Critical Thinking- Analysis of an Argument

Slides:



Advertisements
Similar presentations
1 G Lect 2a G Lecture 2a Thinking about variability Samples and variability Null hypothesis testing.
Advertisements

Section 9.1 ~ Fundamentals of Hypothesis Testing Introduction to Probability and Statistics Ms. Young.
6.5: Estimating a Population Proportion
Evaluating Hypotheses Chapter 9. Descriptive vs. Inferential Statistics n Descriptive l quantitative descriptions of characteristics.
Building Logical Arguments. Critical Thinking Skills Understand and use principles of scientific investigation Apply rules of formal and informal logic.
Statistical Hypothesis Testing. Suppose you have a random variable X ( number of vehicle accidents in a year, stock market returns, time between el nino.
Copyright © 2012 Pearson Education. All rights reserved Copyright © 2012 Pearson Education. All rights reserved. Chapter 15 Inference for Counts:
AP Statistics February Coin Flipping Example  On a scrap paper record the results of my coin flips. 2.
Statistical Inference An introduction. Big picture Use a random sample to learn something about a larger population.
What Is Science?. 1. Science is limited to studying only the natural world. 2. The natural world are those phenomena that can be investigated, discovered,
Class Notes 2 The Scientific Method. I. The Scientific Method -an organized set of procedures that help scientists answer questions and solve problems.
Notes –  With the new idea of the universe having the sun at the center and not the Earth, people began to think and doubt the world around.
Chapter 2 Section 1 Conducting Research Obj: List and explain the steps scientists follow in conducting scientific research.
Chapter 9 Estimating a Population Proportion Created by Kathy Fritz.
Copyright © 2014 Pearson Education. All rights reserved Fundamentals of Hypothesis Testing LEARNING GOAL Understand the goal of hypothesis testing.
Unit 1 Lesson 3 Scientific Investigations
Hypothesis Tests l Chapter 7 l 7.1 Developing Null and Alternative
9.3 Hypothesis Tests for Population Proportions
Confidence Intervals for Proportions
Chapter 11 Asking and Answering Questions About The Difference Between Two Population Proportions Created by Kathy Fritz.
How to Research Lynn W Zimmerman, PhD.
Hypothesis Testing for Proportions
Writing Research Proposals
Experimental Psychology
Unit 5: Hypothesis Testing
Testing Hypotheses about Proportions
AF1: Thinking Scientifically
Chapter 21 More About Tests.
Why We Do Research Chapter 1.
Sociological Research Methods
WHAT IS THE NATURE OF SCIENCE?
Chapters 20, 21 Hypothesis Testing-- Determining if a Result is Different from Expected.
Confidence Intervals for Proportions
Hypothesis Testing for Population Means (s Unknown)
Research in Advertising
How do we know things? The Scientific Method
© 2011 The McGraw-Hill Companies, Inc.
Analyze, evaluate, and conquer
More about Tests and Intervals
Is 16 Too Young to Drive? Article by Robert Davis
CONCEPTS OF HYPOTHESIS TESTING
Thinking Like a Scientist
Types of Research 24TH April 2018 Shellemiah Keya
Standard 7c Communicate the logical connection
Software Engineering Experimentation
Section 10.2 Tests of Significance
A 4 Step Process (Kind of…)
It is actually way more exciting than it sounds!!!!
Chapter 1.1 NOTES: What is Science?.
Need for Psychological Science
Chapter 1.1 – What is Science?
15.1 Goodness-of-Fit Tests
Hypothesis tests for the difference between two proportions
Research in Psychology
Nature 2018 Summer Camp Hypothesis and Product Testing
What is Science? Review This slide show will present a question, followed by a slide with an acceptable answer. For some questions, there is a definite.
Psych 231: Research Methods in Psychology
Ch. 1 Miss Loulousis.
Confidence Intervals for Proportions
Psych 231: Research Methods in Psychology
Scientific Method.
Unit 2 – Methods Objective 1 Describe quantitative and qualitative  methods such as surveys, polls, and statistics used in sociological research.  Objective.
The Nature of Science What is Science About?.
1.1 – Social Science Research Methods
Confidence Intervals for Proportions
Statistics is… Mathematics: The tools used to analyze data and quantify uncertainty are mathematical in nature (e.g., probability, counting methods). English:
Significance Tests: The Basics
STA 291 Spring 2008 Lecture 17 Dustin Lueker.
Prior to the Scientific Method:
The Research Process & Surveys, Samples, and Populations
Presentation transcript:

Critical Thinking- Analysis of an Argument G.P. Taylor, Ph.D. University of Texas at San Antonio

Critical Thinking Deciding rationally what to or what not to believe Norris, Stephen P. "Synthesis of Research on Critical Thinking. Educational Leadership, v 42 n 8 May 1985. 40-45.

Critical Thinking Careful and deliberate determination of whether to accept, reject, or suspend judgment. Moore and Parker, 1994.

In Science, Critical Thinking is used when you… Observe problem/phenomenon/conceive ideas Develop a hypothesis Make predictions: Formulate experiments Test Predictions: Carry out experiments/analyze data Draw conclusions from results, modify hypothesis Modify as needed and do again. Reject or confirm hypothesis The Scientific Method itself involves critical thinking VITAL for a scientist. Impressive for a science student Need to have time to read and think

Scientists are Natural Skeptics Big thing to learn during Grad school: Be critical of everything! What can you doubt about a scientific paper?

Possible Doubts for Paper Are their ideas supported by prior findings? Are their techniques correct? Why did they choose the techniques they chose? Can their machines measure what they say? Did they do the correct controls (could the effect arise from some other factor??) Does their data look “random” enough? Did they analyze their data correctly? Did they use correct statistical techniques? Did they interpret their data correctly? Are their conclusions supported by the data?

Here, we’ll practice being critical Analyze during class. 1 exercise from the GRE questions pool Identify major problems with given arguments

How to Approach? Given: There are flaws? What are they? Where are the problems? Analyze line of reasoning Consider questionable assumptions Does evidence support the conclusion? What additional evidence is needed to strengthen or weaken argument? What other info is needed to evaluate the conclusion?

Weak Analogy Conclusion about one thing, based on success or failure of another…with many other variables present Ex: A biotechnology company is doing well in SA…I’ll open one as well…

Confusing Cause and Effect Ice cream consumption leads to criminal behavior… Other factors: Summer heat, out of school, etc…

Necessary and Sufficient Necessary- No other ways of getting effect Sufficient- Can cause effect

Unrepresentative Statistics Sample large enough Sample representative of overall population in relevant characteristics How many are needed? What works there…does it here?

Assuming no change over time Old stats may not been representative of today…

Narrow Either-Or Reasoning Must choose only one path… Perhaps both courses of action are okay? Are other courses of action feasible?

Directions: Identify conclusion Identify supporting evidence Brainstorm and identify three or four discrete flaws (see prior slides), plus any others that you note. How to strengthen argument? (What additional info is needed)

Example: Last year the local television news program In Focus reported in its annual car-and-truck safety survey that over the course of the last 10 years, United Motors vehicles were in involved in at least 30% fewer fatal accidents to drivers than vehicles built by any other single manufacturer. Now, United is developing a one-of-a-kind kind computerized crash warning system for all its trucks. Clearly, anyone concerned with safety who is in the market for a new truck this year should buy a United Motors truck.

Example Conclusion: Truck buyers should favor the UM truck over others… Evidence Presented: Compiled TV station-calculated 10 year fatality rate on all UM vehicles Development of new truck safety system

Logic Problems: Survey: General Problems 30%...total accidents or per vehicle sold??? (not percentage data, but seems to be actual numbers) what % fatal accidents included? Where is data from? 30% of all vehicles, not trucks alone Non-fatal also relevant to safety Geographic effects (fewer AM vehicles; In Focus local?) Was safety consistent? No changes in trucks over 10 years? Maybe UM worse…why new system needed? The new safety feature is effective New system not yet included- irrelevant to current purchases

How would you strengthen Argument??

To Strengthen the Argument: Accident sample information Trucks instead of vehicles analyzed Other measures of safety (non-fatal) Safety was consistent over time New safety features included and effective