Use the following Media4Math resources with this Illustrative Math lesson.
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Integers: Basic Terms and Definitions | Here we bring together key terms and formulas around the topic of Integers. | Numerical Expressions, Variable Expressions, Sequences, Series, Algebra Tiles--Expressions and Equations and Inequalities | |
Measures of Central Tendency: Basic Terms and Definitions | Here we gather key terms, definitions, and formulas around Measures of Central Tendency.
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Data Analysis and Relations and Functions | |
Measures of Central Tendency: Math Examples I | This is a collection of detailed math examples on the topic of the Mean.
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Data Analysis | |
Measures of Central Tendency: Math Examples II | This is a collection of detailed math examples on the topic of the Median.
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Data Analysis | |
Measures of Central Tendency: Math Examples III | Here is a collection of detailed math examples on the topic of the Mode.
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Data Analysis | |
Measures of Central Tendency: Math Examples IV | Here is a collection of detailed math examples on the topic of the Range.
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Data Analysis | |
Measures of Central Tendency: Quizlet Flash Cards | This is a collection of Quizlet Flash Cards on various topics in Measures of Central Tendency.
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Data Analysis | |
Measures of Central Tendency: Worksheets | Here is a collection of worksheets on various topics in Measures of Central Tendency.
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Data Analysis | |
Measures of Central Tendency: Math Games and Puzzles | This is a collection of games and puzzles on various terms and topics in Data Analysis and Measures of Central Tendency.
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Data Analysis | |
Measures of Central Tendency: Instructional Resources | Here is a collection of instructional resources for various topics in Measures of Central Tendency.
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Data Analysis | |
Holiday Themed Resource Collection: Math in the News |
This is a collection of Holiday-Themed issues of Math in the News.
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Data Analysis, Applications of Exponential and Logarithmic Functions, Surface Area and Volume | |
Math Examples Collection: The Mean | OverviewThe Media4Math collection on Measures of Central Tendency offers a comprehensive set of examples that explore various aspects of mean, median, and mode. This resource provides students with a diverse range of problems that progressively increase in complexity, allowing for a deeper understanding of these fundamental statistical concepts. |
Data Analysis | |
Math Examples Collection: The Median | OverviewThis collection of math examples focuses on Measures of Central Tendency, specifically the Median comprises 40 downloadable JPG images that educators can easily incorporate into their lesson plans. The examples in this collection cover a range of skills related to calculating and understanding the median. They progress in complexity, allowing students to build their knowledge gradually. Visual models are employed throughout the collection to simplify and illustrate concepts, making them more accessible to learners. |
Data Analysis | |
Math Examples Collection: The Mode | OverviewThis comprehensive collection of 78 math examples focuses on the Mode, a key measure of central tendency in statistics. The examples provide a rich resource for educators teaching this fundamental concept. |
Data Analysis | |
Math Examples Collection: Range | OverviewThis collection of math examples focuses on Measures of Central Tendency, specifically the concept of Range. It comprises 26 downloadable JPG images that educators can easily incorporate into their lesson plans. |
Data Analysis | |
Math Worksheet Collection: Data Analysis: Mean, Median, and Mode | Math Worksheet Collection: Data Analysis: Mean, Median, and Mode OverviewThis collection aggregates all the math worksheets around the topic of Data Analysis: Mean, Median, and Mode. There are a total of 60 worksheets. Each worksheet includes an answer key. This collection of resources is made up of downloadable PDF files that you can easily incorporate into your instruction.
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Data Analysis | |
Math Clip Art Collection: Statistics |
OverviewThis collection aggregates all the math clip art around the topic of Statistics. There are a total of 55 images. This collection of resources is made up of downloadable PNG files that you can easily incorporate into a presentation.To download the full set of these resources, click on this link.
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Data Analysis, Probability, Data Gathering and Counting | |
Math Video Collection: Texas Instruments Tutorial Videos |
OverviewThis collection aggregates all the math videos and resources in this series: Texas Instruments Tutorial Videos. There are a total of 266 resources. This collection of resources is made up of downloadable MP4, transcripts, and other resources files that you can easily incorporate into a presentation.
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Rational Expressions, Sequences, Series, Polynomial Functions and Equations, Graphs of Quadratic Functions, Quadratic Equations and Functions, Solving Systems of Equations, Trig Expressions and Identities, Probability, Geometric Constructions with Triangles, Composite Functions, Geometric Constructions with Angles and Planes, Distance Formula, Data Analysis, Slope, Special Functions, Trigonometric Functions, Graphs of Exponential and Logarithmic Functions, Radical Functions and Equations, Rational Functions and Equations, Slope-Intercept Form, Coordinate Systems, Graphs of Linear Functions, Inequalities, Matrix Operations and Midpoint Formula | |
Math Definitions Collection: Sequences and Series | OverviewThis comprehensive collection of definitions on Sequences and Series provides a valuable resource for students and educators alike. It covers essential terms such as arithmetic sequence, geometric sequence, recursive formula, explicit formula, and convergent and divergent series. Understanding these concepts is crucial for students as they form the foundation for more advanced mathematical topics in calculus and beyond. |
Sequences and Series | |
Math Definitions Collection: Statistics and Probability | OverviewThe collection of definitions on the topic of Probability and Statistics from Media4Math is a valuable educational resource designed to enhance students' understanding of key concepts in this field. This collection includes essential terms such as statistic, probability, probability distribution, among others. Each definition is crafted to provide clarity and support students in grasping complex statistical ideas. |
Data Analysis, Probability and Data Gathering | |
Quizlet Flash Card Collection: Measures of Central Tendency |
OverviewThis is a collection of Quizlet Flash Cards on the topic of Measures of Central Tendency. There are a total of 20 Quizlet Flash Card sets.
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Data Analysis | |
Quizlet Flash Card Collection: Find The Middle Term |
OverviewThis is a collection of Quizlet Flash Cards on the topic of Finding the Middle Term. There are a total of 5 Quizlet Flash Card sets.
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Compare and Order Numbers | |
Instructional Resource Collection: The Fibonacci Sequence |
OverviewThis is a collection of lessons on the Fibonacci Sequence. There are six lessons.
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Sequences, Exploring Coordinate Systems, Applications of Exponential and Logarithmic Functions, Ratios and Rates, Proportions, Geometric Constructions with Triangles and Applications of Quadrilaterals | |
Math in the News Collection: Applications of Exponential Functions |
OverviewThis is a collection of Math in the News stories that focus on the topic of Exponential Functions.
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Applications of Exponential and Logarithmic Functions, Applications of Linear Functions, Data Analysis and Sequences | |
Math in the News Collection: Applications of Data Analysis |
OverviewThis is a collection of Math in the News stories that focus on the topic of Data Analysis.
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Data Analysis, Data Gathering, Probability, Percents and Ratios and Rates | |
Math in the News Collection: Business Math |
OverviewThis is a collection of issues of Math in the News that deal with business applications.
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Applications of Exponential and Logarithmic Functions, Data Analysis and Volume | |
Halloween Math Collection |
OverviewThis is a collection of Halloween-themed math clip art and other resources. There are more than 40 resources. To see the complete collection of Math Clip Art, click on this link.
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3-Dimensional Figures, Applications of 3D Geometry, Numerical Expressions, Even and Odd Numbers, Ratios and Rates, Counting, Data Analysis and Divide by 1-Digit Numbers | |
Systems of Equations: Math in the News | Here are several issues of Math in the News that deal with applications of Systems of Equations. | Applications of Linear Systems, Data Analysis and Applications of Quadratic Functions | |
Closed Captioned Video: Box-and-Whisker Plot | Closed Captioned Video: Box-and-Whisker Plot
In this TI Nspire tutorial the Spreadsheet and Statistics windows are used to create a box-and-whisker plot. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Data Analysis | |
Closed Captioned Video: Multiseries Scatterplot | Closed Captioned Video: Multiseries Scatterplot
In this TI Nspire tutorial, Spreadsheet and Graph windows are used to graph a multiseries scatterplot. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. This is part of a collection of closed captioned videos on various math topics. To see the complete collection of the videos, click on this link. Note: The download is Media4Math's guide to closed captioned videos.Related ResourcesTo see additional resources on this topic, click on the Related Resources tab.Video TranscriptsThis video has a transcript available. To see the complete collection of video transcripts, click on this link. |
Data Analysis | |
Closed Captioned Video: Scatterplot 1 | Closed Captioned Video: Scatterplot 1
In this TI Nspire tutorial, Spreadsheet and Graph windows are used to graph a scatterplot. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. This is part of a collection of closed captioned videos on various math topics. To see the complete collection of the videos, click on this link. Note: The download is Media4Math's guide to closed captioned videos.Related ResourcesTo see additional resources on this topic, click on the Related Resources tab.Video TranscriptsThis video has a transcript available. To see the complete collection of video transcripts, click on this link. |
Data Analysis | |
Closed Captioned Video: Scatterplot 2 | Closed Captioned Video: Scatterplot 2
In this TI Nspire tutorial, Spreadsheet and Statistics windows are used to graph a scatterplot. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. This is part of a collection of closed captioned videos on various math topics. To see the complete collection of the videos, click on this link. Note: The download is Media4Math's guide to closed captioned videos.Related ResourcesTo see additional resources on this topic, click on the Related Resources tab.Video TranscriptsThis video has a transcript available. To see the complete collection of video transcripts, click on this link. |
Data Analysis | |
Closed Captioned Video: Creating a Histogram | Closed Captioned Video: Creating a Histogram
In this TI Nspire tutorial, the Spreadsheet and Statistics windows are used to create a histogram. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . This is part of a collection of closed captioned videos on various math topics. To see the complete collection of the videos, click on this link. Note: The download is Media4Math's guide to closed captioned videos.Related ResourcesTo see additional resources on this topic, click on the Related Resources tab.Video TranscriptsThis video has a transcript available. To see the complete collection of video transcripts, click on this link. |
Data Analysis | |
Closed Captioned Video: Mean of a Data List | Closed Captioned Video: Mean of a Data List
In this TI Nspire tutorial, the Spreadsheet and Calculator windows are used to find the mean of a data list. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Data Analysis | |
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: Median of a Data List | Closed Captioned Video: Median of a Data List
In this TI Nspire tutorial, the Spreadsheet and Calculator windows are used to find the median of a data list. This video supports the TI-Nspire Clickpad and Touchpad. This Mini-Tutorial Video includes a worksheet. . |
Data Analysis | |
Definition--Measures of Central Tendency | Measures of Central TendencyTopicStatistics DefinitionThe measures of central tendency is a measure of central tendency that provides an average representation of a set of data. DescriptionThe Measures of Central Tendency is an important concept in statistics, used to summarize data effectively. In real-world applications, the Measures of Central Tendency helps to interpret data distributions and is widely used in areas such as economics, social sciences, and research. For example, if a data set consists of the values 2, 3, and 10, the mean is calculated as (2 + 3 + 10)/3 = 5. |
Data Analysis | |
Definition--Measures of Central Tendency--Average | AverageTopicStatistics DefinitionThe average is a measure of central tendency, calculated by dividing the sum of values by their count. DescriptionIn statistics, the average is crucial for analyzing data sets, revealing trends, and providing insight into overall performance. It’s applicable in various fields, from school grades to business metrics. For example, if a student scores 80, 90, and 100 on three exams, the average can be calculated as follows: Average = (80 + 90 + 100) / 3 = 90. The average is essential in math education as it forms a foundational concept for more advanced statistical analyses. |
Data Analysis | |
Definition--Measures of Central Tendency--Average Speed | Average SpeedTopicStatistics DefinitionAverage speed is the total distance traveled divided by the total time taken. DescriptionThis concept finds application in areas such as physics, transport, and everyday scenarios like calculating travel time. For example, if a car travels 300 km in 3 hours, the average speed is Average Speed = 300 km / 3 hours = 100 km/h. Understanding average speed is key in mathematics as it helps contextualize rate and distance problems in real-life situations. |
Data Analysis | |
Definition--Measures of Central Tendency--Box-and-Whisker Plot | Box-and-Whisker PlotTopicStatistics DefinitionA box-and-whisker plot is a graphical representation of data that displays the distribution through quartiles. DescriptionBox-and-whisker plots are useful for visualizing the spread and skewness of a data set, highlighting the median, quartiles, and potential outliers. They are particularly valuable in comparing distributions across different groups. In real-world applications, box plots are used in quality control processes and in analyzing survey data to identify trends and anomalies. |
Data Analysis | |
Definition--Measures of Central Tendency--Categorical Data | Categorical DataTopicStatistics DefinitionCategorical data refers to data that can be divided into specific categories or groups. DescriptionCategorical data is essential for organizing and analyzing information that falls into distinct categories, such as gender, race, or product type. This type of data is often used in market research, social sciences, and public health studies to identify patterns and relationships between groups. In mathematics, understanding categorical data is crucial for interpreting bar charts, pie charts, and frequency tables. |
Data Analysis | |
Definition--Measures of Central Tendency--Continuous Data | Continuous DataTopicStatistics DefinitionContinuous data is numerical data that can take any value within a range. DescriptionContinuous data is vital for representing measurements such as height, weight, and temperature, which can assume an infinite number of values within a given range. In real-world applications, continuous data is used in fields like engineering, physics, and economics to model and predict outcomes. Understanding continuous data is essential for performing calculations involving integrals and derivatives in calculus. |
Data Analysis | |
Definition--Measures of Central Tendency--Discrete Data | Discrete DataTopicStatistics DefinitionDiscrete data consists of countable values, often represented by whole numbers. DescriptionDiscrete data is commonly used in situations where data points are distinct and separate, such as the number of students in a class or the number of cars in a parking lot. It is crucial for fields like computer science, where discrete structures and algorithms are fundamental. In mathematics, discrete data is used in probability theory and combinatorics, helping to solve problems involving permutations and combinations. |
Data Analysis | |
Definition--Measures of Central Tendency--Geometric Mean | Geometric MeanTopicStatistics DefinitionThe geometric mean is the nth root of the product of n numbers, used to calculate average rates of growth. DescriptionThe geometric mean is particularly useful in finance and economics for calculating compound interest and growth rates. Unlike the arithmetic mean, it is appropriate for data sets with values that are multiplicatively related. For example, the geometric mean of 2, 8, and 32 is calculated as (2 × 8 × 32)1/3 = 8. In mathematics, the geometric mean is essential for understanding exponential growth and decay. |
Data Analysis | |
Definition--Measures of Central Tendency--Histogram | HistogramTopicStatistics DefinitionA histogram is a graphical representation of data distribution using bars of different heights. DescriptionHistograms are used to visualize the frequency distribution of continuous data, making it easier to identify patterns and trends. They are widely used in fields such as economics, biology, and engineering to analyze data distributions and detect anomalies. In mathematics, histograms are essential for understanding probability distributions and statistical inference. |
Data Analysis | |
Definition--Measures of Central Tendency--Interquartile Range | Interquartile RangeTopicStatistics DefinitionThe interquartile range (IQR) is the range between the first and third quartiles, representing the middle 50% of a data set. DescriptionThe IQR is a measure of statistical dispersion, indicating the spread of the central portion of a data set. It is particularly useful for identifying outliers and understanding the variability of data. In real-world applications, the IQR is used in finance to assess investment risks and in quality control to monitor process stability. |
Data Analysis | |
Definition--Measures of Central Tendency--Lower Quartile | Lower QuartileTopicStatistics DefinitionThe lower quartile (Q1) is the median of the lower half of a data set, representing the 25th percentile. DescriptionThe lower quartile is a measure of position, indicating the value below which 25% of the data falls. It is used in conjunction with other quartiles to understand the distribution and spread of data. In real-world applications, the lower quartile is used in finance to assess the performance of investments and in education to evaluate student achievement levels. |
Data Analysis | |
Definition--Measures of Central Tendency--Mean | MeanTopicStatistics DefinitionThe mean is a measure of central tendency that provides an average representation of a set of data. DescriptionThe Mean is an important concept in statistics, used to summarize data effectively. In real-world applications, the Mean helps to interpret data distributions and is widely used in areas such as economics, social sciences, and research. For example, if a data set consists of the values 2, 3, and 10, the mean is calculated as (2 + 3 + 10)/3 = 5. |
Data Analysis | |
Definition--Measures of Central Tendency--Median | MedianTopicStatistics DefinitionThe median is a measure of central tendency that provides the middle value of a data set.. DescriptionThe Median is an important concept in statistics, used to summarize data effectively. In real-world applications, the Median helps to interpret data distributions and is widely used in areas such as economics, social sciences, and research. For large data sets, the Median provdes an average that doesn't involve the massive calculation of a mean. |
Data Analysis | |
Definition--Measures of Central Tendency--Median of an Even Data Set | Median of an Even Data SetTopicStatistics DefinitionThe median of an even data set is the mean of two of the terms. DescriptionThe Median is the middle term of a data set. If the data set consists of an even number of terms, then the Median won't be one of ther terms in the set. In such a case the Median is the Mean of the two middle terms. |
Data Analysis |