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Sections 2.3 – 2.6 Recap Unit Test on Tuesday, October 2, 2012

Sections 2.3 – 2.6 Recap

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Sections 2.3 – 2.6 Recap. Unit Test on Tuesday, October 2, 2012. 2.3 Sampling Techniques. Scenario : A sample of young adults were surveyed regarding their diets. If the sample consists of young adults, then who is the population of this study?. - PowerPoint PPT Presentation

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Page 1: Sections  2.3 – 2.6  Recap

Sections 2.3 – 2.6

RecapUnit Test on

Tuesday, October 2, 2012

Page 2: Sections  2.3 – 2.6  Recap

2.3 Sampling Techniques

Scenario:

A sample of young adults were surveyed regarding their diets.

If the sample consists of young adults, then who is the population of this study?

Page 3: Sections  2.3 – 2.6  Recap

Scenario:

A sociology professor talks to every 9th elementary school student walking into the local library about their reading skills. If he interviewed 34 people, what is the population size?

Page 4: Sections  2.3 – 2.6  Recap

A sociology professor talks to every 9th elementary school student walking into the local library about their reading skills. If he interviewed 34 people, what is the population size?

interval = pop. size / sample size

Re-arrange it to get

pop. size = interval x sample size = 9 x 34 = 306 elem. school students

Page 5: Sections  2.3 – 2.6  Recap

Was that an example of systematic sampling or stratified

sampling?

Page 6: Sections  2.3 – 2.6  Recap

Sample Types

Sample

Simple random sample

Systematic sample

Stratified sample

Page 7: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample –

Multi-stage sample

Voluntary-response sample

Convenience sample

Page 8: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample - the total population is

divided into groups (or clusters) and a simple random sample of the groups is selected.

Multi-stage sample

Voluntary-response sample

Convenience sample

Page 9: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample - the total population is

divided into groups (or clusters) and a simple random sample of the groups is selected. *My drawing on the white board was not a definition, it was only describing the textbook’s fast-food chain example.

Multi-stage sample -

Voluntary-response sample

Convenience sample

Page 10: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample - the total population is

divided into groups (or clusters) and a simple random sample of the groups is selected. *My drawing on the white board was not a definition, it was only describing the textbook’s fast-food chain example.

Multi-stage sample – several levels of random sampling

Voluntary-response sample –

Convenience sample

Page 11: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample - the total population is

divided into groups (or clusters) and a simple random sample of the groups is selected. *My drawing on the white board was not a definition, it was only describing the textbook’s fast-food chain example.

Multi-stage sample – several levels of ran. sampling

Voluntary-response sample – researcher invites any member of population into survey

Convenience sample

Page 12: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample - the total population is

divided into groups (or clusters) and a simple random sample of the groups is selected. *My drawing on the white board was not a definition, it was only describing the textbook’s fast-food chain example.

Multi-stage sample – several levels of ran. sampling

Voluntary-response sample – researcher invites any member of population into survey

Convenience sample

Page 13: Sections  2.3 – 2.6  Recap

Sample Types Cluster sample - the total population is divided

into groups (or clusters) and a simple random sample of the groups is selected. *My drawing on the white board was not a definition, it was only describing the textbook’s fast-food chain example.

Multi-stage sample – several levels of ran. sampling

Voluntary-response sample – researcher invites any member of population into survey

Convenience sample - sample selected but it’s easily accessible

Page 14: Sections  2.3 – 2.6  Recap

Question A community centre chooses 15 of its

members and asks them to have each member of their families complete a short questionnaire.

A) What type of sample is the community centre using?

Page 15: Sections  2.3 – 2.6  Recap

Question A community centre chooses 15 of its

members and asks them to have each member of their families complete a short questionnaire.

A) What type of sample is the community centre using?

Answer: Cluster Sample

Page 16: Sections  2.3 – 2.6  Recap

Question A community centre chooses 15 of its

members and asks them to have each member of their families complete a short questionnaire.

B) Are the 15 community-centre members a random sample of the community?

Page 17: Sections  2.3 – 2.6  Recap

Question A community centre chooses 15 of its members

and asks them to have each member of their families complete a short questionnaire.

B) Are the 15 community-centre members a random sample of the community?

Answer: No, not every member has an equal chance of being selected

Page 18: Sections  2.3 – 2.6  Recap

Question A community centre chooses 15 of its

members and asks them to have each member of their families complete a short questionnaire.

C) To what extent are the family members randomly chosen?

Page 19: Sections  2.3 – 2.6  Recap

Question

A community centre chooses 15 of its members and asks them to have each member of their families complete a short questionnaire.

C) To what extent are the family members randomly chosen?

Answer: to the same extent as the member of the community was selected

Page 20: Sections  2.3 – 2.6  Recap

2.4 Bias in Surveys Sampling Bias

Non-response Bias

Measurement Bias

Response Bias

Page 21: Sections  2.3 – 2.6  Recap

2.4 Bias in Surveys Sampling Bias – sample doesn’t rep. population

Non-response Bias – groups under-represented in survey b/c they chose not to participate

Measurement Bias – data collection method misestimates population characteristics

Response Bias – false/misleading answers given because of sensitive survey questions

Page 22: Sections  2.3 – 2.6  Recap

Intentional bias –

Unintentional bias –

Leading questions –

Loaded questions -

Page 23: Sections  2.3 – 2.6  Recap

Intentional bias – used to manipulate stats in favour of a certain point of view

Unintentional bias – can be introduced if sampling and data collection methods are not chosen carefully

Leading questions – can give suggested answers which causes a bias

Loaded questions – contains wording or information intended to influence respondents’ answers

Page 24: Sections  2.3 – 2.6  Recap

Any bias below?

Can the proposed record level of

healthcare expenditures be justified in

view of the enormous deficits facing the

Canadian people and the pressing social

needs that are currently unmet?

Page 25: Sections  2.3 – 2.6  Recap

2.5 Measure of Central Tendency

What does the above mean?

Page 26: Sections  2.3 – 2.6  Recap

2.5 Measure of Central Tendency

What does the above mean?

values around which a set of data tends

to cluster

Page 27: Sections  2.3 – 2.6  Recap

What is the difference between and ?

Page 28: Sections  2.3 – 2.6  Recap

What is the difference between and ? refers to mean of population

refers to mean of sample

Page 29: Sections  2.3 – 2.6  Recap

What is the difference between and ?

Page 30: Sections  2.3 – 2.6  Recap

Hand back quizzes & … Exercise: Calculate mean quiz mark with

proper weights

Knowledge/Understanding 40%

Application 30%

Communication 10%

Thinking 20%

Page 31: Sections  2.3 – 2.6  Recap

Grade 10 Exam Question on Determining the Centroid

Page 32: Sections  2.3 – 2.6  Recap

Grade 10 Exam Question on Determining the Centroid

x mean = (1+3+5)/3 = 3

y mean = (2+4+0)/3= 2

centroid = (3, 2)

Page 33: Sections  2.3 – 2.6  Recap

You can calculate x mean, y mean & z mean to get centroid of 3D objects

Page 34: Sections  2.3 – 2.6  Recap

Grade 10 breaks down when weights are applied. Consider bottom right vertex mass = 2.2 kg top vertex mass = 5.7 kg left vertex mass = 0.2 kg Determine the center of the mass

Page 35: Sections  2.3 – 2.6  Recap

x mean = [1(0.2)+3(5.7)+5(2.2)] / (0.2 + 5.7 + 2.2) = 3.5

y mean = [2(0.2)+4(5.7)+0(2.2)] / (0.2 + 5.7 + 2.2) = 2.9

Grade 10 breaks down when weights are applied. Consider bottom right vertex mass = 2.2 kg top vertex mass = 5.7 kg left vertex mass = 0.2 kg Determine the center of the mass

Page 36: Sections  2.3 – 2.6  Recap

2.6 Measures of Spread

We’ll do this tomorrow

Page 37: Sections  2.3 – 2.6  Recap

Review Questions Q #1, 5, 6, 7, 9, 11, 14

Page 151-152