A manufactures of LED sets was trying to find out what variables influencedthe purcnase of a LED set. Level of income was suggested as possible variable influencingthe purchase of LED sets. A sample of 500 households was selected and the informationobtained is classified as shown below :Have LED setDo not have LED setLow income group0.250Middle income group501008020High income groupIs there evidence from the above data of a relation ownership of LED sets and level of income ?

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Answered: A manufactures of LED sets was trying…

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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A sample of 66 people were asked which of 6 new flavours of crisps they prefer. The observed frequencies are as follows:Flavour Frequency Percent1 : Onion Bhaji 8. 12.122 : Fish & Chips. 7 10.613 : Cajun Squirrel. 8 12.12 4 : Builder's Breakfast 24. 36.36 5 : Chilli & Chocolate. 7. 10.616 : Crispy duck & Hoisin 12. 18.18 Total 66 100% Carry out a hypothesis test to investigate if there is any evidence of a preference for any flavour, at significance level α = 0.05. Complete the test by answering the following questions : Which of the following is the correct choice of hypotheses for the test: a) H 0: p1 = p2 = p3 = p4 = p5 = p6 = 1/6 versus H a: at least one pi ≠ 1/6 b) H 0: p1 = p2 = p3 = p4 = p5 = p6 = 1/6 versus H a: p1 ≠ p2 ≠ p3 ≠ p4 ≠ p5 ≠ p6 ≠ 1/6 Insert your answer (a or b). Assuming the…
Online Sales Inc. has outsourced their customer service and wants to construct a control chart for determining whether the 10 customer service employees in the company they’ve hired are under control regarding the number of unsatisfied customers. Online Sales Inc. has sampled 100 service calls from last year for each customer service employee, with the following results: Customer Service Employee Unsatisfied customers 1 20 2 33 3 15 4 28 5 17 6 25 7 18 8 26 9 16 10 28 Analyze the data using a p-chart that would provide a 97% confidence interval, identifying the control limits and customer service employees, if any, that are outside the control limits. (use excel to show formulas used)
10) The following table shows the sample subjects cross-classified by gender and the type of violent victimization reported. Can we conclude on the basis of these data that victimization status and gender are not independent? Let a =0.01. Gender Women Men Total No victimization 611 308 919 Partner 42 20 62 Non-partner 16 17 33 Total 669 345 1014
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Please help me with the following question and make sure your answer is correct 100%, thank you
The provided table shows the in-state undergraduate tuition in 2014 and 2018 for 33 public universities.Virginia's data was identified as an unusual observation. Remove it from the dataset before performing the following analysis.Year2014Year2018Year2014Year2018Year2014Year2018UniversityUniversityUniversityPenn State17,50218,454Ohio State10,03710,726Texas979810,606Pittsburgh17,77219,080Virginia12,99817,564Nebraska80709154Michigan13,48615,262Cal-Davis15,58914,463lowa80799267Rutgers14,29714,974Cal-Berkeley12,97214,184Colorado10,78912,532Michigan StateCal-Irvine14,75715,614Iowa State7731898813,81314,460Purdue10,0029992North Carolina83468987Maryland942710,595Illinois15,02015,094Cal-San Diego13,45614.199Kansas10,44811,148Minnesota13,62614,693Oregon991811.898Arizona10,95712,487Missouri11,02112,055Wisconsin10,41010,555Florida63136381Buffalo887110,099Washington12,39411,517Georgia Tech11,39412,424Indiana10,38810,681UCLA13,02913,774Texas A&M917910,968Click to download the data in your…
8) The following results are from data that were collected from the various high schools around the county. The dependent variable is % OF STUDENTS GOING TO COLLEGE, and the independent variables are: AVERAGE CLASS SIZE, COMBINED SAT SCORES, SPENDING PER STUDENT, AVERAGE TEACHER SALARY, AND % TAKING THE SAT Since the 3 variables AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are each not significant at the 10% level of significance individually, in order to test to see if as a group they are significant the 3 variables are excluded and another regression is run. The results are as follows: a) At the 10% level of significance, test whether as a group AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are significant. Be sure to state the null and alternative hypotheses for this hypothesis test.
I want to assess the effects of diet (control diet, high-sugar diet, high-fat diet) and exercise (no voluntary running wheel, voluntary running wheel) on time spent in a target quadrant (more time indicates better memory). I record the percent time spent in a target quadrant for 30 mice and obtain the following data: Control Diet High-sugar Diet High-fat diet No running wheel 15, 28, 29, 30, 25 24, 20, 30, 32, 20 19, 23, 22, 23, 25 Running wheel 30, 34, 35, 44, 32 21, 22, 28, 26, 29 30, 32, 28, 19, 26 What type of factorial design is this? (ex: # x #) ______________ What is the critical F value you’ll be making a decision based on (assume alpha = .05)? Diet: ____ Exercise: _____ Interaction: ______
ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the following ANOVA table: Source of Variation Between Groups Within Groups Total SS 19.43 2.85 O 3.68 O 19.45 O 3.57 df 68102.33 2 34051.17 Using a = 0.05, the critical F value is MS 29177.67 15 1945.178 97280 17 F
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Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 b) compute the correlation coefficient and coeffcient of determination. Interpret the coefficients.
The annual incomes for 8 professions are shown below. From the data, identify the best measure of central tendency to find the average annual income of the 8 professions with justification. Profession Annual Income Farming, Fishing, and Forestry $19,630 Sales and Related $28,920 Architecture and Engineering $56,330 Healthcare Practitioners $49,930 Legal $69,030 Teaching & Education $39,130 Construction $35,460 Professional Baseball Player $2,476,590

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