An education researcher claims that at most 7% of working college students are employed as teachers or teaching assistants. In a random sample of 500 working college students, 9% are employed as teachers or teaching assistants. Ata= 0.01, is there enough evidence to reject the researcher's claim? Complete parts (a) through (e) below.Let p be the population proportion of successes, where a success is a working college student who is employed as a teacher or teaching assistant. State H, and H,. Select the correct choice below and fill in the answer boxes to complete yourchoice.(Round to two decimal places as needed.)O A. Ho: p<B. Ho: ps 0.07OC. Ho: p=H p2H p> 0.07O D. Ho: p>H: psH p#OF. Ho: pzOE Ho: p#H p=H:p<(b) Find the critical value(s) and identify the rejection region(s).Identify the critical value(s) for this test.z = 2.33(Round to two decimal places as needed. Use a comma to separate answers as needed.)Identify the rejection region(s). Select the correct choice below and fill in the answer box(es) to complete your choice.(Round to two decimal places as needed.)O A. The rejection region is O D. The rejection regions are z

Given,sample size(n)=500sample proportion(p^)=0.09α=0.01H0:p≤0.07Ha:p>0.07

Answered: An education researcher claims that at…

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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3.10 The survey on student attitude toward e-books described in Exercise 3.5 was conducted in 2011. A similar survey was also conducted in 2012 (The Chronicle of Higher Education, August 23, 2013). Data from 1588 students who participated in the 2012 survey are summarized in the accompanying table. Response Percentage in This Category Strongly disagree 19.1 Disagree 27.5 Agree 26.3 Strongly agree 16.0 Don't know 11.1 a. Use these data and the data from Exercise 3.5 to construct a comparative bar chart that shows the distribution of responses for the two years. (Hint: See Example 3.1.) b. Based on your graph from part (a), do you think there was much of a change in attitude toward e-books from 2011 to 2012?
he accompanying data are x = advertising share and y = market share for a particular brand of cigarettes during 10 randomly selected years. x 0.103 0.073 0.071 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.132 0.126 0.122 0.086 0.079 0.076 0.065 0.059 0.051 0.039 (a) Calculate the equation of the estimated regression line. (Round your answers to six decimal places.)y = Obtain the predicted market share when the advertising share is 0.09. (Round your answer to five decimal places.)(b) Compute r2. (Round your answer to three decimal places.)(c) Calculate a point estimate of ?. (Round your answer to four decimal places.)On how many degrees of freedom is your estimate based?
.Define any statistic cells as desired (e.g., the mean profit)?
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
Based on the following two tables, what conclusions can you draw? Contrast between the expected values and the observed values. H1: The gender and afraid to walk at night in your neighborhood are not independent variables. H0: The gender and afraid to walk at night in your neighborhood are independent variables.
A publisher of magazines for teenager's wishes to determine whether there is a relationship between the gender of a teenager and the type of the magazine that he/she prefer to read. A survey of 200 teenagers produced the following results: Gender Male Female Total Select one: a. 7.815 b. 5.991 Music 29 18 47 O c. 4.605 O d. 9.210 e. 3.841 Type of Magazine Clothes 32 25 57 Performing the Chi-squared test at a 10% level of significance to determine whether there is a relationship between the gender of the teenager and magazine preference, determine the critical value of the test. Gadgets 59 37 96 Total 120 80 200
An article about the California lottery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The article also gave information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lottery ticket purchasers. Based on these sample data, is it reasonable to conclude that one or more of these three age groups buys a disproportionate share of lottery tickets? Use a chi-square goodness-of-fit test with ? = 0.05. Age of Purchaser Frequency 18–34 36 35–64 130 65 and over 34 Calculate the test statistic. (Round your answer to two decimal places.) ?2 = Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? The data strong evidence to conclude…
Number of Flights Arriving on Time Number of Flights Arriving Late Sunshine Airline 33 5 Comfort Airlines 43 6 The table above contains data from a study of two airlines - Sunshine Airlines & Comfort Airlines - which fly from BWI to Shore City, FL. If one flight is selected, find P (on time and Comfort Airlines).
The results: A. Are, or B. Are not significantly: A. High, or B. Low so there: A. is, or B. is not
None
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?
Can this all be completed with SPSS along with all of the steps as well please? Base on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis) Base on the same given data, conduct an analysis for the variable sale price to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)? Each question need to include a spss output.

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