From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

What Is Statistics? Using historical anecdotes and contemporary applications, this introduction to the series explores the vital links between statistics and our everyday world. The program also covers the evolution of the discipline.'
Due to licen...sing agreements, online viewing of the videos for this resource is restricted to network connections in the United States and Canada.[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'Students will advance from histograms through smooth curves to normal curves, and finally to a single normal curve for standardized measurement, as this program shows ways to describe the shape of a distribution using progressively simpler methods. ...In a lesson on creating a density curve, students also learn why, under steadily decreasing deviation, today’s baseball players are less likely to achieve a .400 batting average.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier.

'Topics of this program include linear growth, least squares, exponential growth, and straightening an exponential growth curve by logic. A study of growth problems in children serves to illustrate the use of the logarithm function to transform an ex...ponential pattern into a line. The program also discusses growth in world oil production over time.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'With this program, students will see how key characteristics in the distribution of a histogram — shape, center, and spread — help professionals make decisions in such diverse fields as meteorology, television programming, health care, and air traff...ic control. Through a discussion of the advantages of back-to-back stem plots, this program also emphasizes the importance of seeking explanations for gaps and outliers in small data sets.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'With this program, students will learn to derive and interpret the correlation coefficient using the relationship between a baseball player’s salary and his home run statistics. Then they will discover how to use the square of the correlation coeffi...cient to measure the strength and direction of a relationship between two variables. A study comparing identical twins raised together and apart illustrates the concept of correlation.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'Segments describe how to use a scatterplot to display relationships between variables. Patterns in variables (positive, negative, and linear association) and the importance of outliers are discussed. The program also calculates the least squares reg...ression line of metabolic rate y on lean body mass x for a group of subjects and examines the fit of the regression line by plotting residuals.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'This program examines the difference between mean and median, explains the use of quartiles to describe a distribution, and looks to the use of boxplots and the five-number summary for comparing and describing data. An illustrative example shows how... a city government used statistical methods to correct inequity between men’s and women’s salaries.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'Statistics can reveal patterns over time. Using the concept of seasonal variation, this program shows ways to present smooth data and recognize whether a particular pattern is meaningful. Stock market trends and sleep cycles are used to explore the ...topics of deriving a time series and using the 68-95-99.7 rule to determine the control limits.'[more]

From learner.org, produced by Consortium for Mathematics and Its Applications and Chedd-Angier

'With this program, students will discover how to convert the standard normal and use the standard deviation; how to use a table of areas to compute relative frequencies; how to find any percentile; and how a computer creates a normal quartile plot t...o determine whether a distribution is normal. Vehicle emissions standards and medical studies of cholesterol provide real-life examples.'[more]

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