Problem # 1 UCF College of Business obtained the following results from two independent random samples on the salaries of a recent graduating class: Sample Economics (1) Majors Sample Marketing (2) Majors Sample Size Economics Majors =36 Sample Size Marketing Majors =50 Mean Sample Economics = $51,230 Mean Sample Marketing =$49,300 Standard Deviation Sample Economics =$900 Standard Deviation Sample Marketing =$1,200 Managerial Report Prepare a managerial report that addresses the following issues: 1. What is the degrees of freedom for the t distribution (round the answer to the previous whole number)? Why is the t distribution appropriate in this situation? Show steps 2. What is the 95% confidence interval for the difference between the two population means (to 1 decimal and enter any negative values as a negative number)? Show steps H : P1 - Pa = 0 H : - H2 +0 3. At 95% does there appear to be any difference in the mean job offer for these two groups? Which method are you using (Show Steps)? Please explain in detai!

Problem # 1 UCF College of Business obtained the following results from two independent random samples on the salaries of a recent graduating class: Sample Economics (1) Majors Sample Marketing (2) Majors Sample Size Economics Majors =36 Sample Size Marketing Majors =50 Mean Sample Economics = $51,230 Mean Sample Marketing =$49,300 Standard Deviation Sample Economics =$900 Standard Deviation Sample Marketing =$1,200 Managerial Report Prepare a managerial report that addresses the following issues: 1. What is the degrees of freedom for the t distribution (round the answer to the previous whole number)? Why is the t distribution appropriate in this situation? Show steps 2. What is the 95% confidence interval for the difference between the two population means (to 1 decimal and enter any negative values as a negative number)? Show steps H : P1 - Pa = 0 H : - H2 +0 3. At 95% does there appear to be any difference in the mean job offer for these two groups? Which method are you using (Show Steps)? Please explain in detai!

Name: Problem # 1UCF College of Business obtained the following results fro
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Problem # 1UCF College of Business obtained the following results from two independent random samples on the salaries of a recent graduating class:Sample Economics (1) MajorsSample Marketing (2) MajorsSample Size Economics Majors =36Sample Size Mark

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

Smoking is detrimental to health. The following shows the years of smoking and life expectancy at the age of 40 for 5 female employees working at Ernst & Young. Employee ? Anne Lena Ying Hyuna Sasha ?? 25 22 5 20 17 ?? 63 62 75 72 68 (i) Treating the data as a sample, compute ??? and ???. (ii) Treating the data as the population, compute ??? and ???.
BSM 313 – Statistical Theory Problem Set No. 4 Analysis of Variance 1) The following data represent the number of packages of 5 popular brands of cigarettes sold by a supermarket on 6 randomly selected days. Perform the analysis of variance, at the 0.05 level of significance, and determine whether or not the 5 brands sell, on the average, the same number of cigarettes at this supermarket. No. of Cigarettes Sold Brand A C D E 21 35 45 32 45 35 12 60 53 29 32 27 33 29 31 28 41 36 42 22 14 19 31 40 36 47 23 40 23 29
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
1) The following 25 scores are from students that participated in a psychology experiment. The scores represent the number of trials required to master a memory task. What is the range, mean, variance, and standard deviation for this dataset? 12 10 12 11 6 15 14 17 9 12 13 8 7 15 14 15 18 19 14 10 14 14 16 8 9
Here is the Statistics problem. Read this passage. What is the explanatory variable in this passage?
7. Effect size - Cohen's d and r squared An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist’s findings is that 18 months after the workshop, a sample of 36 job seekers who received training on resume writing scored an average of 7.3 as measured on a 9-point job-search motivation scale, with a standard deviation of 1.5. The typical job seeker scores 6.1 points. The psychologist finds that the estimated Cohen’s d is , the t statistic is 4.80, and r² is . Using Cohen’s d and Cohen’s guidelines for interpreting the effect size with the estimated Cohen’s d, there is a treatment effect. Using r² and the extension…
11.a)Consider a data set for which we calculate the variance using both the population equation and the sample equation. If the sample equation gives us a value 11% higher than the population equation, how many values are in the data set? 5 6 7 8 9 10 11 12 13 14 15
Lab # 9 Statistics in Psychology Analysis of Variance Within Subjects ANOVA One-Way Within-Subjects Design 1. A group of clinicians who are members of the U.S. military are concerned with the morale of troops serving in war regions. They hypothesize that the number of tours a soldier has served significantly affects morale. To test this hypothesis, they select a sample of eight soldiers who served three tours in war regions and ask them to rate their morale during each tour they served in. Lower ratings indicate lower morale. The table lists the hypothetical results of this study. Complete the F table and make a decision to reject or fail to reject the null hypothesis at the .05 significance level. 1st 2nd 3rd 6 5 4 Нуpotheses: 5 4 Ferit /threshold: 6 3 6 7 7 5 7 6 6 7 7 7 6 7 Source of Variation SS df MS Fobt Between groups Between persons Within groups (error) Total Conclusion:
4.A college student is interested in whether there is a difference between male and female students in the amount of time they spend studying each week period the student gathers information from a random sample of male and female students on campus. The amount of time spent studying is normally distributed. The data are: Male Female 27 25 25 29 19 18 10 23 16 20 22 15 14 19 What statistical test should be done to analyze these data? Identify Ho and Ha for this study. Conduct the appropriate analysis. Should Ho be rejected? What should the researcher conclude? If significant, compute and interpret the effect size.
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: B: Percent for company 5 8 13 16 14 20 4 13 A: Percent for CEO 2 –1 3 14 19 17 3 9 Do these data indicate that the population mean percentage increase in corporate revenue (row B) is different from the population mean percentage increase in CEO salary? Use a 1% level of significance. Are the data statistically significant at level α? Will you reject or fail to reject the null hypothesis? choose one: a) Since the interval containing the P-values has values that are smaller than the level of significance, the data are statistically significant and so we reject the null hypothesis. b) Since the interval containing…
Continuation of problem-3. Given the following annual sample data, determine the mean delivery time, variance and standard deviation of the delivery time, and the probability of a delivery occurring in four or fewer days. Travel Time (days) 2 3 4 5 6 Number of Deliveries 36 312 104 46 16 350 Number of deliveries 200 L.L. 150 100 3 4 5 Travel Time in Days 300 250 Annual Deliveries 50 2 6