Math Nspired - Stats - Sampling Distributions by Texas Instruments

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Statistics: Sampling Distributions Classroom Activities		Download
$Statistics_10PercentRule$ 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. Standards Textbook	TI-Nspire™ CX series	Download3,525
Central Limit Theorem This lesson involves examining distributions of sample means of random samples of size n from four different populations. Standards Textbook	TI-Nspire™ CX series	Download3,532
$Statistics_FamilyOfTCurves$ Family of t Curves This lesson involves investigating how a t-distribution compares to a normal distribution. Standards Textbook	TI-Nspire™ CX series TI-Nspire™ CX CAS/CX II CAS TI-Nspire™	Download3,157
$17266$ 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. Standards Textbook	TI-Nspire™ CX series TI-Nspire™ CX CAS/CX II CAS	Download3,231
$Statistics_SamplingDistributions$ Sampling Distributions This lesson involves examining samples from a normal population and observing the distribution of the means of those samples. Standards Textbook	TI-Nspire™ CX series TI-Nspire™ CX CAS/CX II CAS	Download4,929
$17264$ 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. Standards Textbook	TI-Nspire™ CX series TI-Nspire™ CX CAS/CX II CAS TI-Nspire™	Download3,230
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. Standards Textbook	TI-Nspire™ CX series TI-Nspire™ CX CAS/CX II CAS	Download4,540
Why t? This lesson involves examining the variability of individual elements and their related standardized test statistics when those elements are drawn randomly from a given normally-distributed population. Standards Textbook	TI-Nspire™ CX series TI-Nspire™ CX CAS/CX II CAS	Download3,181

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