Introduction Learning goals ❖ What is meant by Statistics ❖ What is meant by Descriptive Statistics and Inferential Statistics ❖ Difference between Parameter & Statistic ❖ Types of Statistical Inferences What is meant by Statistics ? Statistics is the science of collecting‚ organizing‚ presenting‚ analyzing‚ and interpreting numerical data to assist in making more effective decisions. Types of Statistics Descriptive Statistics : • Methods of organizing‚ summarizing‚ and presenting
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are two main branches of statistics that include descriptive statistics and inferential statistics.Descriptive statistics gives numerical measures that describes the features of a given set of data. Inferential statistics on the other hand takes a sample of a given population‚ analyses the sample‚ and from it draw conclusions about the population .Malcolm.O.Asadoorian and Demetrius Kantarelis in their book: Essentials of inferential statistics argue that descriptive statistics organize ‚ summarize and
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Statistics in Business QNT/351 William Modey Quantitative Analysis for Business Salonyia Fisher Summary Statistics is accurately defined as the study of the analysis‚ data collection‚ and organization of the data which is interpreted by a particular business field. Statistics main focus is usually dealing with the preparation procedure of the data collection in the course of developing surveys and creating experiments. When an organization uses statistics‚ it needs to be taken into consideration
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Course: Applied Statistics 3.00 Credit Hours‚ fall 2014‚ ADP (Accounting and finance) Instructor: Sonia Iqbal Email: Sonia.iqbal@uogsialkot.edu.pk INTRODUCTION 1.1 Meaning of Statistics:- Statistics is a subject consisting of rules‚ methods and techniques of collecting data and presenting large amount of numerical information. It is also used to draw inference about the population on the basis of sample For example‚ to check the performance of a student is being studied. Data will be collected
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Hind sight is 20/20 vision. If we knew then what we know now‚ would we have done anything differently? Sadly we’ll never know and throwing our hands up in the air and shouting “boo” and “atrocities” or “lets punish Japanese and American commanders‚ naval officers‚ and flight lieutenants” will be of no use whatsoever. Afterall‚ what is done is done. We can’t undo it. Now all we can do is move forward carefully‚ having learned from the horrors of the past. America was the “new‚ rich kid” country‚
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In my thesis‚ I will analyze three websites on obesity statistics in the United States. The analysis of each website will contain how they function as sources‚ their strengths and weakness. The first source on obesity statistics is from the National Conference of State Legislatures (NCSL). This website is for policymakers to give them access to research‚ technical assistance and opportunities to exchange ideas on state issues. This information captures the basic overview where obesity occurred in
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QM2 Project Case Study 1- Consumer Characteristics Index Sno Title Page.no 0 | Introduction | 3 | 1 | Summarizing data using Descriptive Statistics | 4-6 | 2 2.1 2.2 | Estimated regression equations. Independent Variable- Annual Income. Independent Variable- Household Size | 7 8 9 | 3 | Better predictor of annual credit card charges | 10 | 4 | Independent variables- Annual income and Household size | 11 |
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Exercise 5-57 Assume there are 23 homes in the Quail Creek area and 9 of them have a security system. Four homes are selected at random: | (a) | What is the probability all four of the selected homes have a security system? (Round your answer to 4 decimal places.) | Probability | | (b) | What is the probability none of the four selected homes have a security system? (Round your answer to 4 decimal places.) | Probability | | (c) | What is the probability at least one
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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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Uses of Statistics HCS/438 August 2‚ 2011 Mike Janson Uses of Statistics The use of statistics has been proven to assist the understanding of information‚ data‚ in many ways. Statistical information is not just collected‚ but it is also organized and quantified‚ providing a clearer picture for further study. This writer will explain how statistics are used in my personal workplace‚ and describe aspects of the statistics used. Statistics in Personal Workplace My personal workplace is what
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