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Goodness-Of-Fit

Students test claims of whether given distributions "fit" theoretical distributions. Students will work through two problems, one in which the theoretical proportions of each category are the same and one in which they are not. Students will use spreadsheets to calculate test statistics and the I...
https://education.ti.com/en/activity/detail/goodnessoffit_1

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

Finding Extraneous Solutions

Students will solve different types of equations step by step graphically. They will discover that some of the equations have an extraneous solution and they will investigate at which step in solving the equation that these "extra" solutions appear.
https://education.ti.com/en/activity/detail/finding-extraneous-solutions

Claims About Two Proportions

Students test claims about two proportions by calculating test statistics, critical values, and P-values, for both one- and two-tailed tests.
https://education.ti.com/en/activity/detail/claims-about-two-proportions

Exponent Rules

This activity allows students to work independently to discover rules for working with exponents, such as the Power of a Power rule. Students also investigate the value of a power whose exponent is zero or negative. As an optional extension, students investigate the value of a power whose exponen...
https://education.ti.com/en/activity/detail/exponent-rules

Linear Inequalities

Students first look at tables of values to see that inequalities are true for some values of the variable and not for others. They then graph simple inequalities, comparing the handheld output with graphs they create on paper. The last two problems have students solve one-step linear inequalities...
https://education.ti.com/en/activity/detail/linear-inequalities

Comparing Two Means

In this activity, students will test hypotheses concerning means of two populations. They calculate the test statistic and the critical values and then graph the critical region and plot the value of the test statistic.
https://education.ti.com/en/activity/detail/comparing-two-means_1

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

Intersecting the Solutions

In this teacher-led activity, students will learn to solve systems of equations graphically. They will learn the relationship between the algebraic and graphical solutions and create equations that draw upon this connection.
https://education.ti.com/en/activity/detail/intersecting-the-solutions

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 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

Difference Between Two Proportions

Students use confidence intervals to estimate the difference of two population proportions. First they find the intervals by calculating the critical value and the margin of error. Then, they use the 2-propZInterval command. Students find confidence intervals for differences in proportions in rea...
https://education.ti.com/en/activity/detail/difference-between-two-proportions_1

Investigating Correlation

This lesson involves investigating the connection between the scatterplot of bivariate data and the numerical value of the correlation coefficient.
https://education.ti.com/en/activity/detail/investigating-correlation

Interpreting R -squared

This lesson involves predicting values of a particular variable.
https://education.ti.com/en/activity/detail/interpreting-r-squared

Slopes of Secant Lines

Collect data about the slope of a secant line and then predict the value of the slope of the tangent line.
https://education.ti.com/en/activity/detail/slopes-of-secant-lines

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

Slope Fields

Use a visual representation of the family of solutions to a differential equation.
https://education.ti.com/en/activity/detail/slope-fields

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

Sequences

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