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
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
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
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
Linear Inequalities
Students first look at tables of values to see that inequalities are true for some values of the variable and not for others. They then graph simple inequalities, comparing the handheld output with graphs they create on paper. The last two problems have students solve one-step linear inequalities...https://education.ti.com/en/activity/detail/linear-inequalities
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
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
Center and Spread
Students will recognize that the mean and standard deviation (SD) and the median and interquartile range (IQR) are two ways to measure center and spread.https://education.ti.com/en/activity/detail/center-and-spread
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
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
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
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 Proportions
This activity involves generating a confidence interval for a population proportion from a random sample of size 100 and considering how certain one can be that this interval contains the actual population proportion.https://education.ti.com/en/activity/detail/confidence-levels-for-proportions