beech trees. A scientist would like to know if there is evidence of a significant change in the percentage distribution of trees aş a result of these unfortunate bushfires. (i) Use statistical notation to state the appropriate null and alternate hypotheses. (ii) Calculate the chi-squared test statistic for these data. (ii1) Given a p-value of 0.038…