Education Technology
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Resampling

This lesson involves approximate sampling distributions obtained from simulations based directly on a single sample. The focus of the lesson is on conducting hypothesis tests in situations for which the conditions of more traditional methods are not met.
https://education.ti.com/en/activity/detail/resampling

Trend or Noise?

This lesson involves investigating aspects of statistical information reported in the media or other venues, aspects that are often misunderstood by those unfamiliar with sampling.
https://education.ti.com/en/activity/detail/trend-or-noise

Transforming Univariate Data

This lesson involves square root, logarithmic, square, and exponentiation transformations of skewed univariate data using a given data set.
https://education.ti.com/en/activity/detail/transforming-univariate-data

Transforming Relationships

In this activity, students will assess the strength of a linear relationship using a residual plot. They will also calculate the correlation coefficient and coefficient of determination to assess the data set. Students will then learn to transform one or two variables in the relationship to creat...
https://education.ti.com/en/activity/detail/transforming-relationships_1

Transforming Bivariate Data

This lesson involves square root, semi-log, and log-log transformations of curved bivariate data using given data sets.
https://education.ti.com/en/activity/detail/transforming-bivariate-data

Tossing Dice

This lesson involves simulating tossing two fair dice, recording the sum of the faces, and creating a dotplot of the sums.
https://education.ti.com/en/activity/detail/tossing-dice

Why np Min?

This lesson involves examining the general shape of binomial distributions for a variety of values of n and p.
https://education.ti.com/en/activity/detail/why-np-min

Why Divide by n-1?

Students will investigate calculating a sample variance using both n and n-1 as the divisor for samples drawn with and without replacement.
https://education.ti.com/en/activity/detail/why-divide-by-n1

Two-way Tables and Association

This lesson involves analyzing the results of a survey using a two-way frequency table.
https://education.ti.com/en/activity/detail/twoway-tables-and-association

What’s Normal, Anyway?

In this activity, students explore the normal distribution and several of its most interesting properties. First, they use a histogram of data from a binomial experiment to examine the general shape of a normal curve. Then, they use a dynamic illustration to make observations, using sliders to ch...
https://education.ti.com/en/activity/detail/whats-normal-anyway

What’s My Model?

Students will investigate several different regression models and determine which of the models makes the most sense, based upon a real-world situation (cooling a cup of hot chocolate).
https://education.ti.com/en/activity/detail/whats-my-model

Type 2 Error

This activity allows students to experiment with different alpha levels and alternative hypotheses to investigate the relationship among types of error and power.
https://education.ti.com/en/activity/detail/type-2-error

Population Mean: σ unknown

Students calculate confidence intervals to estimate the true population mean when the standard deviation of the population is not known.
https://education.ti.com/en/activity/detail/population-mean-σ-unknown

Normal Probability Plot

This lesson involves creating a normal probability plot for several data sets involving height to examine the appearance of such plots when the distribution is approximately normal.
https://education.ti.com/en/activity/detail/normal-probability-plot

NASA - Spacewalk Training

In this activity, students will plot data, looks at patterns, and draw conclusions given a real-world context of astronauts training in the Neutral Buoyancy Laboratory (NBL) in Houston, TX.
https://education.ti.com/en/activity/detail/nasa--spacewalk-training

NASA - Maintaining Bone Mineral Density

In this activity students perform an appropriate test to determine the answer to the question "Is using the iRED exercise method significantly better than using the treadmill and bicycle in maintaining bone density?"
https://education.ti.com/en/activity/detail/nasa--maintaining-bone-mineral-density

Multiple Boxplots

This lesson involves analyzing three parallel boxplots.
https://education.ti.com/en/activity/detail/multiple-boxplots

Monopoly and Regression

This lesson involves analyzing the association between the number of spaces from Go and the cost of the property on a standard Monopoly board.
https://education.ti.com/en/activity/detail/monopoly-and-regression

Means With Confidence

Students estimate the true mean of a population when the standard deviation is known by finding the sample mean, margin of error and confidence interval.
https://education.ti.com/en/activity/detail/means-with-confidence_1

Re-Expressing Data

The students will learn to re-express data as a linear relationship even though the raw data does not fit a linear model. Students will learn important concepts involving data transformation and re-expression.
https://education.ti.com/en/activity/detail/reexpressing-data

Comparing Linear and Exponential Functions

Compare data from two different scenarios -- linear and exponential growth.
https://education.ti.com/en/activity/detail/comparing-linear-and-exponential-functions_1

Position and Piecewise Velocity

This lesson involves creating and comparing graphical representations of velocity and position based on real-life scenarios.
https://education.ti.com/en/activity/detail/position-and-piecewise-velocity

Comparing Linear and Exponential Data

Compare a linear and an exponential relationship.
https://education.ti.com/en/activity/detail/comparing-linear-and-exponential-data

Box Plots & Histograms

Students create and explore a box plot and histogram for a data set. They then compare the two data displays by viewing them together and use the comparison to draw conclusions about the data.
https://education.ti.com/en/activity/detail/box-plots--histograms

It's a Parallelogram, You Say?

Students represent complex numbers in the complex plane as points or vectors and display the sum and difference of two complex numbers as diagonals of the parallelograms they define.
https://education.ti.com/en/activity/detail/its-a-parallelogram-you-say_1