Education Technology

### 10% Rule

This lesson involves investigating the differences between the standard deviations of sampling distributions of means for samples taken from finite populations with and without replacement.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS
• TI-Nspire™
• TI-Nspire™ CAS

### Central Limit Theorem

This lesson involves examining distributions of sample means of random samples of size n from four different populations.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS

### Family of t Curves

This lesson involves investigating how a t-distribution compares to a normal distribution.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS
• TI-Nspire™
• TI-Nspire™ CAS

### German Tanks: Exploring Sampling Distributions

In this lesson, students will estimate the largest number of a population based on random samples from the population, as statisticians did in WWII.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS

### Sampling Distributions

This lesson involves examining samples from a normal population and observing the distribution of the means of those samples.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS

### Standard Error and Sampling Means

This lesson involves investigating the relationship between the standard deviation of a population, the area of a set of rectangles, and the standard deviation of the sampling distribution of sample mean areas of the rectangles.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS
• TI-Nspire™
• TI-Nspire™ CAS

### Why Divide by n-1?

Students will investigate calculating a sample variance using both n and n-1 as the divisor for samples drawn with and without replacement.
• TI-Nspire™ CX/CX II
• TI-Nspire™ CX CAS/CX II CAS