Can you trust statistics? 1 MAT2375 Lecture #1 by D. McDonald from the Department of Mathematics and Statistics Can you trust Statistics?

Slides:



Advertisements
Similar presentations
Lecture 14 chi-square test, P-value Measurement error (review from lecture 13) Null hypothesis; alternative hypothesis Evidence against null hypothesis.
Advertisements

Section 10.2 Hypothesis Testing for Means (Small Samples) HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
25 September 2009 School of Economics 1 Information Session on Second Major in Applied Statistics (APS) Prepared by Kwong Koon Shing.
Lecture 3 Outline: Thurs, Sept 11 Chapters Probability model for 2-group randomized experiment Randomization test p-value Probability model for.
HOW ACTUARIES SEE THE WORLD Joint Math Meeting, January 5, 2012 Emily Kessler, FSA, EA, MAAA, FCA Society of Actuaries.
STAT 135 LAB 14 TA: Dongmei Li. Hypothesis Testing Are the results of experimental data due to just random chance? Significance tests try to discover.
Statistical Techniques I EXST7005 Lets go Power and Types of Errors.
Chap 1-1 Chapter 1 Why Study Statistics? EF 507 QUANTITATIVE METHODS FOR ECONOMICS AND FINANCE FALL 2008.
Introduction to Hypothesis Testing
The Experimental Approach September 15, 2009Introduction to Cognitive Science Lecture 3: The Experimental Approach.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
Lecture 3 Outline: Tues, Jan 20 Chapter 1.3 Probability model for 2-group randomized experiment. Hypothesis testing review Randomization test p-value Principle.
1954 Salk polio vaccine trials ► Biggest public health experiment ever ► Polio epidemics hit U.S. in 20 th century ► Struck hardest at children ► Responsible.
1 Some terminology Population - the set of all cases about which we have some interest. Sample - the cases we have selected from the population (randomly)
Statistical Analysis. Purpose of Statistical Analysis Determines whether the results found in an experiment are meaningful. Answers the question: –Does.
Hypothesis Testing and T-Tests. Hypothesis Tests Related to Differences Copyright © 2009 Pearson Education, Inc. Chapter Tests of Differences One.
INFERENTIAL STATISTICS – Samples are only estimates of the population – Sample statistics will be slightly off from the true values of its population’s.
Chapter 8 Introduction to Hypothesis Testing. Hypothesis Testing Hypothesis testing is a statistical procedure Allows researchers to use sample data to.
HOW ACTUARIES SEE THE WORLD. 2 WHAT IS AN ACTUARY?
1.6 (extra) Design of Experiments: Principles Sampling design.
Testing Hypotheses about a Population Proportion Lecture 29 Sections 9.1 – 9.3 Tue, Oct 23, 2007.
Statistical Analysis Statistical Analysis
Section 6.1 ~ The Role of Probability in Statistics: Statistical Significance Introduction to Probability and Statistics Ms. Young.
–Population: The collection of objects or individuals. N-value: The number of individuals in the population. N-value: The number of individuals.
MA-250 Probability and Statistics Nazar Khan PUCIT Lecture 1.
What’s in the news right now related to science???? Flesh eating bacteria.
Analysis of two-way tables - Formulas and models for two-way tables - Goodness of fit IPS chapters 9.3 and 9.4 © 2006 W.H. Freeman and Company.
Judith E. Brown Prof. Albia Dugger Miami-Dade College Ways of Knowing about Nutrition Unit 3.
Become an actuary Jumpstart a promising career by joining the actuarial program at FDU.
Section Inference for Experiments Objectives: 1.To understand how randomization differs in surveys and experiments when comparing two populations.
Chapter 2 Research in Abnormal Psychology. Slide 2 Research in Abnormal Psychology  Clinical researchers face certain challenges that make their investigations.
Chapter 2 The Research Enterprise in Psychology. Table of Contents The Scientific Approach: A Search for Laws Basic assumption: events are governed by.
Section 10.1 Fundamentals of Hypothesis Testing HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant Systems,
Analysis of two-way tables - Formulas and models for two-way tables - Goodness of fit IPS chapters 9.3 and 9.4 © 2006 W.H. Freeman and Company.
Copyright © 2009 Pearson Education, Inc LEARNING GOAL Interpret and carry out hypothesis tests for independence of variables with data organized.
Cooperative Learning Statistical Significance and Effect Size By: Jake Eichten and Shorena Dolaberidze.
Chapter 1 Statistical Thinking What is statistics? Why do we study statistics.
Section 10.2 Hypothesis Testing for Means (Small Samples) HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
Essential Question:  How do scientists use statistical analyses to draw meaningful conclusions from experimental results?
What is Statistics. Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chap 1-2 Lecture Goals After completing this theme, you should.
Statistical Significance The power of ALPHA. “ Significant ” in the statistical sense does not mean “ important. ” It means simply “ not likely to happen.
Not in FPP Bayesian Statistics. The Frequentist paradigm Defines probability as a long-run frequency independent, identical trials Looks at parameters.
Stats Lunch: Day 3 The Basis of Hypothesis Testing w/ Parametric Statistics.
Logic and Vocabulary of Hypothesis Tests Chapter 13.
Testing Hypotheses about a Population Proportion Lecture 29 Sections 9.1 – 9.3 Fri, Nov 12, 2004.
Testing Hypotheses about a Population Proportion Lecture 29 Sections 9.1 – 9.3 Wed, Nov 1, 2006.
Testing Hypotheses about a Population Proportion Lecture 31 Sections 9.1 – 9.3 Wed, Mar 22, 2006.
Chapter 6 Designing Experiments. Is it ethical? A promising new drug has been developed for treating cancer in humans. Researchers want to administer.
MATH 256 Probability and Random Processes Yrd. Doç. Dr. Didem Kivanc Tureli 14/10/2011Lecture 3 OKAN UNIVERSITY.
Tests of Significance We use test to determine whether a “prediction” is “true” or “false”. More precisely, a test of significance gets at the question.
Tests of Significance -how to put them in writing.
Psychological Experimentation The Experimental Method: Discovering the Causes of Behavior Experiment: A controlled situation in which the researcher.
 Let’s look at the Salk Vaccine experiment we first looked at on Wednesday.  In 1954, 200,475 children were given a treatment of Salk vaccine injections.
Copyright © 2009 Pearson Education, Inc LEARNING GOAL Interpret and carry out hypothesis tests for independence of variables with data organized.
To see if my memory pill works I will conduct an experiment using every one of my AP Psych students………… OKNO.
Hypothesis Testing for Means (Small Samples)
Testing Hypotheses about a Population Proportion
Inference for Experiments
Week 11 Chapter 17. Testing Hypotheses about Proportions
The Nature of Probability and Statistics
6.1 The Role of Probability in Statistics: Statistical Significance
Can you trust Statistics?
Testing Hypotheses about a Population Proportion
Statistical Data Analysis
Chapter 11: Testing a Claim
1954 Salk polio vaccine trials
Beyond the Formula, August 2004
Testing Hypotheses about a Population Proportion
Analyzing and Interpreting Quantitative Data
Testing Hypotheses about a Population Proportion
Presentation transcript:

Can you trust statistics? 1 MAT2375 Lecture #1 by D. McDonald from the Department of Mathematics and Statistics Can you trust Statistics?

Can you trust statistics? 2 In 1953: 60,000 victims of polio in the USA In the early 1950’s Dr. Jonas Salk developed a vaccination against polio. Before a massive vaccination program could be started it was necessary to prove the vaccine was effective.

Can you trust statistics? 3 A Randomized, Controlled Experiment 400,000 elementary school students participated in the experiment. 200,000 chosen at random from in the treatment group got the vaccine. The remaining 200,000 in the control group did not get the vaccine.

Can you trust statistics? 4 A Randomized, Controlled Double-Blind Experiment The 200,000 children in the control got a fake vaccination called a placebo. The children and their parents were not told if they got the real vaccine or not. Even the doctors and nurses didn’t know; only the statisticians knew

Can you trust statistics? 5 Experimental Results Looks promising but is it significant? SizeRate Treatment200,00028 Control200,00071 Total400,00099

Can you trust statistics? 6 Analysis: The Devil’s Advocate Let’s play the devil’s advocate. Let’s assume the vaccine has no effect. Then the 99 cases of polio were split into the two groups purely at random. Is it very likely only 25 fall in the treatment group?

Can you trust statistics? 7 A Probability Model Put 400,000 balls in an urn with 99 black and the rest white. Draw 200,000 (for the treatment group) and count the number of black balls. What is the chance of a split as extreme or more extreme than 28 in the treatment group and 71 in the control group. About one in a billion

Can you trust statistics? 8 Calculating Probabilities A statistician relies on the theory of probability to calculate probabilities. The number of black balls X in the treatment group follows the hypergeometric distribution.

Can you trust statistics? 9 Conclusion: Get vaccinated! We must reject the hypothesis that the treatment has no effect; otherwise we must believe we are incredibly unlucky. We can therefore recommend mass vaccination. We also note a vaccination does not prevent polio. Your best protection is to get vaccinated and encourage everyone to be vaccinated.

Can you trust statistics? 10 A Statistician’s Job Understand the problem. This requires an interaction with subject specialists and often a basic understanding of their science. Design experiments so something can be proved. Statistics is huge so somebody may already have a design. Surprisingly often you have to find a new approach.

Can you trust statistics? 11 A Statistician’s Job Ensure the data is collected according to the design. Use probability and computers to calculate the significance of the results. Draw a conclusion and explain it.

Can you trust statistics? 12 Statistical Careers SOA Society of actuaries CAS Casualty Actuarial Society Examination:1/P: essentially MAT2371 Qualify for VEE-Applied Statistical Methods: essentially MAT2375

Can you trust statistics? 13 Statistical Careers Statistics Canada methodologist: Our courses in statistics are accredited by the Canadian Statistical Society so if you take the recommended courses you are ready to take the civil service examination

Can you trust statistics? 14 Statistical Careers Defense research board – data mining of surveillance data Ministry of Transport – analyzing accidents Ministry of Agriculture – forecasting Bank of Canada, Finance - forecasting

Can you trust statistics? 15 Statistical Careers Quant – modeling and forecasting markets Hedgie - calculating complex trading strategies like calls and puts – lots of probability