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Statistics: Sampling Distributions Classroom ActivitiesDownload
Statistics_10PercentRule

10% Rule

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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.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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  • TI-Nspire™ CAS
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17261

Central Limit Theorem

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

Family of <i>t</i> Curves

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This lesson involves investigating how a t-distribution compares to a normal distribution.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
  • TI-Nspire™ Navigator™
  • TI-Nspire™
  • TI-Nspire™ CAS
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17266

German Tanks: Exploring Sampling Distributions

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

Sampling Distributions

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This lesson involves examining samples from a normal population and observing the distribution of the means of those samples.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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17264

Standard Error and Sampling Means

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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.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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  • TI-Nspire™ CAS
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Statistics_WhyNpMin

Why Divide by n-1?

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Students will investigate calculating a sample variance using both n and n-1 as the divisor for samples drawn with and without replacement.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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  • TI-Nspire™ CAS
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07-14-2015 Image001

Why t?

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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.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
  • TI-Nspire™ Navigator™
  • TI-Nspire™
  • TI-Nspire™ CAS
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