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Solids Of Revolution Between Two Curves

Students will investigate 3D visualizations of volumes created by rotating two functions 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 t...
https://education.ti.com/en/activity/detail/solids-of-revolution-between-two-curves

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 Polynomials with CAS

Powerful tool for discussing graphs of Taylor polynomials.
https://education.ti.com/en/activity/detail/taylor-polynomials

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

Trend or Noise?

This lesson involves investigating aspects of statistical information reported in the media or other venues, aspects that are often misunderstood by those unfamiliar with sampling.
https://education.ti.com/en/activity/detail/trend-or-noise

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

Tossing Dice

This lesson involves simulating tossing two fair dice, recording the sum of the faces, and creating a dotplot of the sums.
https://education.ti.com/en/activity/detail/tossing-dice

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

Why np Min?

This lesson involves examining the general shape of binomial distributions for a variety of values of n and p.
https://education.ti.com/en/activity/detail/why-np-min

Why Divide by n-1?

Students will investigate calculating a sample variance using both n and n-1 as the divisor for samples drawn with and without replacement.
https://education.ti.com/en/activity/detail/why-divide-by-n1

What’s My Model?

Students will investigate several different regression models and determine which of the models makes the most sense, based upon a real-world situation (cooling a cup of hot chocolate).
https://education.ti.com/en/activity/detail/whats-my-model

Population Mean: σ unknown

Students calculate confidence intervals to estimate the true population mean when the standard deviation of the population is not known.
https://education.ti.com/en/activity/detail/population-mean-σ-unknown

Normal Probability Plot

This lesson involves creating a normal probability plot for several data sets involving height to examine the appearance of such plots when the distribution is approximately normal.
https://education.ti.com/en/activity/detail/normal-probability-plot

Means With Confidence

Students estimate the true mean of a population when the standard deviation is known by finding the sample mean, margin of error and confidence interval.
https://education.ti.com/en/activity/detail/means-with-confidence_1

Re-Expressing Data

The students will learn to re-express data as a linear relationship even though the raw data does not fit a linear model. Students will learn important concepts involving data transformation and re-expression.
https://education.ti.com/en/activity/detail/reexpressing-data

Computing with Mathematical Formulas

Evaluate formulas for given values of a variable.
https://education.ti.com/en/activity/detail/computing-with-mathematical-formulas

Cell Phone Range

Students will learn to identify the domain and range of various real-world step functions. They will graphically explore numerical data points and observe step functions. Open and closed points on a graph are investigated and discussed.
https://education.ti.com/en/activity/detail/cell-phone-range_1

Multiplicity of Zeros of Functions

Students will utilize graphs and equations of five polynomial functions to determine the zeros of the functions and whether the functions cross the x-axis at these zeros or just touch the x-axis at the zeros. Then students will determine the degree of the polynomial functions and the effect the d...
https://education.ti.com/en/activity/detail/multiplicity-of-zeros-of-functions

Building Sequences and Series with a Spreadsheet

This lesson has students create sequences and series in a spreadsheet.
https://education.ti.com/en/activity/detail/building-sequences-and-series-with-a-spreadsheet

Binomial Probability in Baseball

In this activity, students will explore the link between Pascal's Triangle, the Binomial Theorem, and binomial probability experiments.
https://education.ti.com/en/activity/detail/binomial-probability-in-baseball

Car MPG Activity using Central Tendencies

This activity involves students finding the measures of central tendencies using mpg data from 25 cars.
https://education.ti.com/en/activity/detail/car-mpg-activity-using-central-tendencies

Make the Basket

Students will use parametric equations to model two physical situations: making a free throw (basketball) and hitting a home run (baseball). Students will begin exploring the models by using sliders to change to the angle and velocity of the shot or hit. They will then move the time slider to see...
https://education.ti.com/en/activity/detail/make-the-basket