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Sequences

Graphically evaluate the limit of a sequence.
https://education.ti.com/en/activity/detail/sequences

Margin of Error and Sample Size

This activity investigates the margin of error for a confidence interval and the relationship between sample size and the margin of error.
https://education.ti.com/en/activity/detail/margin-of-error-and-sample-size

Makin' It Through The Winter

Students simulate a binomial distribution and calculate probabilities for a variety of situations involving binomial probability distributions.
https://education.ti.com/en/activity/detail/makin-it-through-the-winter_1

Olympic Gold (Regression Wisdom)

This activity takes a deeper look into the use of linear regressions. It addresses some of the limitations and common mistakes encountered with regressions.
https://education.ti.com/en/activity/detail/olympic-gold-regression-wisdom

Taylor Polynomials with CAS

Powerful tool for discussing graphs of Taylor polynomials.
https://education.ti.com/en/activity/detail/taylor-polynomials

Percentiles

The goal of this activity is for students to use the area to the left of a value in a normal distribution to find its percentile. The process will then be reversed to find the value for a given percentile.
https://education.ti.com/en/activity/detail/percentiles_ib_ns

Random Samples

Compare the results of the three estimation methods to show that random samples of rectangles provide estimates that, on average, are closer to the true population mean than the other two methods.
https://education.ti.com/en/activity/detail/random-samples

Label Analysis (NASA)

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https://education.ti.com/en/activity/detail/label-analysis-nasa

Trend or Noise?

This lesson involves investigating aspects of statistical information reported in the media or other venues, aspects that are often misunderstood by those unfamiliar with sampling.
https://education.ti.com/en/activity/detail/trend-or-noise

Transforming Univariate Data

This lesson involves square root, logarithmic, square, and exponentiation transformations of skewed univariate data using a given data set.
https://education.ti.com/en/activity/detail/transforming-univariate-data

Family of t Curves

This lesson involves investigating how a t-distribution compares to a normal distribution.
https://education.ti.com/en/activity/detail/family-of-t-curves

Transforming Bivariate Data

This lesson involves square root, semi-log, and log-log transformations of curved bivariate data using given data sets.
https://education.ti.com/en/activity/detail/transforming-bivariate-data

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.
https://education.ti.com/en/activity/detail/why-t

Tootsie Pops & Hand Span

Students will collect data, find the linear regression model of the data, and address aspects of the data that affect regression.
https://education.ti.com/en/activity/detail/tootsie-pops--hand-span

Why np Min?

This lesson involves examining the general shape of binomial distributions for a variety of values of n and p.
https://education.ti.com/en/activity/detail/why-np-min

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.
https://education.ti.com/en/activity/detail/why-divide-by-n1

Two-way Tables and Association

This lesson involves analyzing the results of a survey using a two-way frequency table.
https://education.ti.com/en/activity/detail/twoway-tables-and-association

What’s My Model?

Students will investigate several different regression models and determine which of the models makes the most sense, based upon a real-world situation (cooling a cup of hot chocolate).
https://education.ti.com/en/activity/detail/whats-my-model

Type 2 Error

This activity allows students to experiment with different alpha levels and alternative hypotheses to investigate the relationship among types of error and power.
https://education.ti.com/en/activity/detail/type-2-error

Probability Simulations

Students use the random integer (randInt) command to simulate probability experiments. They also graph the number of trials and corresponding probabilities to observe the Law of Large Numbers. Simulated experiments involve tossing a coin, spinning a spinner, and observing the gender of children i...
https://education.ti.com/en/activity/detail/probability-simulations_1

Population Mean: σ unknown

Students calculate confidence intervals to estimate the true population mean when the standard deviation of the population is not known.
https://education.ti.com/en/activity/detail/population-mean-σ-unknown

NASA - Spacewalk Training

In this activity, students will plot data, looks at patterns, and draw conclusions given a real-world context of astronauts training in the Neutral Buoyancy Laboratory (NBL) in Houston, TX.
https://education.ti.com/en/activity/detail/nasa--spacewalk-training

Multiple Boxplots

This lesson involves analyzing three parallel boxplots.
https://education.ti.com/en/activity/detail/multiple-boxplots

Monopoly and Regression

This lesson involves analyzing the association between the number of spaces from Go and the cost of the property on a standard Monopoly board.
https://education.ti.com/en/activity/detail/monopoly-and-regression

Means With Confidence

Students estimate the true mean of a population when the standard deviation is known by finding the sample mean, margin of error and confidence interval.
https://education.ti.com/en/activity/detail/means-with-confidence_1