Statistics for Business Intelligence – Hypothesis Testing Index: 1. What is Hypothesis testing in Business Intelligence terms? 2. Define - “Statistical Hypothesis Testing” – “Inferences in Business” – and “Predictive Analysis” 3. Importance of Hypothesis Testing in Business with Examples 4. Statistical Methods to perform Hypothesis Testing in Business Intelligence 5. Identify Statistical variables required to compute Hypothesis testing. a. Correlate computing those variables
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Chapter 8: Hypothesis Testing: 8.1 Review and Preview: The two main activities of inferential statistics are using sample data to (1) estimate a population parameter (such as estimating a population parameter with a confidence interval)‚ and (2) test a hypothesis or claim about a population parameter. Hypothesis: a claim or statement about a property of a population Hypothesis test/test of significance: a procedure for testing a claim about a property of a population Population proportion
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Hypothesis Testing PSY/ 315 University of Phoenix May 2015 What is Hypothesis Testing? O “[…method for determining the probability of an observed event that occurs only by chance” (Allua & Thompson‚ 2009). O Two hypothesis types: null and research O Does not prove but suggests that the hypothesis is plausible O Five steps of the method Null Hypothesis O No difference between groups compared O The difference is null O In a control and treatment group it states that the treatment had no effect
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Random samples of size n are selected from each of k populations. It will be assumed that the k populations are independent and normally distributed with means [pic][pic] and common variance [pic]. We wish to derive appropriate methods for testing the hypothesis: [pic] [pic] [pic] at least two of the means are not equal. Table 1 K random samples | |Population | | |
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Hypothesis Testing Hypothesis Testing In today’s world of statistical research there is a multitude of ways to make new discoveries and formulate new ideas; one way to accomplish this is for researchers to have inquiring minds that need to have their questions answered. To do this they must develop their hypothesis. Then researchers can develop a verbal and numerical hypothesis in which they will be able to test this hypothesis. In patients with Attention Deficit Hyperactivity Disorder (ADHD)
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Statistical Methods & Capital Markets Testing Random Walk Hypothesis Nicolas Mancini * Table of Content Abstract Theoretical background Methodology Data & Results Comparison Conclusion References ------------------------------------------------- I. Abstract The aim of this paper is to test the random walk hypothesis by applying the runs test on time series of several selected stocks. The random walk theory is the theory that stock prices changes have the same
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Fundamentals of Hypothesis-Testing Methodology Hypothesis testing typically begins with a theory‚ a claim‚ or an assertion about a particular parameter of a population. Some of them are: • The Null and Alternative Hypotheses The hypothesis that the population parameter is equal to the company specification is referred to as the null hypothesis. A null hypothesis is often one of status quo and is identified by the symbol H0. Whenever a null hypothesis is specified‚ an alternative hypothesis is also
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On Hypothesis Testing Submitted By: 090430 Date of Submission: 19.09.2010 Urban and Rural Planning Discipline Khulna University‚ Khulna Preface: A hypothesis is a statement about a population parameter developed for the purpose of testing. The terms hypothesis testing and testing a hypothesis are used interchangeably. Hypothesis testing starts with a statement‚ or assumption‚ about a population parameter. The statistical testing of hypothesis is the
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CHAPTER 7 THE TWO-VARIABLE REGRESSION MODEL: HYPOTHESIS TESTING QUESTIONS 7.1. (a) In the regression context‚ the method of least squares estimates the regression parameters in such a way that the sum of the squared difference between the actual Y values (i.e.‚ the values of the dependent variable) and the estimated Y values is as small as possible. (b) The estimators of the regression parameters obtained by the method of least squares. (c) An estimator
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The five-step processes for hypothesis testing are the following. Step1. Specify the null hypothesis H0 and alternative hypothesis H1. The null hypothesis is the hypothesis that the researcher formulates and proceeds to test. If the null hypothesis is rejected after the test‚ the hypothesis to be accepted is called the alternative hypothesis. For example if the researcher wants to compare the average value generated by two different procedures the null hypothesis to be tested is [pic] and
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