Statistics

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Describing data -- QA276 .D47 1995

This video was produced specifically to highlight the revelance of statistics and to teach students the basic statistical methods.

Handling variability -- QA276 .W59 1996

Examines how variations can occur when scientists make measurements and how statistical methods can describe the reliability of results.

Using samples -- QA276 .U75 1995

This video was produced specifically to highlight the relevance of statistic and to teach students the basic statistical methods.

Bivariate data : when Y depends on X -- QA276 .B58 1996

Fourth in a four-part series that highlights the relevance of statistics and teaches science students the basic statistical methods. This segment demonstrates how "qualitative" bivariate data can be visualized by using a modification of the simple Bar Chart. Quantitative data is dealt with by developing the Dot Plot into the Scatter Diagram which allows any correlation to show itself in a linear r

Basic data analysis -- QA276.18 .C66 1992 PT.1

The first segment in a five part introductory video statistics course. Evaluating television ratings, tracking lightning strikes, and comparing salaries of men and women are introduced to describe how data can be measured and analyzed. The concepts of mean, median, outliers, and standard deviation are used to group numbers into meaningful categories. Data is plotted on stemplots, histograms, and b

Basic data analysis -- QA276.18 .C66 1992 PT.1

The first segment in a five part introductory video statistics course. Evaluating television ratings, tracking lightning strikes, and comparing salaries of men and women are introduced to describe how data can be measured and analyzed. The concepts of mean, median, outliers, and standard deviation are used to group numbers into meaningful categories. Data is plotted on stemplots, histograms, and b

Data analysis for one variable -- QA276.18 .C66 1992 PT.2

The second segment in a five part introductory video statistics course. What steps must be followed to measure one variable, such as a batting average, the emissions of an engine or the growth of a child? Concepts of normal curves, normal calculations, and straight-line and exponential growth are introduced as tools to predict the effect of a single variable, or the growth of a variable over time.

Data analysis for one variable -- QA276.18 .C66 1992 PT.2

The second segment in a five part introductory video statistics course. What steps must be followed to measure one variable, such as a batting average, the emissions of an engine or the growth of a child? Concepts of normal curves, normal calculations, and straight-line and exponential growth are introduced as tools to predict the effect of a single variable, or the growth of a variable over time.

Data analysis for two variables -- QA276.18 .C66 1992 PT.3

The third segment in a five part introductory video statistics course. How do we compare the relationship between two things: Weight loss and metabolism, genetics and personality, or pollution and marine life? Here a new picture emerges, a scatterplot, that shows a graphic comparison of two variables. Fitting lines to data and correlation coefficients provide a numerical representation of how one

Data analysis for two variables -- QA276.18 .C66 1992 PT.3

The third segment in a five part introductory video statistics course. How do we compare the relationship between two things: Weight loss and metabolism, genetics and personality, or pollution and marine life? Here a new picture emerges, a scatterplot, that shows a graphic comparison of two variables. Fitting lines to data and correlation coefficients provide a numerical representation of how one

Planning data collection -- QA276.18 .C66 1992 PT.4

The fouth segment in a five part introductory video statistics course. If an individual wanted to prove a relationship between two things, where would they begin? Does aspirin prevent heart attacks? Does smoking cause cancer? How can one discover how Americans feel about a particular issue? The concepts of population, sampling versus census, survey and sample design and sampling distribution are i

Planning data collection -- QA276.18 .C66 1992 PT.4

The fouth segment in a five part introductory video statistics course. If an individual wanted to prove a relationship between two things, where would they begin? Does aspirin prevent heart attacks? Does smoking cause cancer? How can one discover how Americans feel about a particular issue? The concepts of population, sampling versus census, survey and sample design and sampling distribution are i

Introduction to inference -- QA276.18 .C66 1992 PT.5

The fifth segment in a five part introductory video statistics course. Once a statistical experiment yields results, these results have to be qualified. Battery makers test a sample of their product to estimate how long each battery will last. Confidence intervals are introduced to determine how accurate that estimate is. Does coaching for the Scholastic Aptitude Test make a difference? Significan

Introduction to inference -- QA276.18 .C66 1992 PT.5

The fifth segment in a five part introductory video statistics course. Once a statistical experiment yields results, these results have to be qualified. Battery makers test a sample of their product to estimate how long each battery will last. Confidence intervals are introduced to determine how accurate that estimate is. Does coaching for the Scholastic Aptitude Test make a difference? Significan

Overview ; Behind the headlines -- QA93 .F67 1987 VOL.6-7

"Overview" explains what data is and how it is collected, organized, and analyzed so that the statistical conclusions can be valid and unbiased. Uses baseball, labor stastics, medical experiments, and manufacturing quality as examples of statistical sampling. "Behind the headlines" demonstrates the use of random sampling methods to avoid bias and describes the use of statistics in arriving at conc

Overview ; Behind the headlines -- QA93 .F67 1987 VOL.6-7

"Overview" explains what data is and how it is collected, organized, and analyzed so that the statistical conclusions can be valid and unbiased. Uses baseball, labor stastics, medical experiments, and manufacturing quality as examples of statistical sampling. "Behind the headlines" demonstrates the use of random sampling methods to avoid bias and describes the use of statistics in arriving at conc

Picture this ; Place your bets -- QA93 .F67 1987 VOL.8-9

"Picture this" discusses pictorial data using graphs, histograms, and box plates to reveal changes and patterns that can then be examined in terms of mean, median, quartile, and outlier. States that the human brain can quickly grasp statistics when presented as pictures. "Place your bets" discusses the technics of sampling distributions, normal curves, standard deviations, and uses the theory of p

Picture this ; Place your bets -- QA93 .F67 1987 VOL.8-9

"Picture this" discusses pictorial data using graphs, histograms, and box plates to reveal changes and patterns that can then be examined in terms of mean, median, quartile, and outlier. States that the human brain can quickly grasp statistics when presented as pictures. "Place your bets" discusses the technics of sampling distributions, normal curves, standard deviations, and uses the theory of p

Confident conclusions -- QA93 .F67 1987 VOL.10

Explains statistical inference and how it is based on calculations of probability. Explains the result and effects of random sampling, standard deviation, statistical inference, using examples of the Gallup Poll and AT&T circuit packs, shows that statistics can be misleading.

Confident conclusions -- QA93 .F67 1987 VOL.10

Explains statistical inference and how it is based on calculations of probability. Explains the result and effects of random sampling, standard deviation, statistical inference, using examples of the Gallup Poll and AT&T circuit packs, shows that statistics can be misleading.