Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics.

Slides:

Advertisements

Similar presentations

Chapter Ten McGraw-Hill/Irwin

Advertisements

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500.

14-1 Chapter 14 Risk and Managerial (Real) Options in Capital Budgeting © Pearson Education Limited 2004 Fundamentals of Financial Management, 12/e Created.

Order of Operations and Exponents Exponents PEMDAS translatingSolution?

Name: Date: Read temperatures on a thermometer Independent / Some adult support / A lot of adult support

Lecture 8: Hypothesis Testing

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Demonstration Problem

Hypothesis Testing Chapter 10.

STATISTICS HYPOTHESES TEST (I)

AIDS epidemic update Figure AIDS epidemic update Figure 2007 Estimated adult (15–49 years) HIV prevalence rate (%) globally and in Sub-Saharan Africa,

16 th April 2008 Energy Outlook View of an International Oil Company Thierry PFLIMLIN President & CEO Total Oil Asia-Pacific Pte Ltd 2 nd ARF Seminar on.

AIDS epidemic update Figure AIDS epidemic update Figure 2007 Estimated adult (15–49 years) HIV prevalence rate (%) globally and in Sub-Saharan Africa,

1 Screening & Eligibility Jeopardy Title V/PHC.

How Dewey Do Dewey??? Dewey Decimal Classification System Kathy Smith.

Topographic Maps.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Lecture 7 POWER IN STATISTICAL TESTING

WHO WANTS TO BE A MILLIONAIRE? CAPACITY STYLE.

Who Wants To Be A Millionaire?

I can interpret intervals on partially numbered scales and record readings accurately ? 15 ? 45 ? 25 ? 37 ? 53 ? 64 Each little mark.

£1 Million £500,000 £250,000 £125,000 £64,000 £32,000 £16,000 £8,000 £4,000 £2,000 £1,000 £500 £300 £200 £100 Welcome.

Welcome to Who Wants to be a Millionaire

Applicable for Persons Registered under Article 10

Chapter 7 Sampling and Sampling Distributions

Power of a test. power The power of a test (against a specific alternative value) Is a tests ability to detect a false hypothesis Is the probability that.

ACC 3200 Chapter 3: Process Costing Process Costing.

$100 $200 $300 $400 $100 $200 $300 $400 $100 $200 $300 $400 $100 $200 $300 $400 $100 $200 $300 $400.

Break Time Remaining 10:00.

You will need Your text Your calculator

Power of a test. power The power of a test (against a specific alternative value) Is the probability that the test will reject the null hypothesis when.

Introduction to Hypothesis Testing

Contingency Tables Definition Contingency Table (or two-way frequency table) Contingency Table (or two-way frequency table) a table in which frequencies.

7 - 1 ©2003 Prentice Hall Business Publishing, Cost Accounting 11/e, Horngren/Datar/Foster Flexible Budgets, Variances, and Management Control: I Chapter.

MCQ Chapter 07.

Figure 1. PX Prices and Total ISO Load (May 15 - August 31, 2000) MW $/MWh.

Making Landmark or Friendly Numbers (Multiplication)

Total Points 0 Mountain Climber You are on a mountain climbing holiday. You want to climb all the way to the mountain top. You climb the mountain by answering.

There are two statistical tests for mean: 1) z test – Used for large samples (n ≥ 30) 1) t test – Used for small samples (n < 30)

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

AP Statistics Chapter 3 Review.

Chapter 8: Introduction to Hypothesis Testing. 2 Hypothesis Testing An inferential procedure that uses sample data to evaluate the credibility of a hypothesis.

Equal or Not. Equal or Not

Statistical Inferences Based on Two Samples

Fractions Simplify: 36/48 = 36/48 = ¾ 125/225 = 125/225 = 25/45 = 5/9

Fundamentals of Cost Analysis for Decision Making

Clock will move after 1 minute

PSSA Preparation.

Simple Linear Regression Analysis

Part 13: Statistical Tests – Part /37 Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of.

Chapter 8 Hypothesis Test.

One-Sample t-Tests. A Story Problem An educational consulting firm claims its new reading curriculum improves the mean reading score of children. Last.

Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.

Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.

Hypothesis Testing.

Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Statistics for Business and Economics 8 th Edition Chapter 9 Hypothesis Testing: Single.

Power of a test. power The power of a test (against a specific alternative value) Is In practice, we carry out the test in hope of showing that the null.

Hypothesis Testing Steps for the Rejection Region Method State H 1 and State H 0 State the Test Statistic and its sampling distribution (normal or t) Determine.

Hypothesis Tests: One Sample

P-value Approach for Test Conclusion

Statistics and Data Analysis

Chapter 9 Hypothesis Testing

Chapter 9: Hypothesis Testing

Statistical Inference for Managers

More About Tests Notes from

Statistical Power.

Presentation transcript:

Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics

Statistics and Data Analysis Part 22 – Statistical Tests: 1

The Power of a Test Procedure Power = The probability it will correctly reject a false hypothesis. A type II error occurs when you fail to reject a false hypothesis. β = probability of a type II error. (Standard notation in statistics – yes, it does conflict with the standard notation for regression coefficients.) Power = 1 – β Power depends on what the true value is (remember, the null is false, so something else is true). 35/42

Power of the Test of a Mean Rejection region. Probability = , Rejection region. Probability = /42

Power Against a Specific Alternative 37/42

Power Function for the test of μ = $30,000 Alternative Power of Test $29, $29, $29, $29, $29, $29, $29, $29, $30, $30, $30, $30, $30, $30, $30, $30, $30, /42