Do Now

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DO NOW Independently answer the following questions in your spiral. 1. What is the difference between a population and a sample? 2. What is the purpose of a sample? 3. True or False: A survey that only polls 15% of a population has an undercoverage bias because 85% of the population is not included. 4. Defend your answer to #3.

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Do Now. Independently answer the following questions in your spiral. What is the difference between a population and a sample? What is the purpose of a sample? - PowerPoint PPT Presentation

Transcript of Do Now

Page 1: Do Now

DO NOWIndependently answer the following

questions in your spiral.

1. What is the difference between a population and a sample?

2. What is the purpose of a sample?3. True or False: A survey that only polls 15% of a

population has an undercoverage bias because 85% of the population is not included.

4. Defend your answer to #3.

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HOMEWORK• Continue brainstorming your project

ideas.

• Finish your “Wandering Proposal” if not done during class.

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AGENDA• Sampling Concepts Review• Return Chapter 12 Quizzes• Project Intro!! Get Excited!!! • Project Wandering Proposal•Due @ end of class

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DO NOWIndependently answer the following

questions in your spiral.

1. What is the difference between a population and a sample?

2. What is the purpose of a sample?3. True or False: A survey that only polls 15% of a

population has an undercoverage bias because 85% of the population is not included.

4. Defend your answer to #3.

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SAMPLING

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POPULATION OF INTEREST: MINT CHOCOLATE CHIP

Simple Random Sample

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POPULATION OF INTEREST:ALL 6 FLAVORS

Stratified Sample

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POPULATION OF INTEREST:BOX OF NEAPOLITAN

ICE CREAM SANDWICHES

Cluster Sample

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VOLUNTARY RESPONSE BIAS• Sample Badly with Volunteers:• In a voluntary response sample, a large group

of individuals is invited to respond, and all who do respond are counted. • Voluntary response samples are almost always biased, and

so conclusions drawn from them are almost always wrong.• Voluntary response samples are often biased

toward those with strong opinions or those who are strongly motivated.

• Since the sample is not representative, the resulting voluntary response bias invalidates the survey.

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CONVENIENCE BIAS

• Sample Badly, but Conveniently:• In convenience sampling, we simply include the

individuals who are convenient. • Unfortunately, this group may not be

representative of the population.

• Convenience sampling is not only a problem for students or other beginning samplers.• In fact, it is a widespread problem in the

business world—the easiest people for a company to sample are its own customers.

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EXAMPLE• You want to know what Muchin senior think about the

prom theme.

• Convenience Sample: Your friends.

• Bias: You friends may all think alike or may just agree with you because you are their friend.

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UNDERCOVERAGE BIAS• Sample from a Bad Sampling Frame:• An SRS from an incomplete sampling frame

introduces bias because the individuals included may differ from the ones not in the frame.

• Undercoverage:• Many of these bad survey designs suffer from

undercoverage, in which some portion of the population is not sampled at all or has a smaller representation in the sample than it has in the population.

• Undercoverage can arise for a number of reasons, but it’s always a potential source of bias.

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EXAMPLE• You want to know what Muchin students (9-12th

grades) think about the senior/junior off-campus lunch policy.

• You stop every 5th student who comes off of the elevator between 7:00 – 7:30 am.

• Which group is under-represented here?

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NONRESPONSE BIAS

• Watch out for nonrespondents.• A common and serious potential source

of bias for most surveys is nonresponse bias.

• No survey succeeds in getting responses from everyone. • The problem is that those who don’t

respond may differ from those who do.• And they may differ on just the

variables we care about.

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EXAMPLE• You want to find out what percentage of people who

walk downtown feel stressed / busy.

• Who will stop to talk to you?

• Will you be able to account for the busy people?

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RESPONSE BIAS

• Work hard to avoid influencing responses.• Response bias refers to anything in the

survey design that influences the responses. • For example, the wording of a question can

influence the responses:• “You agree with me, right?”

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EXAMPLE• The survey can be biased (wording of questions,

answer choices, etc.)• The circumstances can influence people’s answers.• Ms. Neal gives you a survey with the following

circumstances:• You have to put your name on it.• You have to fill it out in front of her.• It asks you various questions about cheating, skipping,

and complaining about teachers.• Will these circumstances affect your response?

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UNIT 3 PROJECTExperiments and Surveys

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GET CREATIVE!• Work individually.

• Connect it to your senior project.

• Survey and / or experiment.

• Next two weeks – calendar of process / deadlines tomorrow.