November 19‚ 2010 NAME: The Statistics of Poverty and Inequality TYPE: Sample SIZE: 97 observations‚ 8 variables DESCRIPTIVE ABSTRACT: For 97 countries in the world‚ data are given for birth rates‚ death rates‚ infant death rates‚ life expectancies for males and females‚ and Gross National Product. SOURCES: Day‚ A. (ed.) (1992)‚ _The Annual Register 1992_‚ 234‚ London: Longmans. _U.N.E.S.C.O. 1990 Demographic Year Book_ (1990)‚ New York: United Nations. VARIABLE DESCRIPTIONS: Columns 1 -
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Answer: True Difficulty: Medium 2. When testing the difference between two proportions selected from populations with large independent samples‚ the Z test statistic is used. Answer: True Difficulty: Medium 3. In forming a large sample confidence interval for [pic]‚ two assumptions are required: independent samples and sample sizes of at least 30. Answer: True Difficulty: Medium 4. In testing the equality of population variances‚ two assumptions are required: independent samples and
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City June 19‚ 2013 ------------------------------------------------- June 26‚ 201 ------------------------------------------------- Abstract In this experiment‚ different statistical concepts; such as Q-test‚ Mean‚ Standard Deviation‚ Range‚ and Confidence interval were used to determine the weight variations in samples. Mass of ten 25-centavo coins was determined using analytical balance‚ treating each as single samples. The values were then divided into two data sets. From this experiment‚ it can
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Foreign exchange rate risk Foreign exchange rate risk is the potential impact of adverse currency rate movements on earnings and economic value. This involves settlement risk which arises when a banking institution incurs financial loss due to foreign exchange positions taken in both the trading and banking books. Foreign exchange positions and subsequent risk arise from the following activities: ● trading in foreign currencies through spot‚ forward and option transactions as a market
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will use the two previous columns and add together using a formula that will add the two previous cells together. In excel using the formula =I2+H3. Next‚ I ran the confidence intervals for the previous found data. For the Upper confidence level I used the excel formula =C17-(1.96) * (SQRT (COUNT (H2:H11))) and the lower confidence level I used the excel formula =C17-(1.96) *(C18/SQRT
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Descriptive statistical Report on Coca Cola fill ( Case Study ) PROBLEM STATEMENT: Reports show Variations while bottling the fluid Content of 200 milliliter in the newly introduced bottles at the Coca Cola factory in Russia Using Descriptive Statistical Analysis we need to assess the probability of satisfaction for the customer and the company. OBJECTIVE: To find the variation and its effects from the random sample of 50 bottles of 200 ml filled at the Coca cola factory in Russia and
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Joseph Wakile Math 110-04 December 12‚ 2014 Final Paper Height vs. Shoe Size I chose two quantitate variables in this study in order to see if they had any linear relationship. The dependent (response) variable was a person’s shoe size in united states meaurements and the independent (explanatory) variable was person’s height in inches. I chose these two variables because I assume before the study that there would be appositive linear relationship between height and shoe size. In other words‚ the
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October 14‚ 2013 [SANDEEP MAHAPATRA‚ 42982160 & WENQIAN ZHANG‚ 43260865 ] ASSIGNMENT COVER SHEET Every piece of written work you submit for assessment must have this cover sheet attached. Please type in your details then copy and paste to the front of your assignment and save the file ready to upload. COURSE DETAILS Course Code: ECON7300 Course Name: Statistics for Business and Economics Course Coordinator: Dr Temesgen Kifle Assignment Due Date: 12noon‚ Monday 14 October
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CHAPTER 10 HYPOTHESIS TESTING MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions‚ please circle the correct answer. 1. If a researcher takes a large enough sample‚ he/she will almost always obtain: a. virtually significant results b. practically significant results c. consequentially significant results d. statistically significant results ANSWER: d 2. The null and alternative hypotheses divide all possibilities into: a. two
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determining the averages and standard deviation of each day’s data and then the 95% upper limit. This 95% point will be the RHS for the calls needed to be answered each day. a) Enter your DATA from PHONE.xls for your GROUP# into the worksheet WEEKLY and determine the averages of the phone calls for each day of the week‚ the standard deviation‚ and the upper limit (UL) of the 95% confidence interval (UCL) for the data to provide a 95% probability of service (UCL=avg+z*stdev). Why do some of the values
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