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Exploring the Normal Curve Family

Students will investigate the relationship of the equation of a normal curve to its graph. They will use a slider to change the values of two parameters, μ and σ, to investigate their effects on the normal curve, noting in particular that μ represents the location of the mean and that σ represent...
https://education.ti.com/en/activity/detail/exploring-the-normal-curve-family

The Integrated Medical Model

As NASA is designing a new spacecraft capable of taking humans into deep space, and with the future advent of commercial spaceflight, a deeper and better understanding of medical risk has become even more vital for maintaining spaceflight safety and health for humans.
https://education.ti.com/en/activity/detail/the-integrated-medical-model

The German Tank Problem

Students will develop an understanding of sampling distributions by exploring the methods used to estimate the number of German tanks in existence during WWII
https://education.ti.com/en/activity/detail/the-german-tank-problem

Solve Me - One and Two-Step Inequalities

Students will use the TI-Nspire CAS to check their steps used to solve one and two-step inequalities. They will also use the solve feature to verify that they have the correct solution at the end of each problem. While solving inequalities, many students make careless mistakes with simplifying...
https://education.ti.com/en/activity/detail/solve-me--one-and-twostep-inequalities

Solve Me - Multi-Step Equations

Students will use the TI-Nspire CAS to check the steps they used to solve multi-step equations and equations with variables on both sides. They will also use the solve feature to verify that they have the correct solution at the end of each problem. While solving equations, many students make ...
https://education.ti.com/en/activity/detail/solve-me--multistep-equations

Sampling

Students learn about each of the four types of random sampling methods and use the randInt command to find each kind of sample from a given population.
https://education.ti.com/en/activity/detail/sampling_1

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.
https://education.ti.com/en/activity/detail/german-tanks-exploring-sampling-distributions

Testing Claims About Proportions

Students find z-scores and critical values to test claims about proportions. To verify the results, they find P-values by either finding the area under the curve with the Integral tool, or by using the 1-Prop z Test command.
https://education.ti.com/en/activity/detail/testing-claims-about-proportions_1

Z-Scores

This lesson involves finding the area under the standard normal curve with mean 0 and standard deviation 1 for a given distance from the mean and compare this to the area under the curve for another member of the family of normal curves.
https://education.ti.com/en/activity/detail/zscores

Riemann Rectangle Errors

Use three Riemann sums used to estimate the area of a plane region.
https://education.ti.com/en/activity/detail/riemann-rectangle-errors

Candy Pieces

Students will be introduce to hypothesis testing. Students are given the number of pieces by color in a bag of candy. They are asked if they think the bag could have come from a manufacturing process designed to produce equal proportions of each color. They will then use a chi-square test for goo...
https://education.ti.com/en/activity/detail/candy-pieces_1

Chi-Square Distributions

Students compare the Chi-Square distribution to the standard normal distribution and determine how the Chi-Square distribution changes as they increase the degrees of freedom.
https://education.ti.com/en/activity/detail/chisquare-distributions_1

Maximums, Minimums, and Zeroes

Determine when a function has a maximum or minimum based on the derivative of the function.
https://education.ti.com/en/activity/detail/maximums-minimums-and-zeroes

MacLaurin Polynomials

Students will use TI-Nspire technology to explore MacLaurin polynomials. They will develop polynomials that approximate very special functions.
https://education.ti.com/en/activity/detail/maclaurin-polynomials_1

Confidence Intervals for Proportions

This lesson involves the concept of confidence intervals as a tool to make statements about a population proportion based on a given sample.
https://education.ti.com/en/activity/detail/confidence-intervals-for-proportions_1

Confidence Intervals for 2 Sample Proportions

Do senior citizens and college students have different memories about high school? The activity Confidence Intervals: 2-Sample Proportions involves investigating random samples from two populations from a large Midwestern city with respect to the question: "When you were in high school, did you h...
https://education.ti.com/en/activity/detail/confidence-intervals-for-2-sample-proportions

Conditional Probability

This lesson involves thinking about probability when additional information is given.
https://education.ti.com/en/activity/detail/conditional-probability

Solving Systems of Linear Equations with Row Reductions to Echelon Form on Augmented Matrices

This activity shows the user how to interpret a system of linear equations as an augmented matrix, row reduce the matrix to echelon form, and interpret the output to give a unique solution, generate infinite solutions, or conclude no solutions exist. The activity also shows how to check unique so...
https://education.ti.com/en/activity/detail/solving-systems-of-linear-equations-with-row-reductions-to-echelon-form-on-augmented-matrices

Cancer Clusters

Students will investigate cancer incidence rates in a number of states. Hypothesis testing is introduced and used along with a two-proportion z-test to compare cancer rates. This activity helps students to determine when a difference in data is actually statistically significant. This should enco...
https://education.ti.com/en/activity/detail/cancer-clusters

Move Those Chains

In this activity, students will explore the Chain Rule. Students are asked to make a conjecture of the derivative of f(x) = (2x + 1)2 based on the Power Rule. They are then asked to graph their derivative function and compare it to the graph of f´(x). They will then examine "true" statements abou...
https://education.ti.com/en/activity/detail/move-those-chains

Are You Confident?

A brief review of the normal distribution in Problem 1 followed by a visual development of confidence intervals in Problem 2 using simulated data.
https://education.ti.com/en/activity/detail/are-you-confident

The Second Fundamental Theorem of Calculus

Students make visual connections between a function and its definite integral.
https://education.ti.com/en/activity/detail/the-second-fundamental-theorem-of-calculus_1

Areas In Intervals

Students use several methods to determine the probability of a given normally distributed value being in a given interval. First, they use the Integral tool to find areas under the curve and to the left of given values. Students continue the activity to find probabilities for which the correspond...
https://education.ti.com/en/activity/detail/areas-in-intervals

But What Do You Mean?

In this activity, students learn about the concept of mean or average, in addition to learning several ways to find the mean on the TI-Nspire handheld (including using a spreadsheet and the mean command). Students also use these methods to find the mean when given the frequencies of each number i...
https://education.ti.com/en/activity/detail/but-what-do-you-mean

Box Plots Introduction

This lesson involves representing distributions of data using box plots. The emphasis is on helping students understand the relationship between individual data values and the five-number summary. Students will move data within a dot plot and observe the changes within the corresponding box plot...
https://education.ti.com/en/activity/detail/box-plots-introduction