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S-IC-3

S-ID-4

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Unit 1
3 cycles
(4 weeks?)

Unit 2
3 cycles
(6 weeks)

Unit 3
3 cycles
(6 weeks)

*Finals week

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Unit 1 (8/10-8/28)
Cycle 1
Cycle 3
(2.5 weeks)
Put cycle 2 in Unit 6

Unit 2 (8/31-10/9)
3 cycles
(6 weeks)

Unit 3 (10/12-11/20)
3 cycles
(6 weeks)

*2 buffer weeks
*Finals week

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Unit 2
4 Cycles
August 10 - Sept. 18
(6 weeks);
time for beginning of year stuff

Unit 3
3 Big Cycles
Sept. 21 - Nov. 6
(6 weeks)
district testing?

Unit 1
3 Cycles
Nov. 9 - Dec. 18
(3 weeks + 2 weeks buffer)
finals?

Potentially do other stats unit at beginning of semester 2

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3. How can we be better consumers of statistical data and not be fooled by every new study that comes out?

4. What are the best practices for collecting and analyzing data?

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Randomness helps prevent bias in survey sampling and asking clear, fair questions in the survey wording.
In experiments and observational studies, randomness to avoid confounding.

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1)  Should we, as consumers, be skeptical of conclusions that others draw from statistics? Why or why not?

2) How do we defend against bias in surveys and confounding in experiments?

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Analyze the details of the survey addressing each of four steps of the reasoning process.
Address each of the types of bias.
Look at observational study, identify false positive and false negative.

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1) (State) Develop a statistical question in the form of a hypothesis
2) (Plan) Choose a probability model for collecting data
3) (Do) Collect Data
4) (Conclude) Analyze Data
Pg 603 of Framework 1st paragraph

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1) (State) Develop a statistical question in the form of a hypothesis
2) (Plan) Choose a probability model for collecting data
3) (Do) Collect Data
4) (Conclude) Analyze Data
Pg 603 of Framework 1st paragraph

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you wouldn't want to take a sample of 10 for a population of 1,000,000....that would skew the results

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1) (State) Develop a statistical question in the form of a hypothesis
2) (Plan) Choose a probability model for collecting data
3) (Do) Collect Data
4) (Conclude) Analyze Data
Pg 603 of Framework 1st paragraph

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Surveys
Observational Studies
Experiments

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Good
Simple random
Stratified random
Cluster
Systematic
Bad
Volunteer
Convenience

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Question (could be changed): How can I use the appropriate degree of precision for this problem - in my mathematics, in my vocabulary, and in how I ask survey questions?

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census vs. sample

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Use understanding of types of studies to look at media reports and decide if appropriate inferences have been drawn

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EQ- purposes of and differences among sample surveys, experiments, and observational studies;

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Understand how decisions based on sample data are related to probability

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Understand how decisions based on sample data are related to probability

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Does not guarantee a correct answer

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Purposes of each type of gathering of data

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Purposes of each type of gathering of data

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effect that randomizing has instead of nonrandom

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effect that randomizing has instead of nonrandom

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consistent results for a model/variability

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consistent results for a model/variability

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Question Order
Two Questions in One
Biased Wording
Desire to Please