a. Reporting the number of observations.

b. Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.

c. Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.

d. Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.

Title | Description | Thumbnail Image | Curriculum Topics |
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## Apple Harvest |
## DescriptionIn this module students analyze real-world data relating to apple production and consumption. Looking at global and US data, students look at measures of central tendency by analyzing a box-and-whisker plot and later normal distribution graphs. Math topics covered include: |
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## VIDEO: Algebra Applications: Data Analysis |
## VIDEO: Algebra Applications: Data AnalysisIn this episode of Algebra Applications, students explore the dramatic events of 2008 related to the mortgage crisis. Brought about principally through mortgage defaults, the effect on the overall economy was severe. |
Data Analysis, Data Gathering | |

## VIDEO: Algebra Nspirations: Data Analysis and Probability |
## VIDEO: Algebra Nspirations: Data Analysis and ProbabilityWhat are the two meanings of statistics? What does it really mean that an event has a 50% probability of occurring? Why are data analysis and probability always taught together? Written and hosted by internationally acclaimed math educator Dr. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: A Probability Simulation 2 |
## Closed Captioned Video: A Probability Simulation 2In this TI Nspire tutorial, the Spreadsheet and Statistics windows are used to create a probability simulation of a coin toss. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Probability | |

## Closed Captioned Video: A Probability Simulation 3 |
## Closed Captioned Video: A Probability Simulation 3In this TI Nspire tutorial, the Spreadsheet and Statistics windows are used to create a probability simulation of tossing two coins. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Probability | |

## Closed Captioned Video: Algebra Applications: Data Analysis |
## Closed Captioned Video: Algebra Applications: Data AnalysisIn this episode of Algebra Applications, students explore the dramatic events of 2008 related to the mortgage crisis. Brought about principally through mortgage defaults, the effect on the overall economy was severe. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Applications: Data Analysis, 1 |
## Closed Captioned Video: Algebra Applications: Data Analysis, Segment 1: IntroductionIn this introductory segment students learn about the mortage crisis of 2008. In the process they get a brief introduction to what a mortgage is. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Applications: Data Analysis, 2 |
## Closed Captioned Video: Algebra Applications: Data Analysis, Segment 2: What Is a Mortgage?The time value of money is at the basis of all loans. Students learn about the key factors that determine monthly mortgage payments and use the TI-Nspire to create an amortization table. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Applications: Data Analysis, 3 |
## Closed Captioned Video: Algebra Applications: Data Analysis, Segment 3: What Is a What is a Subprime Mortgage?Having learned the general features of a mortgage, students learn the specifics of a subprime mortgage. With this comes the notion of a credit score, and with credit scores come the probabilities for a loan default. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Applications: Data Analysis, 4 |
## Closed Captioned Video: Algebra Applications: Data Analysis, Segment 4: What is an Adjustable Rate Mortgage?Another factor in the mortgage crisis was the use of adjustable rate mortgages. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Nspirations: Data Analysis and Probability |
## Closed Captioned Video: Algebra Nspirations: Data Analysis and ProbabilityWhat are the two meanings of statistics? What does it really mean that an event has a 50% probability of occurring? Why are data analysis and probability always taught together? Written and hosted by internationally acclaimed math educator Dr. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Nspirations: Data Analysis and Probability, 1 |
## Closed Captioned Video: Algebra Nspirations: Data Analysis and Probability, Segment 1In this Investigation we explore uncertainty and randomness. This video is Segment 1 of a 4 segment series related to Data Analysis and Probability. Segments 1 and 2 are grouped together. |
Data Analysis, Data Gathering | |

## Closed Captioned Video: Algebra Nspirations: Data Analysis and Probability, 3 |
## Closed Captioned Video: Algebra Nspirations: Data Analysis and Probability, Segment 3In this Investigation we look at real-world data involving endangered wolf populations. This video is Segment 3 of a 4 segment series related to Data Analysis and Probability. Segments 3 and 4 are grouped together. |
Data Analysis, 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 IIn 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, 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 IIIn 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, 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 SetIn 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, 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 SetIn 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, 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 DistributionIn 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, Data Gathering | |

## Closed Captioned Video: Measures of Central Tendency: Sample Mean |
## Closed Captioned Video: Measures of Central Tendency: Sample MeanIn 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, 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 DataIn 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, Data Gathering | |

## Closed Captioned Video: Measures of Central Tendency: Weighted Mean |
## Closed Captioned Video: Measures of Central Tendency: Weighted MeanIn 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, Data Gathering | |

## Closed Captioned Video: Probability Simulation 1 |
## Closed Captioned Video: Probability Simulation 1In this TI Nspire tutorialthe Spreadsheet and Statistics windows are used to create a probability simulation of tossing two dice. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Probability | |

## Closed Captioned Video: Random Number Table |
## Closed Captioned Video: Random Number TableIn this TI Nspire tutorial, the Spreadsheet window is used to create a random number table. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Probability | |

## Definition--Statistics and Probability Concepts--Population |
## Definition--Statistics and Probability Concepts--PopulationThis is part of a collection of definitions on the topic of probability and statistics. Each definition includes an example of the term. |
Data Gathering | |

## Formulas--Mean |
## Formulas--MeanThe formula for the Mean. |
Data Analysis |