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
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
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
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
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
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
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
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
How Many Solutions?
Students graph systems of linear functions to determine the number of solutions. In the investigation, students are given one line and challenged to draw a second line that creates a system with a particular number of solutions.https://education.ti.com/en/activity/detail/how-many-solutions
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
Half-Life
Students will explore exponential decay through an experiment and use the gathered data to generate an exponential regression equation. Students will then repeat the process with a data set and forecast future results.https://education.ti.com/en/activity/detail/halflife
Box Plots Introduction
... and the five-number summary. Students will move data within a dot plot and observe the changes within the corresponding box plot and identify particular actions that most directly affect the five-number summary. As a result, students will develop the reasoning skills to recognize properties of ...https://education.ti.com/en/activity/detail/box-plots-introduction
The Classic Box Problem - Calculus
The Box_Problem_Calculus.tns document takes a classic problem from calculus and uses the dynamic linking capabilities of TI-Nspire to enact the problem in multiple representations: diagramatic, graphic, numeric, geometric, and symbolic. The problem is posed on the title screen shown at the right.https://education.ti.com/en/activity/detail/the-classic-box-problem--calculus
Exploring Asymptotes
In this activity, students will explore asymptotes and singularities, paying particular attention to the connection between the algebraic and graphical representations.https://education.ti.com/en/activity/detail/exploring-asymptotes
Binomial Experiments
Students use the multiplication rule for independent events to find the probability of the first success in the nth trial. Students use their results to derive and test a general formula. Then, students expand on this foundation to derive and test a rule for the probability of x successes in n tr...https://education.ti.com/en/activity/detail/binomial-experiments
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
Introduction to the Central Limit Theorem
Students discover the Central Limit Theorem by simulating rolls of two, four, and seven number cubes via the random number generator.https://education.ti.com/en/activity/detail/introduction-to-the-central-limit-theorem_1