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Testing Claims About Proportions

Students find z-scores and critical values to test claims about proportions. To verify the results, they find P-values by either finding the area under the curve with the Integral tool, or by using the 1-Prop z Test command.
https://education.ti.com/en/activity/detail/testing-claims-about-proportions_1

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

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

Meaning of Power

In this lesson, samples are generated from a population for a particular hypothesis test, leading to the conjecture that the null hypothesis is actually false.
https://education.ti.com/en/activity/detail/meaning-of-power

Claims About Two Proportions

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

Exponent Rules

This activity allows students to work independently to discover rules for working with exponents, such as the Power of a Power rule. Students also investigate the value of a power whose exponent is zero or negative. As an optional extension, students investigate the value of a power whose exponen...
https://education.ti.com/en/activity/detail/exponent-rules

Riemann Rectangle Errors

Use three Riemann sums used to estimate the area of a plane region.
https://education.ti.com/en/activity/detail/riemann-rectangle-errors

Center of Mass

Students will identify and interpret the mean geometrically as the location of the coins on the ruler such that the sum of the distances on either side of the mean is the same.
https://education.ti.com/en/activity/detail/center-of-mass

Mean Value Theorem

Calculate slopes of secant lines, create tangent lines with the same slope, and note observations about the functions and slopes.
https://education.ti.com/en/activity/detail/mean-value-theorem_1

Maximums, Minimums, and Zeroes

Determine when a function has a maximum or minimum based on the derivative of the function.
https://education.ti.com/en/activity/detail/maximums-minimums-and-zeroes

Local Linearity

Visualize the idea of derivative as local slope.
https://education.ti.com/en/activity/detail/local-linearity

Confidence Intervals for Proportions

This lesson involves the concept of confidence intervals as a tool to make statements about a population proportion based on a given sample.
https://education.ti.com/en/activity/detail/confidence-intervals-for-proportions_1

Confidence Intervals for Means

This activity investigates generating a confidence interval for the mean of a random sample of size 100 from an unknown population.
https://education.ti.com/en/activity/detail/confidence-intervals-for-means_1

Conditional Probability

This lesson involves thinking about probability when additional information is given.
https://education.ti.com/en/activity/detail/conditional-probability

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

NASA - Space Shuttle Launch

Student examine the ascent stage of a NASA space shuttle.
https://education.ti.com/en/activity/detail/nasa--space-shuttle-launch

NASA - Space Shuttle Guidance, Navigation, and Control Data

In this activity, students will see how the position of the shuttle is deteremined and how the GNC officer ensures that the space shuttle arrives at its pre-determined destination as outlined by mission objectives.
https://education.ti.com/en/activity/detail/nasa--space-shuttle-guidance-navigation-and-control-data

NASA - Space Shuttle Ascent

This activity will engage students in a space shuttle launch and introduce them to the different events that take place during the space shuttle's ascent into space.
https://education.ti.com/en/activity/detail/nasa--space-shuttle-ascent_1

Are They Truly Random?

Students will develop lists of random numbers generated by the TI-Nspire handheld. They will explore their set of numbers and engage in a discussion of whether the random number generator is truly generating numbers at random. In addition, students will look at statistical models of their num...
https://education.ti.com/en/activity/detail/are-they-truly-random

MVT for Integrals

Demonstrate how the average value of a function over an interval is related to the definite integral.
https://education.ti.com/en/activity/detail/mvt-for-integrals

Are You Confident?

A brief review of the normal distribution in Problem 1 followed by a visual development of confidence intervals in Problem 2 using simulated data.
https://education.ti.com/en/activity/detail/are-you-confident

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

Areas In Intervals

Students use several methods to determine the probability of a given normally distributed value being in a given interval. First, they use the Integral tool to find areas under the curve and to the left of given values. Students continue the activity to find probabilities for which the correspond...
https://education.ti.com/en/activity/detail/areas-in-intervals

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

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