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    by Maris would be considered an outlier‚ although an exceptional individual achievement. 2.13[LO 5] a b N 10 7 MEAN 20 503 MEDIAN 20 501 MODE 20 501 2.15[LO 5] a. b. Yes‚ because x  6 . 5 .2  5 .3  5.25 2 The mean is slightly larger than the median. The stem-and-leaf display is somewhat skewed right. median  2.17 [LO 3‚ 5] a. mean = 272.333; median = 68 (Canada’s value)

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    Gm 533 Project Part a

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    This will measure tendency‚ variation‚ mean‚ median and mode. Descriptive Statistics: Size Mean 3.42 Standard Error 0.24593014 Median 3 Mode 2 Standard Deviation 1.73898868 Sample Variance 3.02408163 Kurtosis -0.7228086 Skewness 0.52789598 Range 6 Minimum 1 Maximum 7 Sum 171 Count 50 Frequency Distribution: Size Frequency 1 5 2 15 3 8 4 9 5 5 6 5 7 3 The mean household size of the customers is given as 3.42. The median of the data is 3 and the mode is 2. The standard

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    by 3 percent. While the number of people who have graduated with a professional degree or a bachelors degree have increased from 2000- 2010 by 4 percent. This census is from the population of people 25 and up. The median income for a household in the county was $61‚907‚ and the median income for a family was $75‚540 (these figures had risen to $62‚308 and $79‚589 respectively as of a 2009

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    38% 4. with a combined score greater than 375 is 19.68% to 48.50% 2. Find a 95% confidence interval for the proportion of all acceptable students with a combined score less than the median (356) who choose Harrigan’s rival over Harrigan. Do the same for those with a combined score greater than the median. ANSWER:

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    East Coast Yachts Company Case Study Group 4 Julie Ciarlante Mary Kathryn LoConte Ivy Perez David Zhu East Coast Yachts Background • ECY started in 2002 as a Limited Liability Company (LLC) with the mission of creating custom‚ high performance yachts for the pleasure sailor. • A commitment to safety‚ reliability and customer satisfaction helped the company grow steadily for the first seven years in business. • In 2009‚ the economic downturn and credit crunch hit the boat industry

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    Ch 4: Return on Invested Capital 1. Drivers of Return on Invested Capital ROIC = (1-Tax Rate)*((Price per Unit-Cost per Unit)/Invested Capital per Unit) A company with a competitive advantage will have a higher ROIC because it either can charge a premium price or can produce at a more efficient cost. The structure-conduct-performance (SCP) framework is the strategy model that underlies our thinking about what drives competitive advantage and ROIC. The structure of an industry influences the

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    Case 2: Gulf Real Estate Properties. Please provide a Managerial Report that includes: 1. Appropriate descriptive statistics to summarize each of the three variables for the forty Gulf View condominiums 2. Appropriate descriptive statistics to summarize each of the three variables for the eighteen No-Gulf View condominiums 3. Comparison of your summary results from #1 & #2. Discuss any specific statistical results that would help a real estate agent understand the condominium market. 4. A 95%

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    Statistic Definitions

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    The levels of measurement from the lowest to the highest level are nominal‚ ordinal‚ interval‚ and ratio Variables measured at the nominal level of measurement are at the lowest level and must follow three rules: (1) the data categories must be exhaustive (each datum will fit into at least one category identified by the researcher)‚ (2) the data categories must be exclusive (each datum will fit into only one category)‚ and (3) the data cannot be rank ordered. Nominal data differ from ordinal data

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    | 1. | | | 2. | | | . | | | . | | | . | | | 50. | | | Table 1 (a) (i) Find the mean‚ mode‚ and median of the pulse rate after the step board activity for the 50 students. (ii)Compare the pulse rate before the step up board activity of students in your school with a standard pulse rate. Give your comment. (b) Find the mean‚ mode‚ and median of the pulse rate after the step up board activity for the 50 students. (c) Construct a frequency distribution table for

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    research provides statistical analysis for gross monthly sales in 60 stores using five key measures within a 10km vicinity: number of competitors‚ population in ‘000’s‚ average population income‚ average number of cars owned by households‚ and median age of dwellings. These quantitative variables are the key determinants‚ which will provide substance for descriptive statistics and the multiple linear regression model. This research reports mainly on statistical analysis‚ providing a direct

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