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    Statistics Cheat Sheet

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    Statistics Cheat Sheet Proportion = Frequency x 100 = Percentage Total No | Z score (standardised value)-how many sds from the mean the value liesZ score = data value – mean Standard deviation | Metric Data = ExploreCategory = Frequencies | Bigger sample size will give a narrower confidence interval range (more specific) outliers affect the mean but not the median – this is why the median is preferred here.mean | | Reports -Only give confidence

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    Economic Statistics

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    Introduction The current state of the world economy is quite uncertain. Economic statistics that governments and other financial institutions use to project the economy imply that the world economy is shrinking. Since 2008‚ the state of the American economy has not been attractive. For instance‚ the United States economy has not registered any significant growth for the last three years. The 2011 second quarter results indicated that gross domestic product improved by 1%. At the same time‚ there

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    Statistics Chi Square

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    Objectives: Learn the uses of Chi-Square test in making inferences for given population(s) BUSSTAT prepared by CSANDIEGO Chi-Square 2‚  used  to test hypotheses concerning variances  for test concerning frequency distributions  to test the independence of two variables  The chi-square variable cannot be negative and the distributions are positively skewed. At about 100 d.f.‚ the distribution becomes symmetrical. The area under each chi-square distribution is equal to 1 or 100%

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    Gage Repeatability and Reproducibility (Gage R&R) is the amount of measurement variation introduced by a system of measurement that consists of a measuring instrument itself and the individuals using it. It quantifies three things: 1. Repeatability – variation from the measurement instrument 2. Reproducibility – variation from the individuals using the instrument 3. Overall Gage R&R‚ which is the combined effect of both of the above The Gage R&R is normally expressed as a percentage of the tolerance

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    Bafs Exercises

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    Exercises for Chapter 1 1. Ming started a business with $3‚000 cash. He used $1‚200 of the cash to buy office equipment. (a) Find the assets‚ capital and liability of Ming’s business. Assets: Cash ($1‚800) & Office equipment ($1200) Capital: $3‚000 Liability: $0 (b) What is the amount of total resources in Ming’s business? A. $3‚000 B. $6‚000 C. $1‚800 D. $4‚800 2. ‘Total assets must equal to total capital plus total liability.’ Do you agree? Why? Yes‚ resources owned by a firm (assets) must be either

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    Inferential Statistics Jaceilia Ajanaku QNT/561 April 29‚ 2015 Patricia Towne Inferential Statistics Inferential statistics can be used to qualify certain data analysis figures. These figures can be mostly found in descriptive statistics. As stated in previous research‚ the situation at hand is a human resource firm being able to acquire new personnel and process them to be ready for employment. The most important issue is the time between dates of hire to the date the personnel actually begin

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    Elementary Statistics

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    Chapter I Introduction HISTORY The late Florentino Cayco‚ Sr.‚ first Filipino Undersecretary of Public Instruction and illustrious educator‚ conceptualized the birth and administered the growth of Arellano University. This prestigious institution of learning opened in 1938 as the Arellano Law College‚ named after Cayetano Arellano‚ first Filipino chief justice. It closed in December 1941 until March 1945 under the Japanese occupation of the Philippines during World War II. At the end

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    Official statistics

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    Examine the reasons why some sociologists choose to use official statistics when conducting research. Firstly‚ official statistics are a source of secondary quantitative data which are gathered by the government or other official bodies. Many reasons for their use by sociologists when conducting research stems from the fact that they are a form of secondary data; meaning that they are not collected by the sociologist themselves. This makes them high in practicality‚ representativeness and reliability

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    Descriptive statistics

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    Professor Dumonceaux Descriptive Statistics Paper 2 June 2014 Finding a New Home According to Trochim‚ “Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis‚ they form the basis of virtually every quantitative analysis of data” (Trochim‚ 2006). For many years‚ many studies and researches have been done in real estate market. Buyers need to conduct researches

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    Importance of Statistics

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    Subject Areas Use of Statistics 1. World of Sports • Enter results from the different tournaments around the world • Research projects to improve the quality of the game and keep the fans interested • provide analysis on players and team strategy‚ as well as tackle larger research projects • statistical t tools include basic regression analysis‚ logistic regression‚ Monte Carlo simulation‚ classification‚ and hierarchical regression 2. Education • Statistics provides simple yet instant information

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