Florida B.E.S.T. MA.912.DP.5

MA.912.DP.5 is a B.E.S.T. standard. These are the benchmarks under it.

• MA.912.DP.5.1

  Distinguish between a population parameter and a sample statistic.

• MA.912.DP.5.10

  Determine whether differences between parameters are significant using simulations.

• MA.912.DP.5.11

  Evaluate reports based on data from diverse media, print and digital resources by interpreting graphs and tables; evaluating data-based arguments; determining w...

• MA.912.DP.5.2

  Explain how random sampling produces data that is representative of a population.

• MA.912.DP.5.3

  Compare and contrast sampling methods.

• MA.912.DP.5.4

  Generate multiple samples or simulated samples of the same size to measure the variation in estimates or predictions.

• MA.912.DP.5.5

  Determine if a specific model is consistent within a given process by analyzing the data distribution from a data-generating process.

• MA.912.DP.5.6

  Determine the appropriate design, survey, experiment or observational study, based on the purpose. Articulate the types of questions appropriate for each type o...

• MA.912.DP.5.7

  Compare and contrast surveys, experiments and observational studies.

• MA.912.DP.5.8

  Draw inferences about two populations using data and statistical analysis from two random samples.

• MA.912.DP.5.9

  Compare two treatments using data from an experiment in which the treatments are assigned randomly.

01

What Students Need to Do

Students match a data collection method to a question and explain how sampling choices affect results. They use the collected data to make reasonable claims without overstating what the evidence shows.

02

What Mastery Looks Like

Students choose a survey, observational study, or experiment that fits the question. They select a fair sample, identify possible bias, and make conclusions that match the collection method and evidence.

03

Common Misconceptions

Students may treat a convenience sample as representative or assume a large sample removes all bias. They may also claim cause and effect from a survey or observational study.

04

How to Assess It

Give students a school lunch survey that sampled only student athletes. Ask them to identify the flaw, propose a better sample, and state one justified inference.

1. 01

   Place colored cubes in a hidden bag, let groups choose a sampling method, collect samples, and estimate the bag's color distribution.

2. 02

   Ask students to explain whether surveying the first 30 students entering school can represent the whole student body.

3. 03

   Give teams scenario cards to sort into survey, observational study, or experiment, then award points for identifying bias and valid conclusions.

4. 04

   Use local weather records to choose a sampling period and decide what claims the sample supports about typical monthly temperatures.

• MA.3.DP.1

  Collect, represent and interpret numerical and categorical data.