Unit3, Section3: Are You Asking Me?
Instructional Days: 9
A survey is a data collection method that is administered to a sample. The sample is fraction of the target population. The sample must be representative of the population and random sampling is used to ensure an equal chance of being selected. A census is a special survey that collects data from the entire population. Sampling error and bias cause problems in analysis made from survey data.
Students will view a video clip from the game show Family Feud to begin to think about survey
components. The video can be found at:
S-IC 1: Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
S-IC 3: Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.
S-IC 6: Evaluate reports based on data.
S-IC B.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.
Understand that bias and sampling error should be minimized when conducting surveys. The wording of questions, as well as who is asked to participate in a survey, can lead to bias. Learn that sampling error can be minimized when larger random samples are collected from a population.
• Create random samples of different sizes to make estimates about a population.
• Create informal confidence intervals based on sample medians.
Students will use complex sentences to construct summary statements about their understanding of data, how it is collected, how it is used, and how to work with it.
Students will engage in partner and whole group discussions and presentations to express their understanding of data science concepts.
Students will write questions that emphasize differences in data science concepts and skills.
Data File or Data Collection Method
- American Time-Use Survey (ATUS) data
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