Give Every Roster Member a Selection Chance
A simple random sample can be created by selecting distinct random identifiers from a complete roster.
About 20 minutes, plus any extended practice
Open lesson 1Sampling and Compound Chance
A complete population, a selected sample and a probability model are different sources of information. Sampling supports estimates, observed trial counts support experimental proportions, and explicit independence permits multiplication of model probabilities.
Before you begin
- Use ratios and percent proportions; identify equally likely outcomes.
Choose by skill rather than age alone. Read with an adult when useful, revisit a lesson, or explore another grade.
Follow the lesson sequence
Scale a Sample Proportion into an Estimate
A sample proportion divides the counted category by the sample size.
About 20 minutes, plus any extended practice
Open lesson 2Use the Trials Actually Observed
An experimental proportion describes successful outcomes in a supplied trial record.
About 20 minutes, plus any extended practice
Open lesson 3Multiply Independent Event Probabilities
Independent events have a joint probability equal to the product of their individual probabilities.
About 20 minutes, plus any extended practice
Open lesson 4Review and transfer
After the lessons, try 4 new review cases and a practical task. Each answer has an explanation and a link back to the related lesson.
Open the unit reviewGuest answers are temporary. Keep your own paper or document; this unit does not certify completion or record a school grade.
Topic references
- California CCSS mathematics topic reference: topic reference — Sampling and Compound Chance
These references informed the topic selection. They do not certify complete standards alignment.