'Tail test' presentation slideshows

Chapter 9 Introduction to Hypothesis Testing

Business Statistics: A Decision-Making Approach 8 th Edition. Chapter 9 Introduction to Hypothesis Testing. Chapter Goals. After completing this chapter, you should be able to: Formulate null and alternative hypotheses involving a single population mean or proportion

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Univariate Time Series

Univariate Time Series. Concerned with time series properties of single series. Denote y t to be observed value in period t Observations run from 1 to T Very likely that observations at different points in time are correlated as economic time series change only slowly. Stationarity.

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Testing Statistical Hypothesis The One Sample t-Test

Testing Statistical Hypothesis The One Sample t-Test. Heibatollah Baghi, and Mastee Badii. Parametric and Nonparametric Tests. Parametric tests estimate at least one parameter (in t-test it is population mean)

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Dr. Elena Vinogradova May 30, 2012

Role of Technology in Entrepreneurship Training: Evidence from HP LIFE Program. Dr. Elena Vinogradova May 30, 2012. About the program. Hewlett-Packard Learning Initiative for Entrepreneurs (HP LIFE) LIFE * curriculum = ICT skills + business skills Experiential learning methodology

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Chapter 23 Confidence Intervals for a Population Mean ?; t distributions

Chapter 23 Confidence Intervals for a Population Mean ?; t distributions. t distributions t confidence intervals for a population mean ? Sample size required to estimate ?. The Importance of the Central Limit Theorem.

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MGMT 276: Statistical Inference in Management Spring , 2013

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Ch. 9 Fundamental of Hypothesis Testing

Ch. 9 Fundamental of Hypothesis Testing. There two types of statistical inferences, Estimation and Hypothesis Testing Hypothesis Testing: A hypothesis is a claim (assumption) about one or more population parameters. Average price of a six-pack in the U.S. is ? = $4.90

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Testing Statistical Hypothesis for Dependent Samples

Testing Statistical Hypothesis for Dependent Samples. Testing Hypotheses about Two Dependent Means. Dependent Groups t-test Paired Samples t-test Correlated Groups t-test. Steps in Test of Hypothesis. Determine the appropriate test Establish the level of significance: ?

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Chapter 11

Chapter 11. Hypothesis Test about Population Variance ( Standard Deviation ). Variance. Variance Squared standard deviation Sample variance: s 2 Population variance: ? 2 Measuring the spread (the variability , the dispersion ) of the data around the mean

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CHAPTER 10 HYPOTHESIS TESTING

CHAPTER 10 HYPOTHESIS TESTING. Outline Hypothesis testing The context and some terms Testing population mean when the population variance is known Two-tail test One-tail test The p -value of a test of hypothesis The probability of a Type II error. HYPOTHESIS TESTING THE CONTEXT.

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Regression Analysis

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Correlation and Regression

Correlation and Regression. Correlation. A quantitative relationship between two interval or ratio level variables. Explanatory (Independent) Variable. Response (Dependent) Variable. y. x. Hours of Training. Number of Accidents. Shoe Size. Height . Cigarettes smoked per day.

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Hypothesis Testing

Hypothesis Testing. An Inference Procedure We will study procedures for both the unknown population mean on a quantitative variable and the unknown population proportion on a qualitative variable. Background .

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Hypothesis Testing

Hypothesis Testing. An Inference Procedure We will study procedures for both the unknown population mean on a quantitative variable and the unknown population proportion on a qualitative variable. Background .

328 views • 18 slides

MGMT 276: Statistical Inference in Management

MGMT 276: Statistical Inference in Management. Extra Credit Opportunity. Learn more about how business research is actually conducted . Requires two online surveys In-class on November 10 th is dedicated to this topic.

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8. Evaluation Methods

8. Evaluation Methods. Errors and Error Rates Precision and Recall Similarity Cross Validation Various Presentations of Evaluation Results Statistical Tests. How to evaluate/estimate error. Resubstitution one data set used for both training and for testing Holdout (training and testing)

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Difference Between the Means of Two Populations

Difference Between the Means of Two Populations . We have be studying inference methods for a single variable. When the variable was quantitative we had inference for the population mean. When the variable was qualitative we had inference for the population proportion.

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More Regression Information

More Regression Information. On the previous slide I have an Excel regression output. The example is the pizza sales we saw before. The first thing I look at is the coefficients. See cell b28 has the word coefficient. We take the information below and write the equation as

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Economics 105: Statistics

Economics 105: Statistics. Go over GH 9 & 10 GH 11 and 12 due Tuesday. Level of Significance, ?. Defines the unlikely values of the sample statistic if the null hypothesis is true Defines rejection region of the sampling distribution Is designated by ? , (level of significance)

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