Site US and Canada

• ##### Device

TI-Nspire™ CX,TI-Nspire™ CX CAS,TI-Nspire™ Navigator™,TI-Nspire™,TI-Nspire™ CAS

• ##### Software

TI-Nspire™,TI-Nspire™ CAS

• ##### TI-Nspire Version

3.0

Statistics: Stratified Sampling
by Texas Instruments - Action Consequence Lesson

Published on October 05, 2011

#### Objectives

• Students will be able to identify situations in which stratification might reduce variation.
• Students will recognize that some stratification designs are useful in reducing variation and some are not.
• Students will recognize that random selection of subject(s) must occur within each stratum.
• Students will recognize that the subjects within each stratum should be as similar as possible and different from the subjects in the other strata based on a variable that has the potential to affect the outcome of the study.
• Look for and make use of structure (CCSS Mathematical Practices).
• Construct viable arguments & critique the reasoning of others (CCSS Mathematical Practices).

#### Vocabulary

• random selection
• simple random sample (SRS)
• stratified random sample
• stratum(a)
• survey

#### About the Lesson

This lesson involves determining which of three different sampling methods - a simple random selection design and two stratified selection designs - would be most beneficial in selecting a survey sample within a given context.
As a result, students will:

• Use a simple random sample (SRS) to select survey participants.
• Use two different stratified random sampling designs to select survey participants.
• Compare means and variability for the three sampling designs to determine the most effective design for this context.