2013/3/31 Introduction: The Nature and Purpose of Econometrics Continuous and Discrete Data What is Econometrics? Literal meaning is “measurement in economics”. Definition of financial econometrics: The application of statistical and mathematical techniques to problems in finance and accounting. Continuous data can take on any value and are not confined to take specific numbers. Discrete data can only take on certain values‚ which are usually integers Types of Data Dummy
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KENYATTA UNIVERSITY DEPARTMENT OF ECONOMETRICS AND STATISTICS | INTERNSHIP REPORT | AT KENYA NATIONAL BUREAU OF STATISTICS DIRECTORATE OF POPULATION AND SOCIAL STATISTICS –SECTION OF EDUCATION STATISTICS | | BY WESLEY RUTTOH | | 2011 DECLARATION This is to declare that this internship report is my original work and has not been presented in any institution for any evaluation. This internship report is presented to the K.N.B.S
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Statistics for Management Unit 9 Unit 9 Testing of Hypothesis in Case of Large and Small Samples Structure: 9.1 Introduction Objectives Relevance Assumptions 9.2 Testing Hypothesis Null and Alternate hypothesis Interpreting the level of significance Hypothesis are accepted and not proved 9.3 Selecting a Significance Level Preference of type I error Preference of type II error Determine appropriate distribution for the test of Mean 9.4 Two–tailed Tests and One–tailed Tests
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Bibliography: McClave‚ J. T.‚ Benson‚ G. P.‚ Sincich‚ T. (2011). Statistics for business and economics (11th ed.). Boston MA: Pearson & Prentice Hall.
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BBA / BHTM 300 – STATIATICS II COURSE DESCRIPTION-STATISTICS-II Business statistics is a rich interactive learning experience designed to give students the basic intellectual tools and aptitudes they need to meet today’s business challenges The course is also aimed at equipping the students with the skills of real socio-economic processes‚ economic interpretation of analysed data‚ its applied statistic analysis‚ construction‚ identification and verification of statistical models of
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testing procedure used‚ describe the results of that test‚ and explain how those results will answer the team’s previously stated research question. Null and Alternative Hypotheses Forming the null and alternative hypothesis is an important part of statistics. Looking at housing data set provided by the text (Lind‚ Marchal‚ & Wathen‚ 2011) Team C wanted to know if the square footage of the house is directly related to the price of the home‚ and decided to make that the null hypothesis. The alternative
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hours?) (a) Use the steps of hypothesis testing. (b) Sketch the distributions involved‚ (c) Explain your answer to someone who has never taken a course in statistics. Answer Null hypothesis H0: = 24 hours Alternative hypothesis: H1: ≠ 24 hours Df = 7 Critical t value = ±2.36 Sample Mean = 25 Standard deviation = 1.195 The test statistic used is P-value = 0.049867231 Since calculated p-value 0.049867231 is slightly less than 0.05(significance level) therefore we reject the null hypothesis
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published Examples Statistics from police headquarters Graphs – to compare the number of crimes men make against women over time Why did you choose this method? It gives the availability of measuring the history of men and women committing crimes Positives Easy to access Time consuming Cheap Objective to the study (leave emotions out of the study) Negatives Not all crimes are reported which could mean the statistics could be invalid Can only look at statistics from a small minority
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An estimated regression coefficient is 10 with a standard error of 5. The null hypothesis is that the partial regression coefficient equals zero. What is the value of the t-statistic for testing the null hypothesis of the regression coefficient? Choose one answer. | a. 2 | | | b. 0.5 | | | c. 5 | | | d. 1 | | Correct Marks for this submission: 1/1. Question 2 Marks: 1 Given the demand function in log-linear form: Q = 120 - 1.5P + 12ADV where Q = quantity‚ P = price‚ and ADV
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measurement data must be utilized. The task of evaluating the latest performance measures and aligning business strategy accordingly pose serious challenges to managers who must balance daily business demands with long-term strategic goals. The use of statistics to meet these goals and to design a comprehensive performance analysis is vital. For example‚ consider the research around employee held corporations (ESOP) such as Southwest Airlines. An analysis of the performance of such companies finds that
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