Education Technology
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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

Too Many Choices!

Students investigate the fundamental counting principle, permutations, and combinations.
https://education.ti.com/en/activity/detail/too-many-choices_1

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 Normal, Anyway?

In this activity, students explore the normal distribution and several of its most interesting properties. First, they use a histogram of data from a binomial experiment to examine the general shape of a normal curve. Then, they use a dynamic illustration to make observations, using sliders to ch...
https://education.ti.com/en/activity/detail/whats-normal-anyway

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

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

Probability Distributions

Students list outcomes for probability experiments such as flipping a coin, rolling number cubes, and observing the sex of each child born in a family. They use these outcomes to record the values of random variables, such as number of tails, sum of the cubes, and number of boys. Students then cr...
https://education.ti.com/en/activity/detail/probability-distributions_2

Probability Distributions

Students will describe how the distribution of a random sample of outcomes provides information about the actual distribution of outcomes in a discrete sample space.
https://education.ti.com/en/activity/detail/probability-distributions_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

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

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

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

Re-Expressing Data

The students will learn to re-express data as a linear relationship even though the raw data does not fit a linear model. Students will learn important concepts involving data transformation and re-expression.
https://education.ti.com/en/activity/detail/reexpressing-data

Comparing Linear and Exponential Functions

Compare data from two different scenarios -- linear and exponential growth.
https://education.ti.com/en/activity/detail/comparing-linear-and-exponential-functions_1

Computing with Mathematical Formulas

Evaluate formulas for given values of a variable.
https://education.ti.com/en/activity/detail/computing-with-mathematical-formulas

Position and Piecewise Velocity

This lesson involves creating and comparing graphical representations of velocity and position based on real-life scenarios.
https://education.ti.com/en/activity/detail/position-and-piecewise-velocity

Catching the Rays

Students will fit a sinusoidal function to a set of data. The data are the number of hours of daylight starting January 1st and collected on the first and sixteenth days of the months in Thunder Bay, Ontario, Canada.
https://education.ti.com/en/activity/detail/catching-the-rays

Comparing Linear and Exponential Data

Compare a linear and an exponential relationship.
https://education.ti.com/en/activity/detail/comparing-linear-and-exponential-data

Cardioid Patterns - Discover Using Graphs

This activity will give students an opportunity to discover a pattern in the graphs of cardioids.
https://education.ti.com/en/activity/detail/cardioid-patterns--discover-using-graphs

Cell Phone Range

Students will learn to identify the domain and range of various real-world step functions. They will graphically explore numerical data points and observe step functions. Open and closed points on a graph are investigated and discussed.
https://education.ti.com/en/activity/detail/cell-phone-range_1