1. Statistical Bias 9/18/2015 Statistics Mr. DeOms
SWBAT explain types of bias when sampling from a population.
SWBAT build community and understanding by sharing images of self.

5. Unit 1 What is Statistics Data Types Data Collection
Experimental Design
Sampling Methods
TODAY - Bias
T – 9/22 - Ethics in Statistics / REVIEW
Th – 9/24 - Unit 1 Test

6. Please get out a piece of loose leaf paper for today’s Notes
Name
9/18/2015
Stats – 1
Bias

7. Survey Bias – the tendency of a sample statistic to over or under estimate a population parameter
Biased Sample - a sample that is not representative of the population

8. Sampling error is the error that always results from using a sample to estimate information regarding a population.
- Larger sample sizes decreases the bias created from sampling error

9. Response Bias – the tendency of subjects to provide inaccurate data
Causes:
Environment
Who asks the questions
How the questions are asked
Social desirability

10. Selection Bias – the failure to select sample subjects that accurately represent the greater population
Causes:
Under-Coverage
Nonresponse bias
Voluntary response bias

11. Strategy
Helps prevent this type of bias
Random Sampling
Response Bias
Selection Bias
Confidential surveys
Increased sample size
Reduces sampling error

12. Complete the rest of Stats.9.Homework
COMPLETELY ANSWER EACH QUESTION ON A PIECE OF LOOSELEAF PAPER OR TYPED.
USE COMPLETE SENTENCES AND EXPLAIN YOUR WORK.
IF YOU WORK WITH A PARTNER, ACKNOWLEDGE THAT PARTNER.
EVERY STUDENT NEEDS TO TURN IN THEIR OWN WORK, IN THEIR OWN WORDS.