An IT company is planning to introduce a new product. In order to predict itssales, they release the test version of the product to a group of early-access users.Each user is asked to give a score for the product from 0 to 100. If a user's scoreis greater than 50, then the user is classified as a potential buyer.a) Suppose you are a researcher and can collect any data as you wish. Brieflydiscuss what data you would collect, and how you would collect them. Whatdistribution would be the best choice to model the score? What distributionwould be the best choice to model being a potential buyer? Be sure to definerandom variables clearly. Give reasons for your answer.b) The manager decided that if more than 80% of users are classified as potentialbuyers, they will release the product. How would you conduct a hypothesistest? Make assumptions if you need.Please give some detailed reasons, i will be very very appreciate!!!!!

An IT company is planning to introduce a new product These product sales are predicted based on a…

Answered: An IT company is planning to introduce…

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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You may need to use the appropriate technology to answer this question. A poll tracks the favorite sport of Americans who follow at least one sport. Results of the poll show that professional football is the favorite sport of 33% of Americans who follow at least one sport, followed by baseball at 15%, men's college football at 10%, auto racing at 6%, men's professional basketball at 5%, and ice hockey at 5%, with other sport at 26%. Consider a survey in which 344 college undergraduates who follow at least one sport were asked to identify their favorite sport produced the following results: Professional Football 113 Baseball 37 Men's College Football 48 Auto Racing 12 Men's Professional Basketball 8 Ice Hockey 19 Other Sports Find the p-value. (Round your answer to four decimal places.) p-value = 107 Do college undergraduate students differ from the general public with regard to their favorite sports? Use a = 0.05. State the null and alternative hypotheses. O Ho: Undergraduate students…
15 wheelchair users were randomly assigned to three groups with 5 in each group. These participants navigated in virtual-reality settings. Group 1 participants were in the virtual-reality setting (a building) as wheelchair users. Group 2 participants were in the virtual-reality setting in a wheelchair pushed by a walking person. Group 3 participants walked without aid in the virtual-reality setting. Joan measured the time each participant needed to complete the navigation of the virtual-reality setting. What is the independent variable(s)?
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You may need to use the appropriate technology to answer this question. The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains.† One of the variables in the study is meal price, the average amount paid per person for dinner and drinks, minus the tip. Suppose a reporter for a local newspaper thought that it would be of interest to her readers to conduct a similar study for restaurants located in her city. The reporter selected a sample of 8 seafood restaurants, 8 Italian restaurants, and 8 steakhouses. The following data show the meal prices ($) obtained for the 24 restaurants sampled. Italian Seafood Steakhouse $13 $15 $24 14 19 18 16 18 22 17 25 24 17 22 21 19 16 23 16 18 26 32 11 34 Use ? = 0.05 to test whether there is a significant difference among the mean meal price for the three types of restaurants. State the null and alternative hypotheses. H0: ?Italian = ?Seafood = ?SteakhouseHa:…
Would you like a cup of tea? Carole and Julius are getting ready to open a new cafe and are gathering up information about sales of different drinks in their state. They obtain data containing the yearly sales (in $1000s) for three types of tea: Darjeeling, Earl Grey, and Green Tea. A boxplot of the data and a histogram of the sales for all three teas combined is shown below. Note: Clicking on any image in this problem will open it in a new window, allowing you to enlarge the view. Tea Sales by Product Combined Tea Sales Darjeeling Earl Grey Green Tea 100 200 300 400 Product Sales in $1000 Part 1: Use the plots above to make quantitative comparisons and answer the following questions: Quantity A: The 75th percentile (Q3) of Sales for Darjeeling Tea Quantity B: The 75th percentile (Q3) of Sales for Green Tea Quantity A is greater Quantity A: The median of Sales for Darjeeling Tea Quantity B: The median of Sales for Green Tea Quantity B is greater 00€ 007 Frequency > 000 008 007 Sales in…
The relative effectiveness of two different sales techniques was tested on 12 volunteer housewives. Each housewife was exposed to each sales technique and asked to buy a certain product, the same product in all cases. At the end of each exposure, each housewife rated the technique with a 1 if she felt she would have agreed to buy the product and a 0 if she probably would not have bought the product. Tech 1 2 3 4 1 1 1 2 0 1 1 1 1 0 5 6 7 8 9 10 1 Housewife 0 0 0 0 0 Test Ho: P₁=p₂ versus H₂: P₁ P₂ Use large sample approximations and compare results. 0 0 1 1 1 0 11 12 01 0 1 a) Use Cochran's test b) Rearrange the data and use McNemar's test c) use Fischer exact test d)Ignore the blocking effect in this experiment and treat the data as if 24 difference housewives were used.
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State if these variables would be expected to have a positive, negative, or no association. A. Number of schools and population size. o Positive Negative No association B. Income and number of health conditions. Positive o Negative No association C. Time spent meditating and stress level. Positive o Negative No association D. Number of pets and amount of money spent on printer ink. Positive Negative o No association E. Life expectancy and death rate. Positive Negative o No association
A campus researcher wanted to investigate the factors that affect visitor travel time in a complex, multilevel building on campus. Specifically, he wanted to determine whether different building signs (building maps versus wall signage) affect the total amount of time visitors require to reach their destination and whether that time depends on whether the starting location is inside or outside the building. Three subjects were assigned to each of the combinations of signs and starting locations, and travel time in seconds from beginning to destination was recorded. How should the data be analyzed? Wall Signs Map Starting Room Interior 141, 119, 238 85, 94, 126 Randomized block design O Completely randomized design 2 x 2 factorial design Levene's test Exterior 224, 339, 139 226, 129, 130
A 2009 Pew Research Center survey asked a sample of 1,504 adults living in the United States for their opinions on recent technological advancements, such as online shopping, cell phones, and social networking. Respondents categorized each advancement as a change for the worse, hasn't made much difference, a change for the better, or don't know. A summary of respondents' opinions on the Internet follows: Response Change for the worse Hasn't made much difference Change for the better. Don't know Percent of Respondents 16 11 65 8 Make a bar graph of the relative frequency distribution of the responses.
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