Sampling Methods, Parameters, and Bias

7 lessons

Goal

Plan data collection studies, differentiate parameters from statistics, and evaluate sampling designs for bias and variation.

Census Versus Sample in Data Collection

7 lessons

0 of 7 done

Census Versus Sample in Data CollectionUp next
Evaluating Sampling Methods and Identifying Sample BiasPremiumNot started yet
Observational Studies Versus Controlled ExperimentsNot started yet
Distinguishing Population Parameters (μ, σ) from Sample Statistics (x̄, s)Not started yet
Simulating Sample Size Effects on Variability with TechnologyNot started yet
Identifying and Preventing Nonresponse and Wording BiasNot started yet
Designing a Valid Statistical Investigation PlanNot started yet

Standards Covered

Curriculum Framework

7 lessons

Plan data collection studies, differentiate parameters from statistics, and evaluate sampling designs for bias and variation.

6 lessons

Calculate and interpret mean, median, mode, and weighted averages while evaluating the impact of extreme values.

6 lessons

Quantify data spread using quartiles, IQR, mean absolute deviation, sum of squared deviations, and sample/population variance.

6 lessons

Construct and interpret histograms and box plots to analyze shape, center, spread, and outliers across data sets.

8 lessons

Construct scatter plots, identify linear and nonlinear patterns, fit informal trend lines, and interpret slope and intercepts.

5 lessons

Construct two-way frequency and relative frequency tables and evaluate associations using conditional distributions.

6 lessons

Calculate theoretical and experimental probabilities, use Venn diagrams, and apply the complement rule and law of large numbers.

6 lessons

Calculate compound probabilities using tree diagrams, counting principles, two-way tables, and probability simulations.