Introduction to Transformations
The purpose of this activity is to use the dynamic capabilities of the TI-Nspire to help students make conjectures about transformations.https://education.ti.com/en/activity/detail/introduction-to-transformations
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 German Tank Problem
Students will develop an understanding of sampling distributions by exploring the methods used to estimate the number of German tanks in existence during WWIIhttps://education.ti.com/en/activity/detail/the-german-tank-problem
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
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
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
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
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
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
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
Polar Necessities
Students graphically and algebraically find the slope of the tangent line at a point on a polar graph.https://education.ti.com/en/activity/detail/polar-necessities
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
Relating Rates - IB
Students are given a situation of water draining out of a cylindrical tank in order to explain the process of solving related rates questions.https://education.ti.com/en/activity/detail/relating-rates_1
Chi-Square Distributions
Students compare the Chi-Square distribution to the standard normal distribution and determine how the Chi-Square distribution changes as they increase the degrees of freedom.https://education.ti.com/en/activity/detail/chisquare-distributions_1
Comparing Two Means
In this activity, students will test hypotheses concerning means of two populations. They calculate the test statistic and the critical values and then graph the critical region and plot the value of the test statistic.https://education.ti.com/en/activity/detail/comparing-two-means_1
MacLaurin Polynomials
Students will use TI-Nspire technology to explore MacLaurin polynomials. They will develop polynomials that approximate very special functions.https://education.ti.com/en/activity/detail/maclaurin-polynomials_1
Confidence Levels for Means
Students will interpret a confidence level as the average success rate of the process used to produce an interval intended to contain the true mean of the population. Students will recognize that as the confidence level increases, on average, the confidence interval increases in width.https://education.ti.com/en/activity/detail/confidence-levels-for-means
Confidence Levels
Students will interpret a confidence level as the average success rate of the process used to produce an interval intended to contain the true mean of the population. They will recognize that as the confidence level increases, on average, the confidence interval increases in width.https://education.ti.com/en/activity/detail/confidence-levels