Helping students learn how to use built-in functions on the TI nspire
Students will follow step-by-step directions to become familiar with how to use the TI nspire's built in functions. Tutorial includes converting to decimal, approximating fractions, finding remainders, finding LCM, using factorials, creating mixed numbers, and factoring numbers to their prime fac...https://education.ti.com/en/activity/detail/helping-students-learn-how-to-use-builtin-functions-on-the-ti-nspire
Composite Rectangular Figures
Students will find the perimeter and area of a composite rectangular figure. They will explain how to find the measures (lengths) of unknown sides as well as the area of the entire polygon by dividing the figure into smaller rectangular figures.https://education.ti.com/en/activity/detail/composite-rectangular-figures
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
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
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
Goodness-Of-Fit
Students test claims of whether given distributions "fit" theoretical distributions. Students will work through two problems, one in which the theoretical proportions of each category are the same and one in which they are not. Students will use spreadsheets to calculate test statistics and the I...https://education.ti.com/en/activity/detail/goodnessoffit_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
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
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
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
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
Candy Pieces
...ould have come from a manufacturing process designed to produce equal proportions of each color. They will then use a chi-square test for goodness-of-fit to determine if there is a significant difference between the proportions they find in the sample and those they would expect if the manufactur...https://education.ti.com/en/activity/detail/candy-pieces_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
Properties of Logarithms
Logarithms are just another way of writing exponents. Just like exponents, logarithms have properties that allow you to simplify expressions and solve equations. In this activity, students Will discover some of these properties by graphing and confirm them with algebra.https://education.ti.com/en/activity/detail/properties-of-logarithms
Natural Logarithm
Construct the graph of the natural logarithm function from its definition.https://education.ti.com/en/activity/detail/natural-logarithm