## MAFS.7.SP.1.2: Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.

There are 61 resources.
Title Description Thumbnail Image Curriculum Topics

## Math in the News Collection: Applications of Data Analysis

### Ove

Data Analysis, Data Gathering, Probability, Percents and Ratios and Rates

## Math Clip Art Collection: Statistics

### Overview This collectio

Data Analysis, Probability, Data Gathering and Counting

## Math Video Collection: Video Tutorials Series: Measures of Central Tendency

### Overview This collec

Data Analysis and Data Gathering

Data Analysis

Data Analysis

## Math Definitions Collection: Statistics and Probability

Data Analysis, Probability and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Finding the Mean of a Data Set I

### Closed Captioned Video: Measures of Central Tendency: Finding the Mean of a Data Set I In this video tutorial students learn how to calculate the mean when all of the data items are positive numbers. Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Finding the Mean of a Data Set II

### Closed Captioned Video: Measures of Central Tendency: Finding the Mean of a Data Set II In this video tutorial students learn how to calculate the mean when some of the data items are negative numbers. Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Finding the Median of a Data Set

### Closed Captioned Video: Measures of Central Tendency: Finding the Median of a Data Set In this video tutorial students learn how to find the median of a data set. The mean is also calculated so that students can learn similarities and differences between these two measures of central tendency. Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Finding the Mode of a Data Set

### Closed Captioned Video: Measures of Central Tendency: Finding the Mode of a Data Set In this video tutorial students learn how to calculate the mode of a data set, as well as how the mode differs from the mean and median.Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Mean of a Probability Distribution

### Closed Captioned Video: Measures of Central Tendency: Mean of a Probability Distribution In this video tutorial students learn about the mean of a probability distribution. Includes a brief discussion of expected value, plus a brief tie-in to weighted means. Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Sample Mean

### Closed Captioned Video: Measures of Central Tendency: Sample Mean In this video tutorial students learn about sample mean from a random sampling of data. All examples involve normally distributed data with a known population mean and standard deviation. Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: The Mean and Normally Distributed Data

### Closed Captioned Video: Measures of Central Tendency: The Mean and Normally Distributed Data In this video tutorial students learn about normally distributed data and how to identify the population mean from the normal distribution. Standard deviation is briefly introduced. Includes three real-world examples.

Data Analysis and Data Gathering

## Closed Captioned Video: Measures of Central Tendency: Weighted Mean

### Closed Captioned Video: Measures of Central Tendency: Weighted Mean In this video tutorial students extend their understanding of mean by looking at examples of weighted means (sometimes referred to as weighted averages). Includes three real-world examples.

Data Analysis and Data Gathering

Data Gathering

Data Gathering

Data Gathering

Data Gathering

Data Gathering

Data Gathering

Data Analysis

Data Analysis

Data Gathering

Data Gathering

Data Gathering