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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

The First Fundamental Theorem of Calculus

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

The First Fundamental Theorem of Calculus

Make visual connections between a function and its definite integral.
https://education.ti.com/en/activity/detail/the-first-fundamental-theorem-of-calculus

The Classic Box Problem - Calculus

The Box_Problem_Calculus.tns document takes a classic problem from calculus and uses the dynamic linking capabilities of TI-Nspire to enact the problem in multiple representations: diagramatic, graphic, numeric, geometric, and symbolic. The problem is posed on the title screen shown at the right.
https://education.ti.com/en/activity/detail/the-classic-box-problem--calculus

Binomial Pdf- Eye Color

This lesson involves binomial trials, distributions, and probabilities. Students can create the tns file following the steps in Binomial_Pdf_Create_Eye_Color, or they can use the premade file Binomial_Pdf_Eye_Color.tns
https://education.ti.com/en/activity/detail/binomial-pdf-eye-color

Rectangle and Trapezoid Approximations to Definite Integrals

Use visual representation of area estimation methods in order to determine which is most accurate.
https://education.ti.com/en/activity/detail/trapezoid-and-midpoint-rules

Assessing Normality

In this activity, students will learn four characteristics of a normal curve: the distribution is symmetric and mound-shaped; the mean and median are approximately equal; the distribution meets the 68-95.5-99.7 rule; and the normal probability plot is linear. They will use these to determine if a...
https://education.ti.com/en/activity/detail/assessing-normality

Exponentialis ~ Logarithmus

In this story-style activity, students work through a step-by-step review of solving exponential equations using logarithms. At first, they are guided through process of using logarithms and checking them, with the help of 'Terry Plotter the mathemagician'. Then, students review identities and pr...
https://education.ti.com/en/activity/detail/exponentialis--logarithmus

Graphical Analysis

Students will analyze graphs of polynomials finding intervals over which the function is increasing or decreasing and positive or negative, as well as the function’s relative minimum and maximum values and x- and y-intercepts.
https://education.ti.com/en/activity/detail/graphical-analysis

Graphs of Polynomial Functions

The activity begins by having students compare functions to introduce the concept of end behavior. Then they graph cubics and quartics, noting the respective end behaviors for positive and negative leading coefficients. Finally, they compare quadratics to quartics and cubics to quintics to discov...
https://education.ti.com/en/activity/detail/graphs-of-polynomial-functions

How Many? (Precalculus)

Students will be presented a situation in which they must use linear programming to determine the optimum production level to maximize profits.
https://education.ti.com/en/activity/detail/how-many-precalculus

One- and Two-Variable Statistics--Review

In this activity, students will review the concepts that they have learned thus far in statistics. The first part of the activity includes one-variable topics such as graphing quantitative variables, calculating measures of central tendency and spread, and making comparisons. The second part incl...
https://education.ti.com/en/activity/detail/one-and-twovariable-statisticsreview_1

Hypothesis Testing: Means

Students test a claim about a mean with a large sample size using the test statistic and the critical value. They also find the area under the curve to find the p value. Then, students will see how the result would change if they used a one-percent significance level or smaller sample size. An op...
https://education.ti.com/en/activity/detail/hypothesis-testing-means_1