"Standard deviation" Essays and Research Papers

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    Smallest Value Range = 67 – 23 Range = 44 To find the standard deviation: σ = √∑ (X - µ)2 N σ = √∑(X – 40.84) 2 = √5291.36 = √211.65 = 14.55 25 25 Exercise 82* a. To find the mean cost: X = ∑fM = 7‚060 = $141.20 N 50 b. To find the standard deviation: s = √∑f (M - X)2 = √33‚728 = √688.33 = 26.24 n – 1 50 - 1 c. To find the proportion of costs within two standard deviations of the mean: X ± 2s 141.2 + 2(26.24) = 193.68 141

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    Introduction Pocket Money is not just representing how much money that teenagers’ get; it also represents teenagers’ buying tendency‚ marketing size of teenagers‚ their finance method and possible reasons of stress because of financial problem. It’s worth to make a statistic on the topic teenager’s pocket money‚ for the reference of further studies on social research. In this report‚ the following data would be collected and analyzed. Firstly‚ we want to compare the pocket money teenagers how

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    12/21/2013 VIETNAM NATIONAL UNIVERSITY – HOCHIMINH CITY INTERNATIONAL UNIVERSITY SCHOOL OF BUSINESS ADMINISTRATION ------o0o------ CHAPTER 14: CHI-SQUARE TESTING STATISTICS FOR BUSINESS TAs: Vo Vuong Van Anh‚ Le Phuoc Thien Thanh‚ and Le Nhat Ho December 21‚ 2013 TABLE OF CONTENTS • PART I: CHI-SQUARE TESTING FOR GOODNESS-OF-FIT. • PART II: CHI-SQUARE TESTING FOR NORMAL DISTRIBUTION. • PART III: CHI-SQUARE TESTING FOR INDEPENDENCE. December 2013 Powered by Vo Vuong Van Anh 2 1 12/21/2013

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    Nt1310 Unit 3 Case Study

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    the first and third quartile Moreover‚ height had the largest standard deviation‚ making the spread of the data quite wide and somewhat more scattered compared to the other two sets of data In contrast‚ right cubit length had the smallest variance‚ making the data less spread out‚ less scattered compared to the heights of people Also‚ right cubit length had the smalls standard deviation making the spread of the data less spread

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    Sport Obermeyer

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    *Sport Obermeyer:* Case Analysis Pratyusha Lakshmi Puranam Executive Summary: Obermeyer offers a broad line of fashion ski apparel‚ including parkas‚ vests‚ ski suits‚ shells‚ ski pants‚ sweaters‚ turtlenecks‚ and accessories. Parkas are considered the most critical design component of a collection; the other garments were fashioned to match the parkas’ style and color. Their products were offered in five different genders: men’s‚ women’s‚ boys’‚ girls’‚ and preschoolers’. The company

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    Zhou Bicycle Case Study

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    2 when we have uncertainty when reorder point and total cost Given Customer Service level = 9.5% Mean demand per week = annual demand / no of week = 439/52 = 8.44 unit. Mean monthly demand = 36.58 unit Standard Deviation of demand = 25.67 Lead time = 4 weeks Standard deviation of demand during lead time = mean demand per week * root of Lead time = 8.44*root of 4 = 16.88 Safety Stock = F-1 (CSL) * std. Dev. Of Demand during lead time Safety stock (ss) = F-1(

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    for their rainmaker tire. The warranty is for 40‚000 kilometers. The tire company believes that the tire actually lasts more than 40‚000 kilometers. A sample 49 tires revealed that the mean number of kilometers is 45‚000 kilometers with a standard deviation of 15‚000 kilometers. What is the null hypothesis and alternative hypothesis? ii) It is claimed that in a bushel of peaches less than ten percent are defective. A sample of 400 peaches is examined and 50 are found to be defective. What is

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    Spss Code Book Sample

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    Research_Indivitual ass ignament_42403693.sav Qnaire_no Value Standard Attributes Position Label Type Format Measurement Role Valid Values 1 2 3 4 5 6 7 8 1 Questionnaire No. Numeric F11 Nominal Input 1 1 1 1 1 1 1 1 12.5% 12.5% 12.5% 12.5% 12.5% 12.5% 12.5% 12.5% Count Percent Page 1 A1 Value Standard Attributes Position Label Type Format Measurement Role N Valid Missing Central Tendency and Dispersion Mean Standard Deviation Percentile 25 Percentile 50 Percentile 75 Labeled Values 1 2 3

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    highest annual average return of 17.7%. The Russell 2000 had the second highest annual return with a standard deviation of 14.1% & 17.2%. Treasuries and bond returns were a poor performer relative to the other assets which were in-line with our group’s anticipations. However‚ the MSCI Index reported a lower return than the treasuries and bonds along with the second greatest standard deviation. Events such as‚ Russia’s sovereign debt default in 1998‚ which ultimately brought down LTCM likely increased

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    Central Tendency

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    What is central tendency? Explain  three important measures of central  tendency?     • Measures of central tendency are scores that  represent the center of the distribution. Three of the most common measures of central  tendency are: – • Mean Median Mode – – The Mean The mean is the arithmetic average of the scores. – Mean is the average of the scores in a distribution _ X = _________ i N Σ Xi Mean Example Exam Scores  75 91 82 78 72 94 68 88

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