Dice Rolling and Probability
Students will utilize the Spreadsheet and Data and Statistics applications in the TI-Nspire handheld. They will create randomly generated data and will plot it in a Dot Plot to recognize relative frequency of outcomes.https://education.ti.com/en/activity/detail/dice-rolling-and-probability
Box Plot Comparison
In this activity, students will create dot plots and box-and-whisker plots of the temperatures of three different cities along the United States' East Coast: Caribou, Maine, Washington, DC, and Tampa, Florida. Students will make dot plots for each city and compare the representations to one ano...https://education.ti.com/en/activity/detail/box-plot-comparison
Comparing Pi's and Roots
This lesson involves manipulating the radius of a circle and the sides of a right triangle in an attempt to set the circumference of the circle equal to the hypotenuse of the right trianglehttps://education.ti.com/en/activity/detail/comparing-pis-and-roots
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
The Integrated Medical Model
As NASA is designing a new spacecraft capable of taking humans into deep space, and with the future advent of commercial spaceflight, a deeper and better understanding of medical risk has become even more vital for maintaining spaceflight safety and health for humans.https://education.ti.com/en/activity/detail/the-integrated-medical-model
Scatterplot Pulse Rates
This lesson involves creating a scatterplot and fitting a line to student pulse rates collected before and after exercise.https://education.ti.com/en/activity/detail/scatterplot-pulse-rates
German Tanks: Exploring Sampling Distributions
In this lesson, students will estimate the largest number of a population based on random samples from the population, as statisticians did in WWII.https://education.ti.com/en/activity/detail/german-tanks-exploring-sampling-distributions
Stratified Sampling
This lesson involves determining which of three different sampling methods - a simple random selection design and two stratified selection designs - would be most beneficial in selecting a survey sample within a given context.https://education.ti.com/en/activity/detail/stratified-sampling
Statistical Inference: Confidence Intervals
The students will construct 1-proportion confidence intervals. This lesson begins by having the students construct a confidence interval with the formula and then leads them through the steps needed to use the Nspire's statistical applications to construct confidence intervals. Students would do ...https://education.ti.com/en/activity/detail/statistical-inference-confidence-intervals
Finding Extraneous Solutions
Students will solve different types of equations step by step graphically. They will discover that some of the equations have an extraneous solution and they will investigate at which step in solving the equation that these "extra" solutions appear.https://education.ti.com/en/activity/detail/finding-extraneous-solutions
Confidence Intervals for 2 Sample Proportions
Do senior citizens and college students have different memories about high school? The activity Confidence Intervals: 2-Sample Proportions involves investigating random samples from two populations from a large Midwestern city with respect to the question: "When you were in high school, did you h...https://education.ti.com/en/activity/detail/confidence-intervals-for-2-sample-proportions
Cancer Clusters
Students will investigate cancer incidence rates in a number of states. Hypothesis testing is introduced and used along with a two-proportion z-test to compare cancer rates. This activity helps students to determine when a difference in data is actually statistically significant. This should enco...https://education.ti.com/en/activity/detail/cancer-clusters
But What Do You Mean?
In this activity, students learn about the concept of mean or average, in addition to learning several ways to find the mean on the TI-Nspire handheld (including using a spreadsheet and the mean command). Students also use these methods to find the mean when given the frequencies of each number i...https://education.ti.com/en/activity/detail/but-what-do-you-mean
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
Exponentialis ~ Logarithmus
In this story-style activity, students work through a step-by-step review of solving exponential equations using logarithms. At first, they are guided through process of using logarithms and checking them, with the help of 'Terry Plotter the mathemagician'. Then, students review identities and pr...https://education.ti.com/en/activity/detail/exponentialis--logarithmus
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
One- and Two-Variable Statistics--Review
In this activity, students will review the concepts that they have learned thus far in statistics. The first part of the activity includes one-variable topics such as graphing quantitative variables, calculating measures of central tendency and spread, and making comparisons. The second part incl...https://education.ti.com/en/activity/detail/one-and-twovariable-statisticsreview_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
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 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
Probability Distributions
Students will describe how the distribution of a random sample of outcomes provides information about the actual distribution of outcomes in a discrete sample space.https://education.ti.com/en/activity/detail/probability-distributions_1
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
Monopoly and Regression
This lesson involves analyzing the association between the number of spaces from Go and the cost of the property on a standard Monopoly board.https://education.ti.com/en/activity/detail/monopoly-and-regression
Position and Piecewise Velocity
This lesson involves creating and comparing graphical representations of velocity and position based on real-life scenarios.https://education.ti.com/en/activity/detail/position-and-piecewise-velocity