1 More 0 Q1 Descriptive Statistics Excel Worksheet b Q2 d Q3 e Q4 b 5. For the following sample of scores: 2‚ 6‚ 1‚ 4‚ 2‚ 2‚ 4‚ 3‚ 2 Mean variance standard deviation 2.889 2.099 1.537 Find the mean‚ variance and standard deviation 6. A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What is the value for the new sample mean? New Sample Mean 7 7. Using Excel create a histogram and a line graph using
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MATH533: Applied Managerial Statistics PROJECT PART C: Regression and Correlation Analysis Using MINITAB perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X)‚ by answering the following questions: 1. Generate a scatterplot for SALES vs. CALLS‚ including the graph of the "best fit" line. Interpret. After interpreting the scatter plot‚ it is evident that the slope of the ‘best fit’ line is positive‚ which indicates that sales amount varies directly
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Math Studies Spring 2013 Table of Contents: Introduction/Purpose……………………………………………………………..p.3 Data Collection Method……………………………………………………….....p. 3 - 4 Data Analysis: Chi-Squared Statistic Frequency Table…………………………………………………………p. 4 - 5 Contingency Table……………………………………………………….p. 5 – 6 Chi – Squared Statistic…………………………………………………...p. 7 Degrees of Freedom………………………………………………………p. 7 Critical Value……………………………………………………………..p. 7 – 8 Conclusion……………………………………………………………………
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Chi-square tests 1. INTRODUCTION 1.1 χ2 distribution and its properties A chi-square (χ2) distribution is a set of density curves with each curve described by its degree of freedom (df). The distribution have the following properties: - Area under the curve = 1 - All χ2 values are positive i.e. the curve begins from 0 (except for df=1) increases to a peak and decreases towards 0 as its asymptote - The curve is skewed to the right‚ and as the degree of freedom increases‚ the
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The Chi-Square (x2) Goodness-of-Fit Test: What It Is and What It Does The chi-square (x2) goodness-of-fit test is used for comparing categorical information against what we would expect based on previous knowledge. As such‚ it tests what are called observed frequencies (the frequency with which participants fall into a category) against expected frequencies (the frequency expected in a category if the sample data represent the population). It is a non-directional test‚ meaning that the alternative
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Applied Linear Regression Notes set 1 Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa‚ AL 35487-0348 Phone: (205) 348-4431 Fax: (205) 348-8648 September 26‚ 2006 Textbook references refer to Cohen‚ Cohen‚ West‚ & Aiken’s (2003) Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. I would like to thank Angie Maitner and Anne-Marie Leistico for comments made on earlier versions of these notes. If you
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and Data Analysis 2.2.1 Basic Statistics Your calculation for basic statistics must be in Excel and compute the mean‚ median‚ standard deviation. Also‚ you must develop a histogram using Excel. 1 EQT 271 Engineering Statistics 2.2.2 Linear regression and correlation In linear regression‚ you should follows those instructions: 1. Choose one pair variables‚ first create the scatterplot (using Excel). Do this by simply plotting one variable as the x –axis and the other y-axis. Based on the
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in researching and preparing this book. Also I would like to thank Dorothy Cummings; my editor‚ Jeff Soloway; Lauren Goldberg; and everyone else at Facts On File who helped prepare this volume. iv INTRODUCTION China covers nearly 4 billion square miles in Asia‚ roughly 14 percent of the world’s landmass. It has grasslands and deserts‚ a long coastline‚ and some of the highest mountains in the world. Its rich river
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Small sample testing: Chi square‚ t and F distributions and their properties. Applications of chi square and t distributions to interval estimates and tests. UNIT 2 : CLASSICAL TWO VARIABLE LINEAR REGRESSION MODEL Types of Data : Time Series‚ Cross Section and Panel Data. Concept of PRF and SRF. Estimation of the SRF using OLS. Analysis of variance and R squared. Understanding the residuals/error term. Assumptions of the model. Expectation and standard errors of the regression coefficients and the
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1. Chi-square Goodness-of-fit Tests Jake is trying to invest his money in stock market‚ is not sure that he could earn a profit or lose his money when he invests to an AT&T company’s stock or a stock market index‚ Dow Jones Industry Average. So he called his friend who works at financial consulting company and heard that the monthly positive and negative investment returns on AT&T and Dow Jones Industry Average were historically almost the same. However the economic situation recently has been getting
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