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Lecture

# SOAN 2120 Lecture Notes - Type I And Type Ii Errors, Statistical Hypothesis Testing, Statistical Inference

by OC97365

School

University of GuelphDepartment

Sociology and AnthropologyCourse Code

SOAN 2120Professor

David WaltersThis

**preview**shows half of the first page. to view the full**1 pages of the document.**October 16, 2012 – SOAN 2120

Chapter 6,7,9 BUT you have to read chapter 4 and 10 for research project

November 8 – review class – revenge

Hypothesis as a Decision Making Problem

- there are four possible outcomes when we conduct a hypothesis test

- if H0 is not correct, we reject it, we have made the correct decision

- If the null H0 is correct and we accept it, we have made the correct decision

- If the H0 is correct and we reject is, we have made the wrong decision (we

call this type I error)

- The H0 is not correct and we accept it, we have made the wrong decision (we

call this type II error)

when you go from 99% to 95%, it’s easier to reject the null but the probability of

making an error increases as well.

ADVICE: understand the relationship between confidence levels and error types.

FINAL PROJECT: identify an issue, write a short research article, using real data pick

3 variables and examine the relationship b/w them (using SPSS)

2

Type I and Type II Errors

Type I and Type II Errors

Not Guilty Guilty

Truth about Crime

Decision

By

Jury

Guilty

Not

Guilty

Up until now

•

!

Logic of statistical inference

Probability statements (p-values)

•

!

Applied Statistics

Criminologist – does a public policy

influence crime rates

Medical researcher – does this particular

drug reduce depressive symptoms

Sociologist – how is gender related to

labour market rewards

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