The word ’Statistics’ is derived from the Latin word ’Statis’ which means a "political state." Clearly‚ statistics is closely linked with the administrative affairs of a state such as facts and figures regarding defense force‚ population‚ housing‚ food‚ financial resources etc. What is true about a government is also true about industrial administration units‚ and even one’s personal life. The word statistics has several meanings. In the first place‚ it is a plural noun which describes a collection
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Research and statistics for managerial decision making Assignment 1 Mohammed Ahmed Ali 0170026 1.1 Four different beverages are sold at a fast food restaurant: soft drinks‚ tea‚ coffee‚ and bottled water. Explain why
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plan describes how to use sample data to evaluate the null hypothesis. The evaluation often focuses around a single test statistic. Analyze sample data. Find the value of the test statistic (mean score‚ proportion‚ t-score‚ z-score‚ etc.) described in the analysis plan. Interpret results. Apply the decision rule described in the analysis plan. If the value of the test statistic is unlikely‚ based on the null hypothesis‚ reject the null hypothesis. Decision Errors Two types of errors can result
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ASSIGNMENT: Ethics in Statistics There are a number of possible ways in which unethical behavior can arise in statistics and researchers should steer clear of these. It is relatively simple to manipulate and hide data‚ projecting only what one desires and not what the numbers actually speak‚ thus giving birth to the famous phrase “Lies‚ damned lies and statistics”. However‚ this doesn’t happen all the time and there is no reason not to believe in the conclusions of a statistical analysis (Siddharth
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behind falling math proficiency in the United States and suggesting measures that might be taken to improve the situation 3. Bayesian Statistics - Theory and Decision Making a. Investigating the conceptual and theoretical underpinnings of the analysis of complex data set using Bayesian models and comparing it to the traditional tools of mathematical statistics 1. Mathematics of Financial Markets a. Introducing the field of financial engineering or the study of applied mathematics that focuses
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Statistics means different things to different people. According to the Merriam-Webster Dictionary‚ Statistics is the practice or science of dealing with the collection‚ analysis‚ interpretation‚ and presentation of numerical data. Basic statistic data are collected by statisticians or mathematicians. There are different types and levels of statistics. The different levels call for different statistical techniques. There are four types; the lowest of the four ways to characterize data is Nominal
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RUNNING HEAD: Statistics Overview Statistics Overview Jennifer Shanley BUS 308-Statistics for Managers Professor Wells November 1‚ 2014 Statistics Overview Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application
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Published on Explorable.com (https://explorable.com) Statistics Tutorial This statistics tutorial is a guide to help you understand key concepts of statistics and how these concepts relate to the scientific method and research. Scientists frequently use statistics to analyze [1] their results. Why do researchers use statistics? [2] Statistics can help understand a phenomenon by confirming or rejecting a hypothesis. It is vital to how we acquire knowledge to most scientific theories. You don’t need
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CHAPTER 1 SECTION 1: WHAT IS STATISTICS? MULTIPLE CHOICE 1. You take a random sample of 100 students at your university and find that their average GPA is 3.1. If you use this information to help you estimate the average GPA for all students at your university‚ then you are doing what branch of statistics? |a. |Descriptive statistics | |b. |Inferential statistics
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use of t-statistic and p-value? Ans: The t-statistic is a ratio of the departure of an estimated parameter from its notional value and its standard error. It is used in hypothesis testing. Let be an estimator of parameter β in some statistical model. Then a t-statistic for this parameter is any quantity of the form Where β0 is a non-random‚ known constant‚ and is the standard error of the estimator . By default‚ statistical packages report t-statistic with β0 = 0 (these t-statistics are used
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