A2.S.IC.3-6.12.08.11

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A2.S.IC.3-6
2011
Domain: Making Inferences and Justifying Conclusions
Cluster: Make inferences and justify conclusions from sample surveys, experiments, and observational studies
Standards:
3. Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how
randomization relates to each.
4. Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of
simulation models for random sampling.
5. Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between
parameters are significant.
6. Evaluate reports based on data.
Essential Questions
How do we use statistics to
describe sets of data?
Enduring Understandings
Types of sample populations can
be biased and unbiased.
How do we interpret the
results of a survey?
Margin of error?
Content Statements
Select and draw
conclusions from samples.
Activities, Investigation, and Student Experiences
Students will conduct a survey and analyze results.
 Internet activity
o Use online survey website such as
Surveymonkey to deliver and collect data
A2.S.IC.3-6
Assessments
Describe the difference between an unbiased sample and
a biased sample. (open ended)
Identify the sampling method and identify any bias in
each method.

A supermarket wants to find the percent of shoppers
who uses coupons. A manager interviews every
shopper entering the greeting card aisle
Solution
Convenience sampling; This sampling method over
represents shoppers that buy greeting cards.
A university researcher is studying the effect of watching
television on residents of the city. Describe the sampling
method that can be used for all teenagers.
Solution:
A convenience sampling; interview students at a local high
school.
In a survey of 1600 voters, 51% said that voted for candidate
A. What is the margin of sampling error for the survey?
Answer
2.5%
Equipment Needed:
Teacher Resources:
2011
A2.S.IC.3-6
Office suite
Internet access
www.surveymonkey.com
2011
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