ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that thestyle (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world andsophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the followingANOVA table:Source of VariationBetween GroupsWithin GroupsTotalSSdfMS68102.33 2 34051.17 17.5054329177.67 15 1945.17897280 17Using a = 0.05, the appropriate decision is _____.Freject the null hypothesis µ₁ μ2 # μ3do not reject the null hypothesis μ₁ ≥ 2 ≥H3do not reject the null hypothesis ₁ ≤ N2 ≤H3reject the null hypothesis M₁ = M2=H3O inconclusive

The question is about ANOVA.Given :degree of freedom for between groups ( dfbetween ) = 2degree of…

Answered: ShopEasy Inc. is a specialty e-tailer…

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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The Energy Star rating system is an energy efficiency program run by the U.S. Environmental Protection Agency (EPA)Energy Star certified appliances, such as televisions and refrigerators, are rated in regard to their average energy consumption per year. A certain brand of Energy Star certified refrigerator is stated to have a mean yearly electricity cost of $99. A consumer advocacy organization believes that this claim is wrong, that the energy consumption of this particular refrigerator is different than $99 per year. The group collected a random sample of 16 refrigerators of the model in question and had each lab-tested for electricity consumption. The yearly energy consumption of each is given below. 96.7697.898.67 95.52 97.8 95.896.9299.57 97.64 95.46 98.03 96.42 99.32 98.99 95.2197.12 Using alpha = 0.1 , test the hypothesis that the average yearly electricity consumption of the refrigerator in question is different than $99 per year. Assume that the distribution of all electricity…
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…
Consider the following data set: 56, \ 56, \ 64, \ 45, \ 69, \ 42, \ 42, \ 18, \ 42, \ 65 59, \ 71, \ 64, \ 18, \ 42, \ 72, \ 62, \ 20, \ 69, \ 60 72, \ 71, \ 51, \ 62, \ 42, \ 62, \ 66, \ 72, \ 60, \ 18 The class width of a histogram with 6 classes is
Consider the following data representing the price of refrigerators (in dollars). 1260, 1446, 1106, 1269, 1443, 1424, 1118, 1132, 1177, 1115, 1156, 1262, 1215, 1236, 1243, 1169, 1437, 1191, 1401, 1439, 1365 Answer Class 1093-1152 1153-1212 1213-1272 1273-1332 1333-1392 1393-1452 Price of Refrigerators (in Dollars) Frequency Relative Frequency Cumulative Frequency Step 3 of 4: Calculate the relative frequency of the sixth class. Determine your answer as a simplified fraction. Tables Keybe Previous
Consider the following data representing the price of refrigerators (in dollars). 1260, 1446, 1106, 1269, 1443, 1424, 1118, 1132, 1177, 1115, 1156, 1262, 1215, 1236, 1243, 1169, 1437, 1191, 1401, 1439, 1365 Answer Class 1093-1152 1153-1212 1213-1272 1273-1332 1333-1392 1393-1452 Step 2 of 4: Determine the frequency of the first class. Price of Refrigerators (in Dollars) Frequency Relative Frequency Cumulative Frequency Tables
The following table shows the annual income, in dollars, and amount spent on vacation, in dollars, for a sample of 8 families. Income 41,100 53,000 27,400 34,400 65,800 98,100 72,000 56,700 Vacation 2,700 2,400 1,700 2,500 2,800 5,100 4,200 3,200 (a) Create a scatterplot of the data in the table. (b) Describe the association shown in the scatterplot created in part (a). (c) Calculate the coefficient of determination for the data, and interpret the value in context.
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
Consider the following data representing the price of plasma televisions (in dollars). 1260, 1355, 1156, 1297, 1054, 1225, 1375, 1244, 1281, 1138, 1368, 1075, 1373, 1126, 1067, 1285, 1119, 1209, 1150, 1208, 1284 Class 1034-1093 1094-1153 1154-1213 1214-1273 1274-1333 1334-1393 Frequency Price of Plasma Televisions (in Dollars) Class Boundaries Midpoint Relative Frequency Copy Data Cumulative Frequency Step 6 of 7: Calculate the relative frequency of the third class. Determine your answer as a simplified fraction.
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.
490 undergraduate students at a state university in the southwestern region of the United States were surveyed. Each student in the sample was classified according to class standing (freshman, sophomore, junior, or senior) and body are category (body piercings only, tattoos only, both tattoos and body piercings, no body art). Use the data in the accompanying table to determine if there is an association between class standing and body art category. Assume that it is reasonable to regard the sample as representative of the students at this university. Use α = 0.01. 1. What type of question is this-estimation or hypothesis?2. What type of study is this sample data or experiment data?3. What type of data is this? Univariate or bivariate? Categorical or Numerical?4. How many samples or treatments?
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
The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members. We conduct a simple regression of size on hhinc, now using robust standard errors.The regression output is reported in Table 2. Why are the estimated coefficients inTable 2 equal to the estimated coefficients in Table 1? Do the conclusions on thestatistical significance at 5% of the coefficient of…

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