Education Technology
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Influencing Regression

This lesson involves a least-squares regression line fit to a set of nine values.
https://education.ti.com/en/activity/detail/influencing-regression

Influence and Outliers

In this activity, students will identify outliers that are influential with respect to the least-squares regression line. Students will describe the role of the location of a point relative to the other data in determining whether that point has influence on the least-squares regression line.
https://education.ti.com/en/activity/detail/influence-and-outliers

Slope Fields Forever

Dynamically explore a particular solution to a differential equation for different initial conditions and investigate slope fields.
https://education.ti.com/en/activity/detail/slope-fields-forever_1

Simple Harmonic Motion

With an example of the motion of a child on a swing, the activity begins with the trigonometric function between time and displacement and differentiates up to acceleration.
https://education.ti.com/en/activity/detail/simple-harmonic-motion_1

Sequences

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

Second Derivative Grapher

Visualize the relationship between the graph of a function and the graph of its second derivative.
https://education.ti.com/en/activity/detail/second-derivative-grapher

Sign of the Derivative

Make a connection between the sign of the derivative and the increasing or decreasing nature of the graph.
https://education.ti.com/en/activity/detail/sign-of-the-derivative

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

Looking Normal

This lesson involves examining multiple samples taken from a single approximately normal population.
https://education.ti.com/en/activity/detail/looking-normal

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

Label Analysis (NASA)

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

Somewhere in the Middle

In this activity, students will explore the Mean Value Theorem. Students will find out when the tangent line is parallel to the secant line passing through the endpoints of an interval to help them find the values of c guaranteed to exist by the MVT. Students will also test functions where the hy...
https://education.ti.com/en/activity/detail/somewhere-in-the-middle_1

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

Tossing Dice

This lesson involves simulating tossing two fair dice, recording the sum of the faces, and creating a dotplot of the sums.
https://education.ti.com/en/activity/detail/tossing-dice

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

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

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

Normal Probability Plot

This lesson involves creating a normal probability plot for several data sets involving height to examine the appearance of such plots when the distribution is approximately normal.
https://education.ti.com/en/activity/detail/normal-probability-plot

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