"Quartile deviation" Essays and Research Papers

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    LCCI International Qualifications Level 2 Certificate in Business Statistics Syllabus Effective from 1st October 2001 For further information contact us: Tel. +44 (0) 8707 202909 Email. enquiries@ediplc.com www.lcci.org.uk 1 1 INTRODUCTION EDI is a leading international awarding body that was formed through the merger of the London Chamber of Commerce and Industry Examinations Board (LCCI) and GOAL‚ a leading online assessment provider. EDI now delivers LCCI International qualifications

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    s1 notes

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    boundary). When question says “give a reason to justify the use of a histogram to represent these data” The answer is “Data is continuous”. Box-Whisker Diagrams: Main features & uses of Box Plots: Indicates max / median / min / upper quartile/ lower quartile. Indicates outliers. Illustrates skewness Allows comparisons Indicates range / Interquartile range / spread Mathematical Modelling in Statistics: A mathematical model is a simplification of a real world situation

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    Research Method

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    class after modal class h= Class width The inter-quartile range X_(25=) 10+((20-8) )/((27-8) ) × 5 =10+12/19 ×5 =13.16 X_(50=) 15+((40-27) )/((49-27) )×5 =15+(13 )/(22 )×5 =17.95 X_(75=) 20+((60-49) )/((62-49) )×5 =20+((11) )/((13) )×5 =24.23 Interquartile range = X_(75 ) - X_25= 24.23-13.16=11.07 Lower quartile is define as X_(25 )and upper quartileX_75. The standard deviation S= √( (〖(MI)〗^2×f)/(n-1)-x^(-2)=√(34400/79)) -〖19〗^2

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    Manzana Insurance Case

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    95% SCT is the time during which 95% of the requests should be taken care of. The company assumes that the variability of the processing time has the normal distribution‚ which has the characteristic that with a mean of processing time (µ)‚ and a deviation (σ)‚ 95% of the requests should be finished within (µ+2σ) approximately. In this way the variability has been considered in the calculation of 95% SCT‚ so as in the TAT. But this method of calculating variability is not a good metric to measure.

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    Activity 17.1(1 only) In the first part of this activity‚ you will generate some data that should have an approximately normal (or bell-shaped) distribution. In the second part‚ you will use the definition of standard deviation and compare the standard deviations for two different data sets. 1. Work with a partner to generate the following data. a. Toss 10 coins and record the number of heads you obtained. 5 b. Repeat this 24 more times until you have a list of 25 numbers

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    jmp) Submitted by: Garima Agrawal (Section D) (Student name or group name) Group Member Name | PG ID | Garima Agrawal | 61410506 | Question1: The data for home values has a considerable wide range (429578) as compared to the inter-quartile range (93522). This means the data has a huge spread and the same can be verified from coefficient of variation which is even more than 41%. Besides‚ as can be seen from graphical plot and the positive skewness (0.87) measure‚ the data is skewed

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    Buad 310 Cheat Sheet

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    * Categorical variable: the category with the highest frequency * Numerical variable: location of a major peak of the distribution * Mean = center of mass = the balance point * Define first quartile to be the median of the observations below the median * Define third quartile to be the median of the observations above the median * The interquartile range IQR is Q3 - Q1 * * Coefficient of Variation: defined as the ratio of SD to the mean‚ has no units‚ usually is

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    Acct 5210 Problem Set 1

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    FINA 5210 Problem Set 1 (Group 305) Problem 1 (a) WpC=[E(rp)-rf] ÷Aσp2 =6%÷2.5×(20%)2 =60% WfC=100% - 60% = 40% (b) Expected return of Complete portfolio is: rCEc= WpC×E(rp)+ WfC×rf =60%×10% + 40%×4% =7.6% The standard deviation of Complete portfolio is: σc = WpC × σp = 60% × 20% = 12% Certainty-equivalent rate of return for investing in C: rc CE= Uc = rCEc- 1/2Aσc2 = 7.6% - 0.5×2.5×12%2 = 5.8% Certainty-equivalent rate of return for investing in P: rp CE= Up= rCEp- 1/2Aσp2

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    Statistics 101 Quiz

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    5.23 Let x be a normally distributed random variable having mean = 30 and standard deviation . Find the z value for each of the following observed values of x: In each case‚ explain what the s value tells us about how the observed value of x compares to the mean 5.29 Weekly demand at a grocery store for a brand of breakfast cereal is normally distributed with a mean of 800 boxes and a standard deviation of 75 boxes‚ a. What is the .probability that weekly demand is (1) 959 boxes or less? (2) More

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    MBA 676 Final Practice Problems Comments: Some of these problems were done as homework and some I solved in class. I would like you to review them. I will give you similar problems. I may also assign you some problems from Project scheduling after we cover it tomorrow. 1. Keith Shoe Stores carries a basic black dress shoe for men that sells at an approximate constant rate of 500 pairs of shoes every 3 months. Keith’s current buying policy is to order 500 pairs each time an order is placed

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