18. A poll was taken of 14,056 working adults aged 40-70 to determine their level of education. Theparticipants were classified by sex and by level of education. The results were as follows.Male Female TotalEducation LevelHigh School or LessBachelor's Degree314124345575361937617380472Master's Degree 53452437346 6710 14,056100695Ph.D.TotalA person is selected at random. Compute the following probabilities:(d) The probability that the selected person is male, given he has a Master's degree(e) The probability that the selected person does not have a Master's degree, given it is a male(f) The probability that the selected person is female, given that she has a Bachelor's degree(g) The probability that the selected person has a Ph.D, given it is a female

Answer Given Education. Male. Female. Total High school. 3141. 2434.…

Answered: 18. A poll was taken of 14,056 working…

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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18. | Political Affiliation: Spending Two random samples were drawn from members of the U.S. Congress. One sample was taken from members who are Democrats and the other from members who are Republicans. For each sample, the number of dollars spent on federal projects in each congressper- son's home district was recorded. (i) Make a cluster bar graph showing the percentages of Congress members from each party who spent each designated amount in their respective home districts. (ii) Use a 1% level of significance to test whether congressional members of each political party spent designated amounts in the same proportions. Dollars Spent on Federal Projects in Home Districts Less than 5 to 10 More than Row Party 5 Billion Billion 10 Billion Total Democratic 8 15 22 45 Republican 12 19 16 47 Column Total 20 34 38 92
Adela Noriegam, a researcher wants to determine how employee salaries at a certain company are related to the length of employment, previous experience, and education. The researcher selects eight employees from the company and obtains the following data: Employee Salary,y Employment (in yrs), x1 Employment (in yrs), x2 Employment (in yrs), x3 A 57310 10 2 16 B 57380 5 6 16 C 54135 4 1 12 D 56985 6 5 14 E 58715 8 8 16 F 60000 20 0 12 G 59400 9 4 18 H 60720 15 7 17 What is the regression equation? Leave your answer in 2 decimal places Y = ()+() +() +
1. Explain the difference between z-tests (which use categorical data), and t-tests (which use numerical data). 2. Conduct a t-test, both when given statistics, and when given data. 3. Conduct a t-test, 2-sample t-test, and paired t-test. 4. Differentiate between the five types of tests we have learned so far.
Ho: μ ≤ 12 Ha: μ> 12 A sample of 25 provided a sample mean x = 14 and a sample standard deviation s = 4.44. (a) Compute the value of the test statistic. (Round your answer to three decimal places.) (b) Use the t distribution table to compute a range for the p-value. O p-value > 0.200 O 0.100 12. Reject Ho. There is sufficient evidence to conclude that µ > 12. Reject Ho. There is insufficient evidence to conclude that μ > 12. Do not reject Ho. There is sufficient evidence to conclude that μ> 12. (d) What is the rejection rule using the critical value? (If the test is one-tailed, enter NONE for the unused tail. Round your answer to three decimal places.) test statistic ≤ test statistic > What is your conclusion? O Do not reject Ho. There is insufficient evidence to conclude that μ > 12. Reject Ho. There is sufficient evidence to conclude that µ > 12. Reject Ho. There is insufficient evidence to conclude that µ > 12. Do not reject Ho. There is sufficient evidence to conclude that μ> 12.
Question 2: Youre peforming a lert tailed test If a-.03 find the Critical valuer to three decimet places
A small college has been accused of gender bias in its admissions to graduate programs. a. Out of 500 men who applied, 255 were accepted. Out of 700 women who applied, 240 were accepted. Find the acceptance rate for each gender. Does this suggest bias? b. The college then looked at each of the two departments with graduate programs and found the data below. Compute the acceptance rate within each department by gender. Does this suggest bias? Department Men Women Applied Admitted Applied Admitted Dept A 400 240 100 90 Dept B 100 15 600 150 c. Looking at our results from Parts a and b, what can you conclude? Is there gender bias in this college’s admissions? If so, in which direction?
A programmer plans to develop a new software system. In planning for the operating system that he will use, he needs to estimate the percentage of computers that use a new operating system. How many computers must be surveyed in order to be 99% confident that his estimate is in error by no more than three percentage points? Complete parts (a) through (c) below. Question content area bottom Part 1 a) Assume that nothing is known about the percentage of computers with new operating systems. n=enter your response here (Round up to the nearest integer.) Part 2 b) Assume that a recent survey suggests that about 90% of computers use a new operating system. n=enter your response here (Round up to the nearest integer.) Part 3
4. A school has 600 pupils. The number in each year group is shown below: 7 Year 8 9 10 11 Number of pupils 114 132 120 126 108 Stratified sample A stratified sample of 100 pupils is to be taken, related to how they travel to school. How many pupils from each year group should be tested?
A programmer plans to develop a new software system. In planning for the operating system that he will use, he needs to estimate the percentage of computers that use a new operating system. How many computers must be surveyed in order to be 99% confident that his estimate is in error by no more than two percentage points question mark Complete parts (a) a) Assume that nothing is known about the percentage of computers with new operating systems.
A poll was taken of 12,729 working adults aged 40-70 to determine their level of education. The participants were classified by sex and by level of education. The results are shown below. Education Level Male Female Total High School or Less 3577 2472 6049 Bachelor's Degree 3037 2585 5622 Master's Degree 480 464 944 Ph.D. 66 48 114 Total 7160 5569 12,729 A person is selected at random. Compute the following probabilities. b) What is the probability that the selected person does not have a Master's degree, given that he is male? What is the probability that the selected person has a Ph.D., given that she is female?
1. A researcher is interested in the texting habits of high schools students in the United States. The researcher selects a group of 200 students, measures the number of text messages that each individual sends each day (for a single week), and calculates the average number for the group. a. Identify the population for the study. b. Identify the sample for this study. c. The average number calculated is an example of what?

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