# Activities

# Subject: Statistics

# Pedagogy

- Campus-Based Learning 1 match
- Cooperative Learning 7 matches
- Gallery Walk 1 match
- Games 1 match
- Interactive Lectures 6 matches
- Lecture 6 matches
- Making and Testing Conjectures 6 matches
- Quantitative Reasoning 6 matches
- Quantitative Skills 6 matches
- Simulation of Data 7 matches
- Teaching with Data 7 matches
- Teaching with Models 5 matches

Results 11 - 20 of **34 matches**

Using Your Hair to Understand Descriptive Statistics part of Testing Conjectures:Examples

The purpose of this activity is to enhance students’ understanding of various descriptive measures in statistics. In particular, students will gain a visual understanding of means, medians, quartiles, and boxplots without doing any computations by completing this activity.

An In-Class Experiment to Estimate Binomial Probabilities part of Testing Conjectures:Examples

This hands-on activity asks students to conduct a binomial experiment and calculate a confidence interval for the true probabiity. It is useful for involving students, and for having a discussion about the interpretation of confidence intervals and the role of sample size in estimation.

Seeing and Describing the Predictable Pattern: The Central Limit Theorem part of Testing Conjectures:Examples

This activity helps students develop a better understanding and stronger reasoning skills about the Central Limit Theorem and normal distributions. Key words: Sample, Normal Distribution, Model, Distribution, Variability, Central Limit Theorem (CLT)

Histogram Sorting Using Cooperative Learning part of Cooperative Learning:Examples

Intended as an early lesson in an introductory statistics course, this lesson uses cooperative learning methods to introduce distributions. Students develop awareness of the different versions of particular shapes (e.g., different types of skewed distributions, or different types of normal distributions), and that there is a difference between models (normal, uniform) and characteristics (skewness, symmetry, etc.).

Body Measures: Exploring Distributions and Graphs Using Cooperative Learning part of Cooperative Learning:Examples

This lesson is intended as an early lesson in an introductory statistics course. The lesson introduces distributions, and the idea that distributions help us understand central tendencies and variability. Cooperative learning methods, real data, and structured interaction emphasize an active approach to teaching statistical concepts and thinking.

Understanding the standard deviation: What makes it larger or smaller? part of Cooperative Learning:Examples

Using cooperative learning methods, this activity helps students develop a better intuitive understanding of what is meant by variability in statistics.

How well can hand size predict height? part of Cooperative Learning:Examples

This activity is deigned to introduce the concepts of bivariate relationships. It is one of the hands-on activities of the ‘real-time online hands-on activities’. Students collect their own data, enter and retrieve the data in real time. Data are stored in the web database and are shared on the net.

Statistics and Error Rates in Death Penalty Cases part of Cooperative Learning:Examples

Nature of the chi-square distribution part of Cooperative Learning:Examples

Explaining the chi-square and F distributions in terms of the behavior of variables constructed by generating random samples of normal variates and summing the sqaures of the values.

Using an Applet to Demonstrate a Sampling Distribution part of Interactive Lectures:Examples

Introducing sampling distribution through cooperative learning among students using a group activity. Afterwards, use the sampling distribution applet to illustrate.