Sampling (Statistics)

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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

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.