Dre aspect of a study involved descrbing the type of tenant typically found at a shopping mal. Data were collected for 134 shopping mals, which housed 1,937 stores. Tenants were categoriaed based on amount ofoor space anchor tenants (more than 30,000 square feet, denoted by A), major space users (between 10,000 and 30,000 sg f, denoted by MS), large standard tenants (between 4,000 and 10,000 sg t. denoted byS), small standard tenants (between 1,500 and 4,000 sq n, denoted by $5), and small tenants (less than 1,500 sqt denoted by S). The number of stores in each tenant category was reported as 74, 20, 20, 721,nd 824, respectively. Use this information to construct a Pareto diagram for the distribution of tenant groups at shopping mals. Interpret the graph.Construct a Pareto dagram for the dataOB.OA.10001000500s00Tye of TenantType of TenartOD.Oc10001000s00soType of TenantType of TenartInterpret the Pareto diegramOA Most stores in shopping mals are small tenants or lanrge standard tenantsOB. Few stores in shopping malls are small standard tenants or anchor tenantsOc. Few stores in shopping malls are major space users or smal tenantsOD. Most stores in shoppeng mals are small tenants or smal standard tenants

Given Type of Tenant Frequency A 74 MS 296 LS 20 SS 721 S 824

Answered: Dre aspect of a study involved…

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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Find the quartiles (Q1, Q2, Q3) of the data set shown below:D ={98, 88, 78, 99, 84, 80, 62, 44, 49, 70, 33, 35}Answer must be rounded off in two decimal placesNO spaces between charactersAnswer format: Q1=22.99/Q2=25.00/Q3=31.21
A study was conducted at a local college to analyze the average cumulative GPAs of students who graduated last year. In each of the following situations, identify the population, Statistic, Parameter, Variable, Data and the Sample. a) all students who attended the college last year b) the cumulative GPA of one student who graduated from the college last year c) 3.65, 2.80, 1.50, 3.90 d) a group of students who graduated from the college last year, randomly selected e) the average cumulative GPA of students who graduated from the college last year f) all students who graduated from the college last year g) the average cumulative GPA of students in the study who graduated from the college last year
Several methods of estimating the number of seeds in soil samples have been developed by ecologists. An article gave the accompanying data on the number of seeds detected by the direct method and by the stratified method for 27 soil specimens. Specimen Direct Stratified 1 21 7 2 34 38 3 0 7 4 60 58 5 20 54 6 61 61 7 40 27 8 7 7 9 14 7 10 94 100 11 1 0 12 67 58 13 78 67 14 21 54 Specimen Direct Stratified 15 34 27 16 0 0 17 38 38 18 18 14 19 94 94 20 1 14 21 40 47 22 21 21 23 0 0 24 7 14 25 14 40 26 18 14 27 40 78 Do the data provide sufficient evidence to conclude that the mean number of seeds detected differs for the two methods? Test the relevant hypotheses using ? = 0.05. (Use ?direct − ?stratified.) Find the test statistic. (Round your answer to two decimal places.) t = Find the df. (Round your answer down to the nearest whole number.) df = Use technology to find the P-value. (Round your answer to four…
State the estimated coefficient for time and its interpretation. Also, state what the coefficient of determination is and its interpretation.
A college student is interested in whether presoaking time has an effect on cleanliness of clothing. He collects the dirty clothes from all of the people in his dorm and randomly assigns clothing to one of four presoak time conditions: 5 minutes, 10 minutes, 15 minutes, 20 minutes. He then asks members of another dorm to rate the cleanliness of the items (they don’t know which clothing got which soaking time). The data are presented below. C) Perform an LSD test and answer the questions that follow (SHOW ALL WORK!!! This can be on the same page as your other ANOVA hand work. Make sure it is inserted and/or uploaded): df error = tcrit (df error) MS error = s = LSD = _____________ Mean Comparisons: Mean5 min vs. Mean10 min = | ___ __ | = ___ ___ Greater than (>) LSD value? __ ___ Significant?__ ___ Mean10 min vs. Mean15 min = |__________________| = ______ Greater…
Several methods of estimating the number of seeds in soil samples have been developed by ecologists. An article gave the accompanying data on the number of seeds detected by the direct method and by the stratified method for 27 soil specimens. Specimen Direct Stratified 1 21 6 2 32 38 3 0 6 4 60 58 5 20 52 6 61 61 7 40 26 8 6 6 9 12 6 10 92 100 11 1 0 12 66 58 13 78 66 14 21 52 Specimen Direct Stratified 15 32 26 16 0 0 17 38 38 18 18 12 19 92 92 20 1 12 21 40 46 22 21 21 23 0 0 24 6 12 25 12 40 26 18 12 27 40 78 Do the data provide sufficient evidence to conclude that the mean number of seeds detected differs for the two methods? Test the relevant hypotheses using ? = 0.05. (Use ?direct − ?stratified.) Find the test statistic. (Round your answer to two decimal places.) t = Find the df. (Round your answer down to the nearest whole number.) df = Use technology to find the P-value. (Round your answer to four…
A recent poll revealed the political affiliations of 205 Americans, along with the region of the country in which they reside. Political Affiliation Democrat Independent Republican Northeast 14 26 12 Region Southeast 13 23 17 West 34 37 29 If you wish, you may download the data in your preferred format. CrunchIt! CSV Excel JMP Mac Text Minitab PC Text R SPSS TI Calc To test whether region of residence and political affiliation were related, one of the pollsters computed a chi-squard statistic, x = 3.4318, with four degrees of freedom and set an alpha (a) level of 0.05. Determine the P-value of the chi-square statistic in this test for independence and report it to at least three decimal places. You will need to use some kind of software (statistical package or calculator that does statistical computations) to get the P-value that precisely. P%3D
please answer the question - answer is not
calculate the z-score of the data
Brunt, Rhee, and Zhong (2008) surveyed 557 undergraduate college students to examine their weight status, health behaviors, and diet. Using body mass index (BMI), they classified the students into four categories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting the number of different foods each student ate from several food groups. Note that the researchers are not measuring the amount of food eaten, but rather the number of different foods eaten (variety, not quantity). Nonetheless, it was somewhat surprising that the results showed no differences among the four weight categories that were related to eating fatty and/or sugary snacks.Suppose a researcher conducting a follow up study obtains a sample of n = 25 students classified as healthy weight and a sample of n = 36 students classified as overweight. Each student completes the food variety questionnaire, and the healthy-weight group produces a mean of µ = 4.01 for the fatty,…

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