A study of the career plans of young women and men sent questionnaires to 722 students of class at one University. Onequestion asked which major within the business program the student had chosen. With data we test a statement: Doesthe data suggest that there is a relationship between the gender of students and their choice of major? We calculatedthe p-value and it is 0,0127 and the level of significance is 0,05. The conclusion to the test is:a. there is sufficient evidence to conclude that the choice of major and the gender of the student are notindependent of each other.b. there is insufficient evidence to conclude that more females prefer administration than malesc. there is insufficient evidence to conclude that the choice of major and the gender of the student are notindependent of each other.d. there is sufficient evidence to conclude that students find economics very hard.Zrušit mou volbu

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Answered: A study of the career plans of young…

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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If the p-value of a test is .037 then you would
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was Sd = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Hoμd Haμd - Select your answer - - Select your answer - b. Use a 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ✓ What is the p-value? (to 6 decimals) c. Which…
The concept “Job Involvement” is defined as the degree to which an employee is engaged in and enthusiastic about performing his/her work. In a study one section of the questionnaire was designed to measure “Job Involvement” of the employees. There were 6 items in this construct, each measured on a Likert scale of 1 to 5: JINV1. The major satisfaction in my life comes from my job JINV2. My job means a lot more to me than just money JINV3. I will stay overtime to finish a job, even if I am not paid for it JINV4. I look forward to coming to work each day JINV5. I would probably keep working even if I didn’t need the money JINV6. The most important things that happen to me involve my work The questionnaires were self-administered and 200 cases were used in the final analysis. The data were analysed using SPSS. The following are some of the output from factor analysis. 1) Interpret the values in Table 12 2) Overall how good is the instrument in measuring career salience? 3) If there is…
dults aged 18 years old and older were randomly selected for a survey on obesity. Adults are considered obese if their body mass index (BMI) is at least 30. The researchers wanted to determine if the proportion of southern women who are obese is less than the proportion of southern men who are obese. The results are shown in the table below. Test at the 1% level of significance. Number who are obese Sample size Men 42,773 155,525 Women 67,176 248,775 a.State the distribution to use for the test. (Round your answers to five decimal places. b. What is the test statistic c. Conduct a Hypothesis Test
Bank of America’s Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d= $850, and the sample standard deviation was sd= $1123.a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out.b. Use a .05 level of significance. Can you conclude that the population means dif-fer? What is the p-value?c. Which category, groceries or dining out, has a higher population mean annual credit card charge? What is the…
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