prepared questionnaire is used to get direct response from the customers of BIG BAZAAR‚ CHENNAI. The response given by the customer of big bazaar‚ Chennai were analyzed and interpreted using different types of statistical tools like percentage analysis‚ chi square‚ t - test. After analysis and interpretation‚ the study revealed that majority of the respondents have expressed a very positive attitude towards the variables used in the questionnaire to find the effectiveness of training which enabled them
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“UK Open-Ended Mutual Funds Industry pre and post the Global Financial Crisis: Performance Persistence and Return Attribution” By Dimitris Xydias Abstract This dissertation project tests the persistence in performance of a survivorship bias controlled sample of 574 UK Open-End Mutual Funds for the period between 31/12/1999 and 31/12/2011 and decomposes the funds’ returns into factors. The former is done by employing both parametric and non-parametric approaches to identify persistence and the
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the analysis‚ a range of tickets matching a specified criterion were found. The constraint was that these tickets could be offloaded to first level support (SOC ) but were not. To quantify the results‚ a Six Sigma statistical analysis tool called a chi-square goodness-of-fit test was performed twice on a nonrandom sample of GIRS tickets to validate our constraints. The results showed significant evidence that an increase in head count to establish a dedicated eRoom support team is justified and that
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Analysis of Home Safety of the Elderly Living in City and Rural Areas 1.Absract Physiological changes and chronic diseases arising during aging process increase risk of accident of the elderly‚ especially the elderly living alone at their homes. Home accidents are the most commonly health problem in the elderly. This study was carried out to describe home safety of the elderly living in a city or rural area using a home safety checklist. 512 living in Turkey (330 in city; 182 in rural area)
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(Non-parametric Tests) Chapter-11: Testing of Hypothesis - (Non-parametric Tests) 2 11.1. Chi - square ( χ )Test / Distribution 2 11.1.1. Meaning of Chi - square ( χ )Test 2 11.1.2. Characteristics of Chi - square ( χ )Test 2 11.2. Types of Chi - square ( χ )Test / Distribution 2 11.2.1. Chi - square ( χ )Test for Population Variance 2 11.2.2. Chi - square ( χ )Test for Goodness-of-Fit 2 11.2.3. Chi - square ( χ )Test or Independence 11.3. Analysis of Variance (ANOVA) 11.3.1. Meaning
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INTRODUCTION LITERATURE REVIEW The current economic crisis has become a major concern of all nations today. It has led policymakers and economists to rethink about the instrument for economics stability. One of the most damaging consequences of this crisis is the consumption instability‚ which negatively affects risk adverse agents’ welfare. As mentioned by Athahasoulis and van Wincoop (2000) as well as Pallage and Robes (2003)‚ consumption instability could have detrimental consequences for
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traits were counted. e.g in this experiment coloured and colourless. If the results obtained is close enough to the expected ratio to be acceptable as a significant result. (Observed results fit the expected results) Alternative hypothesis - If the observed data does not fit the expected data the results obtained were not significant. (Ratio observed are so far off the ratios expected) Genetic diagram A = Coloured allele. a = Colourless allele. Parents’ phenotype Coloured X
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learners are expected to: a. Determine what statistical treatment is all about. b. Choose their own right statistics in analysing their data. c. Follow the steps involving statistical treatment. d. Interpret the data involving tabulation. e. Provide answers to the drills. II. Outline of Content: A. Statistical treatment of data. B. Treatment of Data and Distribution C. Measures of Central Tendencies a. Mean‚ b. Median‚ c. Mode. D. Frequency and percentage
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D. X = 15‚ Q1 = 0‚ Q2 = 0‚ Q3 = 0 16-6. Using the regression equation‚ which of the following values is the best forecast for the number of contracts in the third quarter of 2009? A. 133352 B. 421697 C. 49091 D. 1482518 Note. The derivation of chi-squared statistic (approximation) Let O1 ~ b(n‚ p1 )‚ where 0 p1 1. According to the Central Limit Theorem‚ O1 np1 d Z N(0‚1) np1 (1 p1
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Elementary Concepts in Statistics Overview of Elementary Concepts in Statistics. In this introduction‚ we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one’s general understanding of the "quantitative nature" of reality
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