Whole number: Parts of a Whole
This activity involves students in modeling practical situations using the Part-Whole-Part model provided, and identifying the type of operation required. It can be used to lead into building algebraic expressions if desired.https://education.ti.com/en/activity/detail/whole-number-parts-of-a-whole
Rates of Change and Slope
This lesson was designed for the Grade 10 Applied curriculum in Ontario. In that course, students are expected to connect the rate of change of a linear relationship to the slope of a line.https://education.ti.com/en/activity/detail/rates-of-change-and-slope
Texas Chase Activity
In this activity, students will look at g-forces and predicting the Sprint Cup champion using trend lines.https://education.ti.com/en/activity/detail/texas-chase-activity
One and One Equals Win
This lesson involves using proportionality and a basic understanding of probability to make and test conjectures about the results of experiments and simulations.https://education.ti.com/en/activity/detail/one-and-one-equals-win
One Year Makes a Difference
This lesson involves drawing informal comparative inferences about two populations.https://education.ti.com/en/activity/detail/one-year-makes-a-difference
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
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
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
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
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
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
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
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
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
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
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
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
Candy Pieces
Students will be introduce to hypothesis testing. Students are given the number of pieces by color in a bag of candy. They are asked if they think the bag could have come from a manufacturing process designed to produce equal proportions of each color. They will then use a chi-square test for goo...https://education.ti.com/en/activity/detail/candy-pieces_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