Education Technology
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You Are What You Eat

This activity involves data analysis of the number of fat grams versus calories in fast food hamburgers.
https://education.ti.com/en/activity/detail/you-are-what-you-eat_1

Chicago Chase Activity

In this activity, students will predict qualifying speeds and tire wear.
https://education.ti.com/en/activity/detail/chicago-chase-activity

Chirp, Jump, Scatter

In this activity, students will find a best fit line for data graphed as scatter plots. Applications of linear relationships provide motivation for students and improve their skills and understanding of finding the equation of a line from two known points. Movable lines make this activity approac...
https://education.ti.com/en/activity/detail/chirp-jump-scatter_1

Real Graphs

This lesson involves identifying patterns of data from given lists.
https://education.ti.com/en/activity/detail/real-graphs

Proportions in Stories

This lesson involves inputting data into a table, observing the data on coordinate plane, and inputting an equation that corresponds with the table of values.
https://education.ti.com/en/activity/detail/proportions-in-stories

Say It With a Survey

This lesson involves using given bivariate and multivariate categorical data to display bar charts and construct two-way tables.
https://education.ti.com/en/activity/detail/say-it-with-a-survey

Toying with a Walk

This lesson involves collecting time data as a walker moves at a constant pace.
https://education.ti.com/en/activity/detail/toying-with-a-walk

Comparing Double Line Graphs and Box Plots

Students are given a data table and are asked to look at the double-line graph to understand the trends that they observe in regards to indoor and drive-in movie theaters. They are then asked to investigate the trends that are presented to them when a box plot is created with the same data. Stud...
https://education.ti.com/en/activity/detail/comparing-double-line-graphs-and-box-plots

What is a p-value?

This lesson involves beginning with a null hypothesis specifying the mean of a normally distributed population with a given standard deviation.
https://education.ti.com/en/activity/detail/what-is-a-pvalue_1

What is a p-Value?

Students begin with a null hypothesis specifying the mean of a normally distributed population with a given standard deviation.
https://education.ti.com/en/activity/detail/what-is-a-pvalue

SD: Measure of Spread

This lesson is intended as an introductory activity to the concept of standard deviation.
https://education.ti.com/en/activity/detail/sd--measure-of-spread

SD: How Far is Typical?

This lesson involves gaining a basic understanding of what standard deviation is measuring by examining the location of data around the mean.
https://education.ti.com/en/activity/detail/sd--how-far-is-typical

Standard Error and Sampling Means

This lesson involves investigating the relationship between the standard deviation of a population, the area of a set of rectangles, and the standard deviation of the sampling distribution of sample mean areas of the rectangles.
https://education.ti.com/en/activity/detail/standard-error-and-sampling-means

Center and Spread

Students will recognize that the mean and standard deviation (SD) and the median and interquartile range (IQR) are two ways to measure center and spread.
https://education.ti.com/en/activity/detail/center-and-spread

Half-Life

Students will explore exponential decay through an experiment and use the gathered data to generate an exponential regression equation. Students will then repeat the process with a data set and forecast future results.
https://education.ti.com/en/activity/detail/halflife

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

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

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

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

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

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

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

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 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