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Testing Goodness-of-Fit and Two-Way Table Chi-Square

Students perform chi-square tests to see if data follows a hypothesized distribution. They also study the two-way table analysis.
https://education.ti.com/en/activity/detail/testing-goodnessoffit-and-twoway-table-chisquare

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/t-distributions

Claims About Two Proportions

Students test claims about two proportions by calculating test statistics, critical values, and P-values, for both one-tailed and two-tailed tests.
https://education.ti.com/en/activity/detail/claims-about-two-proportions_1

NUMB3RS - Season 2 - "Soft Target" - Are You Sure?

In "Soft Target," Charlie uses Linear Discriminant Analysis (LDA), a multiple regression method, to predict the next terrorist attack. This method, like many others used to predict events, may use a tree diagram to visualize possibilities. The use of tree diagrams is seen in probability.
https://education.ti.com/en/activity/detail/numb3rs--season-2--soft-target--are-you-sure

Survey Project

Students survey other students (numerical and non numerical data) and calculate measures of central tendency (if possible) of data and make regular box-an-whisker plots and outlier box-and-whisker plots to analyze the data.
https://education.ti.com/en/activity/detail/survey-project

Chi-Squared Tests

In this activity, students will look at a problem situation that involves categorical data and will determine which is the appropriate chi-square test to use: the chi-squared goodness of fit or the chi-squared two-way test.
https://education.ti.com/en/activity/detail/chisquare-distributions

Car Sales

In this activity, students' will create a box and whisker plot using a list. The list will be sent using TI-Navigator™ and contains the number of car sales since 1970. They will determine the values in the box plot and answer some additional questions.
https://education.ti.com/en/activity/detail/car-sales

Comparing Two Means

Students test hypotheses concerning means of two populations by calculating the test statistic and the critical values and graphing the critical region.
https://education.ti.com/en/activity/detail/comparing-two-means

Collecting Pens (Continued)

In this activity, students learn how to instruct the calculator to collect and organize the results from several trials of a simulation designed to find out how many boxes of cereals a customer would have to buy to collect all six color pens. Students enter a prewritten program, analyze the resul...
https://education.ti.com/en/activity/detail/collecting-pens-continued

Describing One-Variable Data

Students sort data and display it graphically using various plots. They also get familiarized with statistical concepts like measures of spread and central tendency.
https://education.ti.com/en/activity/detail/describing-onevariable-data

Collecting Pens

Students explore simulation strategies to solve real world problems involving probability and randomness. They use the Monte Carlo procedure to simulate the collecting of six different colored felt-tipped markers from boxes of Kellogg's cereals. They examine and analyze summary statistics and sta...
https://education.ti.com/en/activity/detail/collecting-pens

Describing Categorical Data

Students analyze the distribution of categorical data. They calculate percents and visually compare the data sets with a bar chart.
https://education.ti.com/en/activity/detail/describing-categorical-data

Collecting Data

In this activity, students investigate how to use random numbers to collect samples and how to randomly assign subjects to experiments to collect data. They also use the CBL system to collect data in real time.
https://education.ti.com/en/activity/detail/collecting-data

Assessing Normalcy

Students use four criteria to determine if a data set is normal. They begin by looking at a histogram to determine if it is symmetric and bell-shaped.
https://education.ti.com/en/activity/detail/assessing-normalcy

Describing Bivariate Data (Two Quantitative Variables)

Students explore the relationship between two quantitative variables in bivariate data using various x-y plots. They compare the relationships for several categories on the same plot. Students calculate the correlation coefficient to measure the strength and direction of the linear relationship t...
https://education.ti.com/en/activity/detail/describing-bivariate-data-two-quantitative-variables

Density Curves

Students will be introduced to density curves as a simple analysis of a data set. They also will investigate where the median and mean lie on symmetric or skewed graphs.
https://education.ti.com/en/activity/detail/density-curves

Assessing Approximate Normality in AP Statistics

In this activity, students are sent 5 lists of data to study. The groups must use previously-discussed strategies for determining if each set could have reasonably come from a normal distribution.
https://education.ti.com/en/activity/detail/assessing-approximate-normality-in-ap-statistics

Is it Rare?

Students use the Poisson distribution to determine the probabilities for various numbers of hurricanes hitting the United States in a given year.
https://education.ti.com/en/activity/detail/is-it-rare

NUMB3RS - Season 2 - "Mind Games" - Thumbs Up!

In "Mind Games," the FBI hires a psychic to help them solve a series of murders. To test how good he is, they show him the backs of a set of 25 playing cards and ask him to predict whether each is red or black. He gets every single one wrong. In this activity, students conduct an experiment and ...
https://education.ti.com/en/activity/detail/numb3rs--season-2--mind-games--thumbs-up

Data Analysis: Home Runs in Major League Baseball

This activity provides an opportunity to collect data from the internet, and perform data analysis employing capabilities of the TI-83/84.
https://education.ti.com/en/activity/detail/data-analysis-home-runs-in-major-league-baseball

Interpreting Confidence Intervals

This activity is used in conjuntion with the famous M&M's experiment for introducing confidence intervals in AP Statistics. Navigator is used to allow each student to contribute the endpoints of a CI obtained from their own sample of M&M's. Quick polls are used to questions student confidence i...
https://education.ti.com/en/activity/detail/interpreting-confidence-intervals

Approximation of Pi Using Statistical Testing

Students will use a Monte Carlo method to collect data. This data, along with an area model of pi, will be used to approximate pi.
https://education.ti.com/en/activity/detail/approximation-of-pi-using-statistical-testing

Analyzing Variance (ANOVA)

Students analyze variances of various data samples.
https://education.ti.com/en/activity/detail/analyzing-variance-anova

Finding the Maximum Product

In this activity, students use the CellSheet™ Application to organize data. They solve a problem of finding two positive integers equal to or greater than zero with a given sum and the maximum product.
https://education.ti.com/en/activity/detail/finding-the-maximum-product

Math TODAY: Dangerous Births

Using the USA TODAY® Snapshot "Dangerous Births," students will explore the geometric relationships of triangles using perpendicular bisectors of the sides, bisectors of the angles and medians of the triangle. They will explore the three concurrent lines formed that pass through a single point. S...
https://education.ti.com/en/activity/detail/math-today-dangerous-births