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Profiling UK rental malls. An analysis of the retail rental levels of tenants of United Kingdom regional shopping malls was published in Urban Studies (June 2011 ). One aspect of the study involved describing the type of tenant typically found at a UK shopping mall. Data were collected for 148 Shopping malls, which housed 1,821 stores. Tenants were categorized into five different-size groups based on amount of floor space: anchor tenants (more than 30,000 square feet), major space users (between 10,000 and 30,000 sq. ft.), large standard tenants (between 4,000 and 10,000 sq. ft. ), small standard tenants (between 1,500 and 4,000 sq. ft.), and small tenants (less than 1,500 sq. ft.). The number of stores in each tenant category was reported as 14, 61, 216, 711, and 819, respectively. Use this information to construct a Pareto diagram for the distribution of tenant groups at UK shopping malls. Interpret the graph.
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Statistics for Business and Economics (13th Edition)
- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardThe Federal Bureau of Investigation (FBI), as part of its internal security mission, serves as a database for all the reported crimes committed in the United States. One question that might be of interest is does having more police officers reduce the number of homicides? To investigate this claim, the 2013 data from the twenty largest municipal cities was supplied by the FBI's Uniform Crime Report. Below are two observations from the dataset: > head (cities) City Pop Homicides Police Density MedHome Mayor 1 New York 8175.133 335 4.2595 27016.30 5.5390 1 2 Chicago 2695.598 414 4.4309 11843.58 1.8310 The variables included in the study are: Name of city Population of city in 1,000s of people Number of homicides in the year 2013 Number of police officers per 1,000 people Number of people per square mile Median home price in $100,000 1 if city has a "Strong Mayor" form of government; 0 if not City Рор Homicides Police Density MedHome Мayor Model: log(u;) = Bo + B1Police; + B2MedHome; +…arrow_forwardA report provided an overview of the complaints about airlines received by the Department of Transportation. The table below gives the number of complaints received by type of complaint for the years 2014 and 2015. 2014 Number of 2015 Number of Type of Complaint Complaints Received Complaints Received Flight Problems 4,204 5,406 Baggage Handling 1,728 2,050 Reservations, Ticketing, Boarding 1,276 1,807 Customer Service 1,301 1,728 Fares 699 1,300 Other 2,257 2,769 Suppose that one of these complaints is randomly selected for a follow-up interview. Use the given information to estimate the following probabilities. (Round your answers to three decimal places.) (a) the probability that a complaint made in 2014 was about baggage handling (b) the probability that a complaint made in 2015 was not about flight problems (c) the probability that two complaints made in 2015 were both about flight problems (d) the probability that a complaint made in 2014 was either about flight problems or…arrow_forward
- Organizations such as J.D. Power and Associates use the proportion of owners likely to repurchase a particular automobile as an indication of customer loyalty for the automobile. An automobile with a greater proportion of owners likely to repurchase is concluded to have greater customer loyalty. A study was conducted to compare the customer loyalty for three automobiles: Chevrolet Impala, Ford Fusion, and Honda Accord. The study contained 500 respondents and the data is summarized in the Microsoft Excel Online file below. Use the spreadsheet to perform the required calculations and hypothesis test.arrow_forwardIn marketing children’s products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist among advertisements for different types of products. A number of children under 10 years of age are asked to watch one 60-second commercial for one of three types of products, and their attention spans are measured in seconds. The results are shown in the accompanying table: Type of Product Advertised Toys/Games Food/Candy Children’s Clothing 42 55 30 45 58 35 48 52 42 40 60 32 50 57 38 c). Explain the significance of the Tukey’s analysis and how it works. Explain all aspects of the analysis very carefully. d). At 5% level of significance, use the Tukey’s multiple comparison method to determine which types of product differ in terms of the actual average attention span.…arrow_forwardIn marketing children’s products, it is extremely important to produce television commercials that hold the attention of the children who view them. A psychologist hired by a marketing research firm wants to determine whether differences in attention span exist among advertisements for different types of products. A number of children under 10 years of age are asked to watch one 60-second commercial for one of three types of products, and their attention spans are measured in seconds. The results are shown in the accompanying table: Type of Product Advertised Toys/Games Food/Candy Children’s Clothing 42 55 30 45 58 35 48 52 42 40 60 32 50 57 38 b). What type of error is possible and describe this error in terms of the problem.arrow_forward
- The St. Lucian Government is interested in predicting the number of weekly riders on the public buses using the following variables: • Price of bus trips ~er week • The population in the city • The monthly income of riders • Average rate to park your personal vehicle Number of weekly riders 192,000 Population of city 1,800,000 1,790,000 Price per week Monthly income of riders Average parking rates per month City $15 $5,800 $50 $6,200 $50 190,400 191,200 $15 $15 1,780,000 $6,400 $60 4 $25 $6,500 $60 177,600 176,800 1,778,000 1,750,000 1,740,000 5 $25 $6,550 $60 6. 178,400 $25 $6,580 $70 7 180,800 $25 1,725,000 $8,200 $75 175,200 174,400 $30 $30 1,725,000 $8,600 $8,800 8 $75 9. 1,720,000 $75 10 173,920 $30 1,705,000 $80 $9,200 $9,630 $10,570 $11,330 $11,600 S11,800 $11,830 $12,650 S13.000 1,710,000 1,700,000 11 172,800 163,200 $30 $80 12 $40 $80 13 161,600 $40 1,695,000 1,695,000 1,690,000 $85 14 161,600 160,800 $40 $100 15 $40 $105 1,630,000 1,640,000 1,635,000 16 159,200 $40 $105 17…arrow_forwardCustomer database A large philanthropic organizationkeeps records on the people who have contributed totheir cause. In addition to keeping records of past giving, the organization buys demographic data on neighbor-hoods from the U.S. Census Bureau. Eighteen of these variables concern the ethnicity of the neighborhood ofthe donor. Here are a histogram and summary statisticsfor the percentage of whites in the neighborhoods of500 donors:a) Which is a better summary of the percentage ofwhite residents in the neighborhoods, the mean orthe median? Explain.b) Which is a better summary of the spread, the IQR orthe standard deviation? Explain.c) From a Normal model, about what percentage ofneighborhoods should have a percent white within onestandard deviation of the mean?d) What percentage of neighborhoods actually have apercent white within one standard deviation of themean?e) Explain the discrepancy between parts c and d.arrow_forward1 2 3 4 5 6 7 8 9 _0 1 2 3 _4 5 6 _7 8 9 20 21 22 23 24 25 26 27 28 29 30 31 52 53 4 35 36 37 38 39 10 11 12 13 14 15 16 47 18 19 50 51 52 53 54 A Income ($1000s) 54 30 32 50 31 55 37 40 66 51 25 48 27 33 65 63 42 21 44 37 62 21 55 42 41 54 30 48 34 67 50 67 55 52 62 64 22 29 39 35 39 54 23 27 26 61 30 22 46 66 B Household Size 3 2 4 5 2 2 1 2 4 3 3 4 1 2 3 4 6 2 1 5 6 3 7 2 7 6 1 2 5 4 2 5 6 2 3 2 3 4 2 1 4 3 6 2 7 2 AUANN 2 4 5 4 с Amount Charged ($) 4,016 3,159 5,100 4,742 1,864 4,070 2,731 3,348 4,764 4,110 4,208 4,219 2,477 2,514 4,214 4,965 4,412 2,448 2,995 4,171 5,678 3,623 5,301 3,020 4,828 5,573 2,583 3,866 3,586 5,037 3,605 5,345 5,370 3,890 4,705 4,157 3,579 3,890 2,972 3,121 4,183 3,730 4,127 2,921 4,603 4,273 3,067 3,074 4,820 5,149 D E F G H I J Karrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillFunctions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage LearningBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt