Catalog Search Results
Publisher
The Great Courses
Pub. Date
2017.
Language
English
Description
What do you do if your data doesn't follow linear model assumptions? Learn how to transform the data to eliminate increasing or decreasing variance (called heteroscedasticity), thereby satisfying the assumptions of normality, independence, and linearity. One of your test cases uses the R data set for miles per gallon versus weight in 1973-74 model automobiles.
Publisher
The Great Courses
Pub. Date
2017.
Language
English
Description
Move beyond point estimates to consider the confidence interval, which provides a range of possible values. See how this tool gives an accurate estimate for a large population by sampling a relatively small subset of individuals. Then learn about the choice of confidence level, which is often specified as 95%. Investigate what happens when you adjust the confidence level up or down.
4) Learning Statistics: Concepts and Applications in R: Regression Predictions, Confidence Intervals
Author
Series
Great Courses volume 14
Language
English
Description
What do you do if your data doesn't follow linear model assumptions? Learn how to transform the data to eliminate increasing or decreasing variance (called heteroscedasticity), thereby satisfying the assumptions of normality, independence, and linearity. One of your test cases uses the R data set for miles per gallon versus weight in 1973-74 model automobiles.
Author
Series
Great Courses volume 10
Language
English
Description
Move beyond point estimates to consider the confidence interval, which provides a range of possible values. See how this tool gives an accurate estimate for a large population by sampling a relatively small subset of individuals. Then learn about the choice of confidence level, which is often specified as 95%. Investigate what happens when you adjust the confidence level up or down.
Author
Publisher
Wiley-Blackwell
Pub. Date
2021.
Language
English
Description
"The fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, 5th Edition: Assumes no prior knowledge of statistics. Covers all essential statistical methods. Completely revised, updated...
Author
Publisher
Teaching Company
Pub. Date
c2006
Language
English
Description
Who was the greatest baseball hitter of all time? How likely is it that a poll is correct? Is it smart to buy last year's highest-performing stock? These questions all involve the interpretation of statistics, and this film is an introduction to this vitally important subject in today's data-driven society. Explanations for terms such as mean, median, percentile, quartile, statistically significant, and bell curve, and scores of other statistical...
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