Bias In Statistics BY: JACKIE SARTORELLI & ANDREW CROSBY.

Slides:



Advertisements
Similar presentations
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 4: Designing Studies Section 4.1 Samples and Surveys.
Advertisements

How to survey data without adding bias.
Chapter 7: Data for Decisions Lesson Plan
* Students will be able to identify populations and samples. * Students will be able to analyze surveys to see if there is bias. * Students will be able.
AP Statistics Chapter 5 Notes.
Chapter 12 Sample Surveys
Section 5.1. Observational Study vs. Experiment  In an observational study, we observe individuals and measure variables of interest but do not attempt.
Sample Surveys Ch. 12. The Big Ideas 1.Examine a Part of the Whole 2.Randomize 3.It’s the Sample Size.
Voluntary Sampling  Voluntary samples are surveys where members of a population are invited to respond voluntarily.  Responses are not mandatory.
BPS - 5th Ed. Chapter 81 Producing Data: Sampling.
AP Statistics Section 5.1 Designing Samples. In an observational study, we simply observe individuals and measure variables, but we do not attempt to.
Section 1 Part 1. Samples vs Population  Benefits of getting data from the entire population….  You can draw a conclusion about the entire population….more.
 Sampling Design Unit 5. Do frog fairy tale p.89 Do frog fairy tale p.89.
Pg Exploratory data analysis describes what data say by using graphs and numerical summaries. What if we want to ask a large group of individuals.
6.6 Analyze Surveys and Samples Math Analyze Surveys and Samples Vocabulary GPS MM1D3. Students will relate samples to a population.
Population We are almost always interested in knowledge about a population. We would have little interest in samples if we could always ask everyone.
Section 2-1 Samples, Good and Bad. Remember: We select a sample in order to get information about some population (entire group of individuals about which.
Chapter 7: Data for Decisions Lesson Plan Sampling Bad Sampling Methods Simple Random Samples Cautions About Sample Surveys Experiments Thinking About.
Section 5.1 Designing Samples Malboeuf AP Statistics, Section 5.1, Part 1 3 Observational vs. Experiment An observational study observes individuals.
Lesson 10.7 Concept: How to compare and select samples of a population. Learn about different methods of sampling. Guidelines: There are different sample.
Bias in Surveys MDM4U – Mathematics of Data Management.
one variable What is univariate data? We are going to discuss the properties of one variable at a time, like height, time, tempurature etc.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 4: Designing Studies Section 4.1 Samples and Surveys.
Data Collection: Sample Design. Terminology Observational Study – observes individuals and measures variables of interest but does not impose treatment.
CHAPTER 8: Producing Data Sampling ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
CHAPTER 8: Producing Data Sampling ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
4.1 CLUSTERS AND CLUSTER SAMPLES By Keaton Kemnitz & Esteban Luis Asencio Otero Garcia de Guantanemo Masson.
A Survey is a study of one or more characteristics of a group. A Survey is a study of one or more characteristics of a group.
PUT THE FOLLOWING TEST SCORES IN ORDER AND GROUP THEM INTO FOUR GROUPS; Question of day.
Section 5.1 Designing Samples AP Statistics
AP STATISTICS LESSON AP STATISTICS LESSON DESIGNING DATA.
AP STATISTICS Section 5.1 Designing Samples. Objective: To be able to identify and use different sampling techniques. Observational Study: individuals.
Sampling Methods and Cautions
Statistics Population/Sample Survey. Statistics Practice of collecting and analyzing data to make future decisions. For example, Lays Potato Chips offers.
Chapter 21 Samples, Good and Bad. Chapter 22 Thought Question 1 Popular magazines often contain surveys that ask their readers to answer questions about.
I can identify the difference between the population and a sample I can name and describe sampling designs I can name and describe types of bias I can.
Gathering Data (C11-13 BVD) C12: Sampling and Surveys.
Definition Word Search. Find definitions in the following places 1.Need a Schedule Change? 2.Where would you go to play hoops? 3.Where would you go to.
 An observational study observes individuals and measures variable of interest but does not attempt to influence the responses.  Often fails due to.
Types of Bias How to pick the right sample. What is bias? Bias is any inconsistencies in using a sample to make inferences about the entire population.
Chapter 3 Surveys and Sampling © 2010 Pearson Education 1.
Unit 7: Producing Data Mr. Evans Statistics Part 2.
Bias!!. Journal Topic Why do we take Samples? Fill in the blank: A good sample is of a population. Define Bias We take samples in order to reduce the.
Kinds of Samples Statistics is still fun. Random – Choose your population - 7 th graders/7 th grade teachers/7 th grade parents. – Put all the names in.
Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.
Types of Samples. Samples Population – the main group or set from which observations or opinions can be made Sample – a small part of a population from.
Chapter 5 Sampling and Surveys. Section 5.1 Samples, Good and Bad.
1. What is one method of data collection? 2. What is a truly random way to survey/sample people?
Chapter 12 Vocabulary. Matching: any attempt to force a sample to resemble specified attributed of the population Population Parameter: a numerically.
Designing Studies In order to produce data that will truly answer the questions about a large group, the way a study is designed is important. 1)Decide.
Bias in Survey Sampling. Bias Due to Unrepresentative Samples A good sample is representative. This means that each sample point represents the attributes.
Stats 3 Day 5 Chapter 12. Do Now Designing a Political Survey.
STATS IN THE REAL WORLD Statistics, Representation, and Interpretation.
5.1: Designing Samples. Important Distinction Observational Study – observe individuals and measure variables but do not attempt to influence the responses.
Unit 4 Gathering Data LESSON SAMPLING WHAT ARE GOOD WAYS AND POOR WAYS TO SAMPLE?
Producing Date: Sampling Chapter 8. Group Task Your group is going to run a study on the effects of cell phones and students’ grades here at Spring- Ford.
AP Statistics C5 D1 HW: p.285 #19-24 Quiz in 2 class days Obj: to choose a simple random sample Do Now: What is the difference between a sample and a population?
Section 1 Part 1 Chapter 5.
Chapter 12 Sample Surveys
Josie Burridge & Alyssa Pennacchi
Bias On-Level Statistics.
Section 5.1 Designing Samples
Sampling and Surveys How do we collect data? 8/20/2012.
Producing Data Chapter 5.
Chapter 12 part 2 Types of bias.
Designing Samples Statistical techniques for producing data open the door to formal statistical inference, which answers specific questions with a known.
Section 5.1 Designing Samples
Designing Samples Statistical techniques for producing data open the door to formal statistical inference, which answers specific questions with a known.
Do now Do now is posted on google classroom.
Presentation transcript:

Bias In Statistics BY: JACKIE SARTORELLI & ANDREW CROSBY

What Is Bias?  A method is biased if it has a tendency to produce an untrue value by systematically favoring some outcomes over others.

Nonresponse Bias  Nonresponse Bias is a sampling bias that occurs when people selected to participate in a survey fail to respond or refuse to do so.  This bias is bad to use because it is not taking account of those that did not respond to the survey.  Example) When a survey is sent out in the mail and people choose not to respond.

Wording Bias  Occurs when a question is asked with persuasion or is “loaded”.  This method is not a good method to use because it can persuade people to answer in line with what’s implied.  Example) Only cool and smart people like school, do you like school?

Under-coverage  Occurs when people are not given a chance to respond.  This method is bad because it does not accurately represent the entire population in its data.  Example) When a survey is sent out to only those with landline telephones.

Voluntary Response Bias  A sampling bias that occurs when people who generally have strong feelings about the results participate (self-selected volunteers)  This bias is bad because it is only taking account of those that choose to participate, rather than the whole population.  Example) When American Idol asks the audience to vote for their top pick and those that choose to vote do.

Convenience Sampling  A sampling bias that occurs when people are chosen because they are the easiest, or most convenient to reach.  A bad method to use because the results will not account for the whole population, only those that were chosen and it does not allow people to be equally chosen.  Example) When a surveyor in a mall asks those passing by to take a survey.

Quiz  What kind of bias occurs when someone adds a review on Yelp?  What kind of bias occurs when a surveyor asks, “Most people that drink soda are unhealthy and overweight, do you drink soda?”  What kind of bias occurs when only people who have an address are asked to respond?  Can you give an example of nonresponse bias?  How about convenience bias?