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
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
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
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
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
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
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
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
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
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 Prices
Students will compare average U.S. gasoline prices per gallon for two years. Then they will use the mean and standard deviation (SD) and the median and interquartile range (IQR) to measure the center and spread of price data.https://education.ti.com/en/activity/detail/comparing-prices
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
Local Linearity
Visualize the idea of derivative as local slope.https://education.ti.com/en/activity/detail/local-linearity
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
Conditional Probability
This lesson involves thinking about probability when additional information is given.https://education.ti.com/en/activity/detail/conditional-probability
NASA - Robonaut 2: First Humanoid Robot in Space
NASA uses robots in many ways to help with space exploration. When it’s possible for robots to perform tasks, rather than people, there are some obvious advantages. Robots do not have to eat, drink, breathe, or sleep. They can perform tasks over and over in exactly the same way without gett...https://education.ti.com/en/activity/detail/nasa--robonaut-2-first-humanoid-robot-in-space
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