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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

Complex Roots: A Graphical Solution

In this activity, you will explore the relationship between the complex roots of a quadratic equation and the related parabola's graph.
https://education.ti.com/en/activity/detail/complex-roots-a-graphical-solution

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

Bone Density (NASA)

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

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

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

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

Velocity, Position, Distance

Work with linked representations of the horizontal motion of an object.
https://education.ti.com/en/activity/detail/velocity-position-distance

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

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

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

Sequences

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

Second Derivative Grapher

Visualize the relationship between the graph of a function and the graph of its second derivative.
https://education.ti.com/en/activity/detail/second-derivative-grapher

Sign of the Derivative

Make a connection between the sign of the derivative and the increasing or decreasing nature of the graph.
https://education.ti.com/en/activity/detail/sign-of-the-derivative

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

Makin' It Through The Winter

Students simulate a binomial distribution and calculate probabilities for a variety of situations involving binomial probability distributions.
https://education.ti.com/en/activity/detail/makin-it-through-the-winter_1

Looking Normal

This lesson involves examining multiple samples taken from a single approximately normal population.
https://education.ti.com/en/activity/detail/looking-normal

Taylor Polynomial Examples

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

Label Analysis (NASA)

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https://education.ti.com/en/activity/detail/label-analysis-nasa

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

Transforming Univariate Data

This lesson involves square root, logarithmic, square, and exponentiation transformations of skewed univariate data using a given data set.
https://education.ti.com/en/activity/detail/transforming-univariate-data

Transforming Bivariate Data

This lesson involves square root, semi-log, and log-log transformations of curved bivariate data using given data sets.
https://education.ti.com/en/activity/detail/transforming-bivariate-data

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