Education Technology
< Previous | 8375 - 8400 of 15910 results |  Next >

Comparing Double Line Graphs and Box Plots

Students are given a data table and are asked to look at the double-line graph to understand the trends that they observe in regards to indoor and drive-in movie theaters. They are then asked to investigate the trends that are presented to them when a box plot is created with the same data. Stud...
https://education.ti.com/en/activity/detail/comparing-double-line-graphs-and-box-plots

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

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

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

What! A Mistake!

Students learn about Type I and Type II errors. Then, for a given scenario, students will calculate the probabilities of errors and the power of the test.
https://education.ti.com/en/activity/detail/what-a-mistake_1

The Integrated Medical Model

As NASA is designing a new spacecraft capable of taking humans into deep space, and with the future advent of commercial spaceflight, a deeper and better understanding of medical risk has become even more vital for maintaining spaceflight safety and health for humans.
https://education.ti.com/en/activity/detail/the-integrated-medical-model

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 WWII
https://education.ti.com/en/activity/detail/the-german-tank-problem

SD: Measure of Spread

This lesson is intended as an introductory activity to the concept of standard deviation.
https://education.ti.com/en/activity/detail/sd--measure-of-spread

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

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

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

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

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

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

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