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Bone Density (NASA)

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https://education.ti.com/en/activity/detail/bone-density-nasa

The Derivatives of Logs

Students will use the Chain Rule to find the derivative of more complex exponential and logarithmic functions.
https://education.ti.com/en/activity/detail/the-derivatives-of-logs

Exploring Asymptotes

In this activity, students will explore asymptotes and singularities, paying particular attention to the connection between the algebraic and graphical representations.
https://education.ti.com/en/activity/detail/exploring-asymptotes

Exploring Inverse Functions

Students will investigate the fundamental concept of an inverse, generate the inverse graphs of relations applying this concept, and algebraically determine the inverse.
https://education.ti.com/en/activity/detail/exploring-inverse-functions

Binomial Experiments

Students use the multiplication rule for independent events to find the probability of the first success in the nth trial. Students use their results to derive and test a general formula. Then, students expand on this foundation to derive and test a rule for the probability of x successes in n tr...
https://education.ti.com/en/activity/detail/binomial-experiments

Volume by Cross Sections

Students will be introduced to the concept of finding the volume of a solid formed by cross sections of a function that form certain shapes.
https://education.ti.com/en/activity/detail/volume-by-cross-sections_1

Exponential Growth

The purpose of this exploration is to investigate properties of exponential functions including the relationship between the graphical and algebraic forms of the functions.
https://education.ti.com/en/activity/detail/exponential-growth

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

Introduction to the Central Limit Theorem

Students discover the Central Limit Theorem by simulating rolls of two, four, and seven number cubes via the random number generator.
https://education.ti.com/en/activity/detail/introduction-to-the-central-limit-theorem_1

Interpreting R -squared

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

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

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

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

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

Solids of Revolution

Students will investigate 3D visualizations of volumes created by rotating a function about the x-or y-axis. They will understand the concept and reason for the volume formula in order to be prepared for generalizations. Students will solve the definite integral by hand using the fundamental theo...
https://education.ti.com/en/activity/detail/solids-of-revolution

Taylor Polynomial Examples

Taylor polynomials associated with five common functions.
https://education.ti.com/en/activity/detail/taylor-polynomial-examples

Random Samples

Compare the results of the three estimation methods to show that random samples of rectangles provide estimates that, on average, are closer to the true population mean than the other two methods.
https://education.ti.com/en/activity/detail/random-samples

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

Resampling

This lesson involves approximate sampling distributions obtained from simulations based directly on a single sample. The focus of the lesson is on conducting hypothesis tests in situations for which the conditions of more traditional methods are not met.
https://education.ti.com/en/activity/detail/resampling

t Distributions

Students compare the t distribution to the standard normal distribution and use the invT command to find critical values for a t distribution.
https://education.ti.com/en/activity/detail/iti-distributions_1

How Many?

Students will explore Bernoulli probabilities. They will use them to calculate the probabilities of various single and cumulative events. They will also explore the Bernoulli probability distribution.
https://education.ti.com/en/activity/detail/how-many

Transforming Relationships

In this activity, students will assess the strength of a linear relationship using a residual plot. They will also calculate the correlation coefficient and coefficient of determination to assess the data set. Students will then learn to transform one or two variables in the relationship to creat...
https://education.ti.com/en/activity/detail/transforming-relationships_1