Examining Patterens in a Table, Function Rule, and Graphs
In this activity, students will identify characteristics of proportional and non-proportional linear relationships by examining patterns in a table, function rules, and a graph. Students will distinguish between proportional and non-proportional relationships by comparing patterns in table, funct...https://education.ti.com/en/activity/detail/examining-patterens-in-a-table-function-rule-and-graphs
Equations from Unit Rates
This lesson involves finding a linear equation and confirming the equation represents a proportional relationship with numeric values in ordered pairs or in functions tables.https://education.ti.com/en/activity/detail/equations-from-unit-rates
F Distribution
Students study the characteristics of the F distribution and discuss why the distribution is not symmetric (skewed right) and only has positive values. Students then use the Fcdf command to find probabilities and to confirm percentiles. They move on to find critical values and then compute a conf...https://education.ti.com/en/activity/detail/f-distribution_1
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
Exploring the Normal Curve Family
Students will investigate the relationship of the equation of a normal curve to its graph. They will use a slider to change the values of two parameters, m and s, to investigate their effects on the normal curve, noting in particular that m represents the location of the mean and that s represent...https://education.ti.com/en/activity/detail/exploring-the-normal-curve-family_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
Exploring the Normal Curve Family
Students will investigate the relationship of the equation of a normal curve to its graph. They will use a slider to change the values of two parameters, μ and σ, to investigate their effects on the normal curve, noting in particular that μ represents the location of the mean and that σ represent...https://education.ti.com/en/activity/detail/exploring-the-normal-curve-family
What! A Mistake!
Students learn about Type I and Type II errors. Then, for a given scenario, students will calculate the probabilities of errors and the power of the test.https://education.ti.com/en/activity/detail/what-a-mistake_1
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
Effective Blocking
This lesson involves investigating the effectiveness of two mosquito sprays in a large tract of land by using three different experimental designs - one randomized design and two randomized block designs.https://education.ti.com/en/activity/detail/effective-blocking
Solve Me - One and Two-Step Inequalities
Students will use the TI-Nspire CAS to check their steps used to solve one and two-step inequalities. They will also use the solve feature to verify that they have the correct solution at the end of each problem. While solving inequalities, many students make careless mistakes with simplifying...https://education.ti.com/en/activity/detail/solve-me--one-and-twostep-inequalities
Solve Me - Multi-Step Equations
Students will use the TI-Nspire CAS to check the steps they used to solve multi-step equations and equations with variables on both sides. They will also use the solve feature to verify that they have the correct solution at the end of each problem. While solving equations, many students make ...https://education.ti.com/en/activity/detail/solve-me--multistep-equations
Slope - Confidence Interval and Hypothesis Test
This lesson involves investigating the confidence interval and hypothesis test for the slope of a regression line.https://education.ti.com/en/activity/detail/slope--confidence-interval-and-hypothesis-test
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
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
Sampling
Students learn about each of the four types of random sampling methods and use the randInt command to find each kind of sample from a given population.https://education.ti.com/en/activity/detail/sampling_1
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
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
Z-Scores
This lesson involves finding the area under the standard normal curve with mean 0 and standard deviation 1 for a given distance from the mean and compare this to the area under the curve for another member of the family of normal curves.https://education.ti.com/en/activity/detail/zscores
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
Inverse Variation
Students explore multiple representations of the inverse variation function, beginning with a geometric representation (a rectangle with fixed area), and progressing to a table of values, an algebraic expression, and finally a graph.https://education.ti.com/en/activity/detail/inverse-variation
Polar Graphs
Relate polar coordinates to rectangular coordinates and plot polar functions.https://education.ti.com/en/activity/detail/polar-graphs
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
Square it Up!
Students investigate the method of least squares by adding the squares to a scatter plot and moving a line to find the minimum sum. Then they compare their line to the built-in linear regression model.https://education.ti.com/en/activity/detail/square-it-up