• Defining What Statistics Really Is 1.1 Nature of Statistics The term “Statistics” came from the Latin word ‘status’ which could be translated as ‘state’. The usage of this term only became popular during the 18 th century where they defined Statistics as “the science of dealing with data about the condition of a state or community”. The practice of statistics could be traced back even from the early biblical times where they gather figures related to governance of the state for they realized
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Rivermore College This is a mean-variance optimization case. Software needs: Spreadsheet optimizer (Excel Solver) or use a commercial package. Concepts: performance evaluation with historical data‚ forecasting asset returns‚ portfolio choice with input uncertainty. Computer skills: development and/or use of a mean-variance optimizer Case Roberta Tyler consultants to several university investment offices around the country. She specializes in asset allocation studies. She has accumulated
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Chapter 1 The Problem and Its Background Introduction Changes are permanent thing on earth. Are the people is ready enough to accept the changes on the educational system? The current opening of classes here in the Philippines usually starts from June to March but our lawmakers want to amend the opening of classes. The existing school calendar which spans from June to March is often disrupted as destructive typhoons plague the region during the rainy season that’s why our lawmakers decided to
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ECO 72 INTRODUCTION TO ECONOMIC STATISTICS Topic 2 Measures of Central Tendency These slides are copyright © 2003 by Tavis Barr. This material may be distributed only subject to the terms and conditions set forth in the Open Publication License‚ v1.0 or later (the latest version is presently available at http://www.opencontent.org/openpub/). Measures of Central Tendency This chapter looks at three different concepts of how we describe a “typical” element of a data set. Mean
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from the selected value and dividing by the standard deviation. The Normal Probability Distribution Find an example of application of probability theory in your workplace or business. Show that the reasons that your workplace uses probability analysis‚ such as probability of risk calculations or percent defects or percent for pass or fail of a
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EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
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STATISTICS PROJECT The balance is a interval‚ numerical and continuous variable. The ATM is a ratio‚ numerical‚ discrete variable. Services is a ratio‚ numerical‚ discrete variable. Debit‚ interest and city are a categorical‚ nominal variable. As the graph‚ shows below‚ the balance of the typical customer‚ otherwise known as the mean is equal to 1499.87. 12 customers have more than $2‚000 in their account. This number is relatively high because the account balances tend to cluster
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in year 1 is period 1‚ quarter 2 in year 1 is period 2‚ and so on. So for quarters in year 6‚ the period will be 21‚ 22‚ 23 and 24. Then we used dummy variable for quarters. (See Table 1 in Appendix A) With these modified data‚ we ran a regression analysis and got the equation: Occupancy Rate = 0.558 + 0.00504 Period + 0.136 Quarter2 + 0.202 Quarter3 - 0.0035 Quarter4 Forecast for quarters in year 6 Quarter 1: 0.66384 (Rate= 0.558+0.00504*21) Quarter 2: 0.80488 (Rate = 0.558+0.00504*22+0.136*1)
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Standard deviation is the square root of the variance (Gravetter & Wallnau‚ 2013). It uses the mean of the distribution as a reference point and measures variability by considering the distance of each score from the mean. It is important to know the standard deviation for a given sample because it gives a measure of the standard‚ or average‚ range from the mean‚ and specifies if the scores are grouped closely around the mean or are widely scattered (Gravetter & Wallnau‚ 2013). The standard deviation
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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%. BUSSTAT prepared by CSANDIEGO A portion of 2 distribution BUSSTAT prepared by CSANDIEGO Test for a Single Variance Used to test a claim about a single variance‚ should
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