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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Introduction to Basic Statistics Pat Hammett‚ Ph.D. 2005 Instructor Comments: This document contains an overview of basic probability and statistics. It also includes a practice test at the end of the document. Note: answers to the practice test questions are included in an appendix. 1 Pat Hammett University of Michigan Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) .............
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There are many different ways to describe the data we collect and all are important when conducting business. The mean of a data set is the sum divided by the # of observations. Now saying exactly what a mean is can be helpful‚ applying it to the business world makes understanding it a lot easier. Mean can be used in a business environment by both tax offices and retailers when collecting income from a group of people; in this case both groups are interested in the total amount of money that happens
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Managerial Statistics Distinguish between primary data and secondary data? OBJECTIVE The main objective of this topic is to measure the degree of relationship between the variables under consideration.The correlation analysis refers to the techniques used in measuring the closeness of the relationship between the variables. DEFINITION Some important definitions of correlation are given below: 1. “Correlation analysis deals with the association between two or more variables”. ---- Simpson &
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life. Though my career progression in the banking system including joining the RBI was not as a statistician‚ I must confess that the analytical ability and articulation skill based on sound knowledge of statistics‚ which I developed during my academic career both as a student and teacher of Statistics at BHU‚ greatly
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1.stocks.xls data set For stock 1‚ the median was 0.0607‚ mean was 0.0286‚ the loss of investment can be as large as -0.5268‚ and the gain of the investment can be as large as 0.6015. However‚ the risk of loss was round 7%‚ while the chance to gain between 0 – 0.8 was very high‚ nearly 78%. For stock 2‚ the median was 0.0511‚ mean was 0.096413‚ the loss of investment can be as large as -0.9963‚ and the gain of the investment can be as large as 1.519. The risk to loss for stock 2 was about 12%‚
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Working Paper 05-47 Statistics and Econometrics Series 09 July 2005 Departamento de Estadística Universidad Carlos III de Madrid Calle Madrid‚ 126 28903 Getafe (Spain) Fax (34) 91 624-98-49 BAYESIAN INFERENCE FOR THE HALF-NORMAL AND HALF-T DISTRIBUTIONS M.P. Wiper‚ F.J. Girón‚ A. Pewsey* Abstract In this article we consider approaches to Bayesian inference for the half-normal and half-t distributions. We show that a generalized version of the normal- gamma distribution is conjugate to the
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| | | Rebecca RoyN8586799Tutor: Jenny Houtsma | [BSB123 - Data analysis research report] | Analyzing the relationships between different variables in relation to one year returns within the superannuation industry. | Contents 1.0 Introduction 2 2.0 Outliers 3 3.0 Historical Analysis 4 4.0 Current Data (One Variable Analysis 5 5.0 Bivariate and Trivariate Analysis 6 5.1 Impact of Investment Strategy on One Year Returns 6 5.2 Impact of Three Year Returns on One Year
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Standardized description of index numbers for application in generic index computation software modules 1 Photis Stavropoulos1‚ Georges Pongas2‚ Spyros Liapis1‚ George Petrakos1‚ Tonia Ieromnimon1 Agilis S.A. Statistics and Informatics‚ e-mail: Photis.Stavropoulos@agilis-sa.gr‚ Spyros.Liapis@agilis-sa.gr‚ George.Petrakos@agilis-sa.gr‚ Tonia.Ieromnimon@agilis-sa.gr 2 EUROSTAT‚ e-mail: Georges.Pongas@ec.europa.eu Abstract The aim of this paper is to present a scheme for the description of index numbers
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Mid-Exam for Statistics 2 for IBA 12 March 2013; duration: two hours It is NOT allowed to use a graphical‚ programmable calculator; only a simple pocket calculator is allowed. Write the answers to the questions on the attached answering form (on pages 7 and 8); only the answers‚ no derivations. (For this midterm‚ only the final answers to each individual question count.) This mid-exam contains 8 pages: 4 pages with information and three exercises‚ 1 page with a few formulae and 2 pages for
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