b. A survey was conducted to examinethe relationship between the use offinancial advisor and ownership of stocksamong middle income Kenyans. Theresults of this survey are shown in thetable below:Use of financialOwnDo not own TotaladvisorstocksstocksYes165135300No4357100Total208192400At the 5% significance level, can youconclude that the use of a financial advisoris related to stock ownership for all middleincome Kenyans? Show your workings.Critical Chi-Square value = 3.841)i. State the null and alternativehypothesesii. Compute the value of the test statisticiii. What is your hypothesis testingdecision and conclusion?

Answered: Image /qna-images/answer/f0d1ebe0-a94d-42e6-ab94-3a65bfca6b52.jpg

Answered: b. A survey was conducted to examine…

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. A consumer panel tested nine makers of air conditioners for overall quality. The ranks assigned by the panel and the suggested retail prices were as follows. SUGGESTED PRICE (Php) 14, 800 13, 950 15, 750 15, 500 15, 100 15, 450 14, 000 14, 650 14, 200 MANUFACTURER PANEL RATING 6 9 8 1 7 4 3 Is there a significant relationship between the quality and the price of an air conditioner? ABCDEECHI
Health coverage, frequencies. The Behavioral Risk Factor Surveillance System (BRFSS) is an annual telephone survey designed to identify risk factors in the adult population and report emerging health trends. The following table summarizes two variables for the respondents: health status and health coverage, which describes whether each respondent had health insurance. Health No Coverage Yes Total Excellent 459 4,198 4,657 Very good Health Status Good Fair Poor Total 385 99 2,524 727 854 6,245 4,821 1,634 578 17,476 6,972 5,675 2,019 677 20,000 If one individual is drawn at random, what is the probability that the respondent has excellent health or doesn't have health coverage? Round your answer to five decimal places.
In the digital age of marketing, special care must be taken to make sure that programmatic ads appearing on websites align with a company's strategy, culture and ethics. For example, in 2017, Nordstrom, Amazon and Whole Foods each faced boycotts from social media users when automated ads for these companies showed up on the Breitbart website (ChiefMarketer.com). It is important for marketing professionals to understand a company's values and culture. The following data are from an experiment designed to investigate the perception of corporate ethical values among individuals specializing in marketing (higher scores indicate higher ethical values). Marketing Managers Marketing Research Advertising 4 6 7 3 6 6 3 5 6 4 5 5 5 5 6 5 6 6 Find the value of the test statistic. Find the p-value. (Round your answer to three decimal places.) p-value = (b) At the ? = 0.05 level of significance, we can conclude that there are differences in the perceptions for marketing…
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We sometimes hear that getting married is good for your career. Assume the table presents data from one of the studies behind this generalization that classifies men ages 18 and over according to marital status and annual income. We include only data on men to avoid sex bias. Income No income $1-$49,999 $50,000-$99,999 $100,000 and over Total Marital status and salary level (thousands of men) Marital Status Single men with no income: Single (Never Married) 5403 25,696 6152 2145 39,396 Married 1256 31,569 22,145 14,588 69,558 Divorced 563 6210 3112 1912 11,797 Widowed 145 2439 650 301 3535 What percentage of single men have no income? Give your answer to one decimal place. Total 7367 65,914 32,059 18,946 124,286 %
A real estate agency, located in a metropolitan area in the northeastern U.S., kept data on the various types of properties purchased in the area. Historically, 15% of purchases were for condominiums, 30% were for townhouses, 40% for single family homes, 10% for commercial properties and 5% for land. With changing demographics, the agency wondered if the current distribution matches the historical distribution. Recent data showed the following: Type of Property Condos Townhouses Homes Commercial Land Frequency 89 121 78 25 12 Based on the historical distribution, we would expect how many homes to be purchased? Question content area bottom Part 1 A. 130 B. 121 C. 129.95 D. 122.54 E. 100
a. Is there a main effect of Drug Dose? Explain. b. Is there a main effect of Sex? Explain. c. Is there an interaction between Sex and Drug Dose? Explain.
A national study conducted by a market research firm, evaluated the top technology companies and their reputations. The following shows how 10 technology companies ranked in reputation and how the companies ranked in percentage of respondents who said they would purchase the company's stock. A positive rank correlation is anticipated because it seems reasonable to expect that a company with a higher reputation would have the more desirable stock to purchase. Company Company A Company B Company C Company D Company E Company F Company G Company Hi Company I Company J Ho: Ps ≤0 Ha: Ps > 0 O Ho: P₂ > 0 H₂: Ps = 0 Reputation Stock Purchase O Ho: Ps+0 Ha: Ps = 0 1 O Ho: Ps 20 Ha: Ps <0 2 3 4 5 6 7 8 9 10 3 1 4 2 9 5 10 6 (a) Compute the rank correlation between reputation and stock purchase. (Round your answer to three decimal places.) 's = 0.709 ✓ (b) Test for a significant positive rank correlation. State the null and alternative hypotheses. Ho: P₂ = 0 Ha: Ps0 7 8 Find the value of the…
Identify the type of observational study (cross-sectional, retrospective, or prospective) described below. A research company uses a device to record the viewing habits of about 10,000 households, and the data collected over the next 10 years will be used to determine whether the proportion of households tuned to a particular children's program decreases. Which type of observational study is described in the problem statement? O A prospective study O A retrospective study A cross-sectional study F4 F5 F6 F7 F8 F9 DELL F10 (... F11 -O F12 O PrtScr Insert Delete PgUp 。 Next PgDn Ho
How do the average weekly incomes of electricians and carpenters compare? A random sample of 17 regions in the United States gave the following information about average weekly income (in dollars). (Reference: U.S. Department of Labor, Bureau of Labor Statistics.) Region 1 2 3 4 5 6 7 8 9 Electricians 464 715 597 464 736 694 744 571 806 Carpenters 542 813 513 476 688 503 789 653 474 Region 10 11 12 13 14 15 16 17 Electricians 592 594 702 579 868 598 597 654 Carpenters 489 647 676 384 817 605 556 505 Does this information indicate a difference (either way) in the average weekly incomes of electricians compared to those of carpenters? Use a 5% level of significance. (a) What is the level of significance? (b) Compute the sample test statistic. (c) Find the P-value of the sample test statistic.
(ii) The lecturer wishes to compare the average scores for Business Statistics between the accounting students and the finance students. He records the marks of a group of 8 students from each course in the following table. Student Accounting course Finance course 78 54 56 95 3 67 68 4 49 71 88 82 76 7 8 62 74 86 85 57 Test at 5% level of significance whether the average score for Business Statistics is different between accounting students and finance students.
Different regions in the country spend contrasting amounts on advertising to encourage members of the public to donate blood. The following data were collected last year on the monies spent for marketing by fourteen (14) regions and the actual blood donations received. Region Marketing Spend ($000) x Total Blood Donations у 3.8 52 4.2 72 8.6 166 7.4 198 5.6 130 5.6 150 3.0 98 7.0 174 4.6 130 6.6 244 6.8 134 8.2 158 8.0 292 4.6 166 The following summary statistics have been calculated: Ex = 84 ; Ey = 2164 ; Ex² = 544.88 ; Ey² = 386,104.00 ; Σχν - 13,987.60 ; ESSXX = 40.88 ; ESSyy = 51,611.43 ; ESSxy= 1,003.60 x = 6 = 154.57 (a) Find the equation of the least squares regression line. (b) Identify one point on your least squares regression line. (c) Calculate the correlation coefficient "r" and interpret the result. (d) Calculate the r2 value and interpret the result. (e) How many blood donations would you expect a region to receive if they spent $5,100 per year on marketing?

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