nWhole Foods is an all-natural grocery chain that has 50,000 square foot stores, up from the industry average of 34,000 square feet.Sales per square foot of supermarkets average just under $400 per square foot, as reported by USA Today in an article on "A wholenew ballgame in grocery shopping." Suppose that sales per square foot in the most recent fiscal year are recorded for a randomsample of 10 Whole Foods supermarkets. The data (sales dollars per square foot) are as follows: 854, 858, 801, 892, 849, 807, 894,863, 829, 815. Regard the sample of 10 sales figures for which s = 32.866 as a preliminary sample. How large a sample of sales figuresis needed to make us 95 percent confident that a, the sample mean sales dollars per square foot, is within a margin of error of $10 ofμ, the population mean sales dollars per square foot for all Whole Foods supermarkets? (Round your answer to the next wholenumber.)Click here for the Excel Data FileAND APPLICATIONSsales figures

It is given that confidence level is 0.95, the sample standard deviation is 32.866 and margin of…

Answered: APPLICATIONS Whole Foods is an…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A particular magazine identified the top accounting firms in 8 geographic regions across a certain country. Even though all 8 regions reported growth in the past year, region A and region B reported the highest combined growths, with 17% and 25%, respectively. A characteristic description of the accounting firms in these regions included the number of partners in the firm. The accompanying table contains data on the number of partners. Complete parts (a) through (d) below. E Click on the icon to view the data table. IMPORTANT NOTE: In all of these questions, there are 2 possible ratios A/B and B/AI Our convention is to always assume that the larger variance is in the numerator (i.e., on top). The correct answer will always be found in this fashion. Similarly, in questions about a critical value, we shall consider the right (upper) tail. a. At the 0.01 level of significance, is there evidence of a difference in the variability in numbers of partners for region A accounting firms and…
The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airines compete is on-time arrival. The file LateFlights contains a sample of data from delayed fights showing the number of minutes each delayed fight was late for two different airlines, Deita and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Delta 36 30 34 38 119 120 63 37 35 67 114 53 102 55 8 87 68 100 43 50 86 74 17 66 87 35 40 34 64 41 53 30 86 33 57 61 7. 46 52 26 70 62 75 54 80 a. Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. H1= population mean minutes late for delayed Deita flights Ha= population mean minutes late for delayed Southwest flights Ho: H- 2 Select your answer H.: -a -Select your answer b. What is the sample mean number of minutes…
Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
Use excel please
Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 137 Company C 9.0 102 Company D 5.5 39 Company E 4.2 40 Company F 3.3 30 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 T 160- 1601 140 140 140 120- E 120- 120- 100 100 100- 80 80 80 CO 60 60 60 40 40 40 20 20 20- 6 8 10 12 14 4 6 8 10 12 14 Cars in Service (1,000s). ● 4 6 8 10 12 14 Cars in Service (1,000) 4 Cars in Service (1,000) Ⓡ 0 4 6 8 10 14 O Cars in Service (1,000) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There…
Surveys always provide data that is 100% accurate from feedback from participants True or False
The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in eleven metropolitan areas across the upper Midwest region (OhioGasPrices.com website, March 18, 2012). Click on the datafile logo to reference the data. DATA file Shell BP Metropolitan Area Marathon Akron, Ohio Cincinnati, Ohio Cleveland, Ohio Columbus, Ohio Ft. Wayne, Indiana Indianapolis, Indiana Lansing, Michigan Lexington, Kentucky Louisville, Kentucky Muncie, Indiana Toledo, Ohio 3.77 3.72 3.87 3.76 3.78 3.87 3.89 3.79 3.83 3.83 3.85 3.77 3.83 3.85 3.93 3.84 3.84 4.04 3.87 3.87 3.99 3.79 3.78 3.81 3.69 3.78 3.84 3.84 3.83 3.79 3.79 3.86 3.86 Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. Round SS to 6 decimals, MS to 6 decimals, F to 2…
A social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. Age Years: How old they are in years? Income: Monthly Income Location: What country do they live in? Device: Do they use an iPhone, Samsung, other? Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect Hours: How many hours do they spend on the app per week. A) Which variable could the research construct a one proportion z-interval for? B) The social media app just launched a new algorithm that suggest content in an effort to increase the amount of time the user spends on the app. The researchers want to use the survey results to see if there is statistically significant evidence that on average users spend more than 10 hours per week on the social media app. The researchers found in their sample of 44 users, the mean hours spent on the app is 10.5 hours with a standard deviation of 5.675 hours. Which type of hypothesis test…
Coffee is a leading export from several developing countries. When coffee prices are high, farmers often clear forest to plant more coffee trees. Here are five years’ data on prices paid to coffee growers in Columbia and the percent of forest area lost in a national park that lies in a coffee producing region: Price (cents per pound) 29 40 54 55 72 Forest lost (%) 0.49 1.59 1.69 1.82 3.10 Question: Make a scatterplot. Which one is the explanatory variable, and which one is the response variable? What kind of pattern does your plot shows?
Practice question #3 Investigators want to know if those who work long hours have more trouble sleeping. In one sample of 190 British civil servants who worked more than 40 hours a week, 95 of them said they usually get less than 7 hours of sleep per night. In a second sample of 150 British civil servants who worked between 35 and 40 hours per week, 63 of them said they usually get less than 7 hours of sleep per night. The investigators believe these are represent samples of the populations. Find a 95% Confidence Interval for the difference in proportions of these two populations that get less than 7 hours of sleep per night. Then interpret the confidence interval. Be sure to check that any necessary conditions are met first. Round final answers to 3 decimal places. Verify conditions are appropriate for method: Interval: ________________________ Does the interval contain zero? __________ What does this information lead you to conclude?
In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income. Is being insured or not dependent on gender? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which gender is more at risk of not being insured if there is a significant difference.
4. Draw a line / curve of best fit for the following sets of data & identify if they are linear, quadratic or exponential: 2500 1500 1000 500 300 200 -100 25 50

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