A study of crowd-funded projects showed that overall a majority were successful, that is, raised at least the targeted goal amount. In an effort to identify project types that influence success, selected projects were subdividedinto project categories (Film & Video, Games, Music, and Technology).a. Construct contingency tables based on total percentages, row percentages, and column percentages. Complete the following contingency table based on total percentages.OutcomeNot successfulCategorySuccessfulTotal- X15.35 %36.28 %Crowdfunded project dataFilm & Video20.93 %Games4.27 %9.68 %13.95 %Music17.22 %18.84 %36.07 %OutcomeSuccessful Not successful20,5049,48418.4638,77257,223Technology4.75 %8.95 %13.70 %CategoryFilm & VideoTotal35,54813.66835,33713,42597,97858.40 %15,0444,18416,8744,65340,755Total41.60 %100 %(Simplify your answers. Round to two decimal places as needed.)GamesMusicComplete the following contingency table based on row percentages.TechnologyTotalOutcomeNot successful%Total%CategorySuccessful%%%Film & VideoGames%PrintDoneMusic%Technology%Total%%%(Simnlifv vour answers Round to two decimal nlaces as needed)

Introduction: It is required to obtain the row percentages and column percentages for the…

Answered: A study of crowd-funded projects showed…

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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House prices: The following table presents prices, in thousands of dollars, of single-family homes for 20 of the 25 largest metropolitan areas in the United States for the third quarter of 2012 and the third quarter of 2013 (information for Detroit was unavailable), Metro Area 2012 2013 Metro Area 2012 2013 Atlanta, GA 878 115.1 Philadelphia, PA 193.5 197 7 Baltimore, MD 218.1 226.5 Phoenix, AZ 129,9 169.0 Boston, MA 311.5 332.2 Portland, OR 208.6 246.5 Chicago, IL 157.2 159.4 Riverside, CA 174.3 216.7 Cincinnati, OH 112.5 121.0 St. Louis, MO 103.7 111.0 Houston, TX 152.1 163.7 San Diego, CA 359.5 412.3 Los Angeles, CA 122.1 155.1 San Francisco, CA 448.0 593.9 Miami, FL 182.0 219.9 Seattle, WA 265.4 312.6 Minneapolis, MN 147.3 170.6 Tampa, FL 131.9 141.8 New York, NY 363.8 368.2 Washington, DC 311.6 348.7 Source: National Realtors Association Send data to Excel (a) Find the mean and median price for 2012. Round the answers to at least two decimal places. (b) Find the mean and median…
The Census Bureau Web site gives several choices for "average income" in its historical income data. In 2006, the median income of American households was $48,201. The mean household income was $66,570. The median income of families was $58,407, and the mean family income was $77,315. The Census Bureau says, “Households consist of all people who occupy a housing unit. The term ‘family’ refers to a group of two or more people related by birth, marriage, or adoption who reside together.” Identify the reason for mean incomes for households being higher than median incomes for households.
please provide CORRECT answers! Thank you.
Virginia polled a large sample of individuals to find the percentage of students with known food allergies and the percentage of students without known food allergies. Which of the following could sufficiently display the data if only the two given categories are to be included? Select the correct answer below: bar graph pie chart either a pie chart or a bar graph neither a pie chart nor a bar graph
An insurance company offers four different deductible levels-none, low, medium, and high-for its homeowner's policyholders and three different levels-low, medium, and high-for its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, the proportion of individuals with both low homeowner's deductible and low auto deductible is 0.05 (5% of all such individuals). Auto L M H Homeowner's N L M H 0.04 0.05 0.05 0.02 0.07 0.12 0.20 0.10 0.02 0.03 0.15 0.15 Suppose an individual having both types of policies is randomly selected. (a) What is the probability that the individual has a medium auto deductible and a high homeowner's deductible? (b) What is the probability that the individual has a low auto deductible? A low homeowner's deductible? auto deductible homeowner's deductible (c) What is the probability that the individual is in the same category for both auto and homeowner's…
A nutritionist estimates that 57% of her patients stick to the eating plan she helps them design. She also knows that 53% of her patients are diabetic. Additionally she knows that 22.79% of her patients are diabetic and are not sticking to the eating plan she helped them design. (a) What proportion of her patients are not sticking to the eating plan she helped them design? (b) What proportion of her patients are diabetic? (c) Within the nutritionist's patients, being diabetic and not sticking to the eating plan she helped design are which of the following? O dependent O independent
A study of crowd-funded projects showed that overall a majority were successful, that is, raised at least the targeted goal amount. In an effort to identify project types that influence success, selected projects were subdivided into project categories (Film & Video, Games, Music, and Technology). Click the icon to view the crowdfunded project data. a. Construct contingency tables based on total percentages, row percentages, and column percentages. Complete the following contingency table based on total percentages. Outcome Not successful 20.88% 8.42% Category Film & Video Successful 18.00 % Games Music 7.17% 13.74 % 19.82 % Technology 4.14% 7.85 % Total 43.04 % 56.96 % (Simplify your answers. Round to two decimal places as needed.) Complete the following contingency table based on row percentages. Outcome Not successful 20.88% % % % Total 38.88 % 15.58 % 33.56 % 11.98 % 100 % Successful % % % Category Film & Video Games Music Technology % Total % % (Simplify your answers. Round to two…
Razor LLC has a data warehouse that is used by several analytics groups. The data warehouse consists of a number of distinct components, including a cloud server (99.999% availability), a database management system server (99.4%), an analytics logic server (94.7%), and, of course, the network infrastructure to the cloud server, which has an availability of 99.9%. What is the overall availability of the system, expressed as a percentage with three digits of precision? For example, enter 91.223, but do not enter a percent symbol, i.e., do not enter 91.223%
The percentage of employees who cease their employment during a year is referred to as employee turnover, and it is a serious issue for businesses. The following table shows the cost, in millions of dollars, to a certain company for a given employee turnover percentage in a year.
The following table shows a weighted score card your company uses to compare projects against each other. A team of experts reviewed the business cases for three projects and gave them scores on a scale of 1 to 5 in each particular area. Criteria Weight Proj A Proj B Proj C Project A Weighted Score Project B Weighted Score Project C Weighted Score Strategic Alignment 5 5 2 4 ROI 4 3 5 1 Stakeholder Interest 2 2 2 5 Low Risk 1 4 2 1 Legal Compliance 3 3 5 4 What is the total weighted score for each project? (3 points) What is the average weighted project score for each project? (3 points) Which project should you choose and why? (3 points)
An insurance company offers four different deductible levels-none,low, medium, and high-for its homeowner's policyholders and threedifferent levels-low, medium, and high-for its automobilepolicyholders. The accompanying table gives proportions for the variouscategories of policyholders who have both types of insurance. Forexample, the proportion of individuals with both low homeowner'sdeductible and low auto deductible is .06 (6% of all such individuals). Homeowner's Auto N L M H LMH .04.07.02 .06.10.03 .05.20.15 .03.10.15 Suppose an individual having both types of policies is randomlyselected.a. What is the probability that the individual has a medium auto deductible and a high homeowner's deductible?b. What is the probability that the individual has a low autodeductible? A low homeowner's deductible?c. What is the probability that the individual is in the samecategory for both auto and homeowner's deductibles?d. Based on your answer in part (c), what is the probability…

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