Subject CT3 Probability and Mathematical Statistics Core Technical Syllabus for the 2014 exams 1 June 2013 Subject CT3 – Probability and Mathematical Statistics Core Technical Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in the aspects of statistics and in particular statistical modelling that are of relevance to actuarial work. Links to other subjects Subjects CT4 – Models and CT6 – Statistical Methods: use the statistical concepts
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Frequency Distribution (A) Introduction 1. Ungrouped data versus grouped data Ungrouped data (Raw data): It is a list of individual observed values of the random variable Grouped data (a frequency distribution): It is a table that displays the data in grouping along with the number of occurrences that fall into each group. 2. The components of a frequency distribution a. Class limits: They identify the inclusive values in a class of a frequency distribution The
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Sullivan‚ the author demonstrates the maxim "form follows function" with copious evidence provided from scholars in different fields. Declared through Horatio Greenough‚ every embellishment without reference to inner distribution is "false beauty‚" which means ornamental motifs concentrate on more aesthetic than practical should be totally abandoned. The twelve and thirteen paragraph discusses Gothic architecture style profoundly as a pointed example. Found on the argumentation of viollet-Le-Duc who
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is a set of instructions to be followed to solve a problem Worst‚ Average and Best Cases In the previous post‚ we discussed how asymptotic analysis overcomes the problems of naive way of analyzing algorithms. In this post‚ we will take an example of Linear Search and analyze it using asymptotic analysis. We can have three cases to analyze an algorithm: 1) Worst Case 2) Average Case 3) Best Case WORST CASE ANALYSIS (USUALLY DONE): In the worst case analysis‚ we calculate upper
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31 THE RETAIL DISTRIBUTION CHANNEL C H A P T E R 2 Early in 2005‚ IBM Business Consulting Services released a survey that compiled in-depth interviews with more than 100 sales‚ marketing‚ and merchandising executives at over 20 consumer products and retail companies. Only 9 percent of the retailers felt their suppliers had “a good understanding” of their business objectives. The gist of the survey was that retailers felt the product manufacturers have focused their efforts on the end
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Inequalities are equations that can be used to determine not just what something could equal but what something cannot equal. It tells us what the relative size is of two values and if they are big or small‚ too much or not enough. Inequalities could make it easier to determine how much someone might need of something in order to make a certain amount of something‚ while also determining how much more might be needed or how much be left. For example‚ if someone wanted to make cupcakes and flat cakes‚ they
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Sampling distribution The sampling distribution is the distribution of the values of a sample statistic computed for each possible sample that could be drawn from the target population under a specified sampling plan. Because many different samples could be drawn from a population of elements‚ the sample statistics derived from any one sample will likely not equal the population parameters. As a result‚ the sampling distribution supplies an approximation of the true value’s population parameters
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Probability Theory and Game of Chance Jingjing Xu April 24‚ 2012 I. INTRODUCTION Probability theory is the mathematical foundation of statistics‚ and it can be applied to many areas requiring large data analysis. Curiously‚ that the study on probability theory has its root in parlor games and gambling. In 17th century‚ dice gambling was a very common entertainment among the upper class. An
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An Introduction …………………………………………………………………………….. 2 2. The reason of why distribution is such a key element of IKEA’s value chain.. 2 3.1 Distribution System of IKEA ………………………………………………………………………… 2 3.2 Porter’s and IKEA modified value chain ……………………………………………………….. 2 3.3 Importance of distribution for IKEA value chain …………………………………………… 2 3. SMA techniques in IKEA for managing its distribution network ………………….. 3 4.4 Target costing ………………………………………………………………………………………………
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A FICO score is the credit score mathematically developed by the company FICO. It shows potential lenders the risk that they are taking lending to you. The score is on a range starting at 300 and ending at 850; the higher your credit score‚ the probability that you will be lent to‚ increases. The score itself is determined from credit reports that disclose the individual’s history of financial activity. Their gender‚ race‚ religion‚ nor age play a role. From most influential to least‚ it is composed
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