
Compare prices for The trap of Pearson's product-moment correlation in NZ
Prices for The trap of Pearson's product-moment correlation by Guimarães, Celso Cursino. Paperback | ISBN 9786500099157.
Pearson correlation can look strong while hiding instability, especially with outliers, small samples and nonlinear relationships.
When you're ready to buy, compare current NZ bookstore offers below. The lowest delivered price we found is NZ$49.11.

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About the Book
Synopsis
Pearson’s product-moment correlation is presented as a measure that can appear convincing while resting on unstable assumptions. The discussion focuses on its sensitivity to outliers, its limits with nonlinear relationships and a newly proposed indeterminacy when one variable’s variance is largely residual. The argument is illustrated with examples that question how reliably the coefficient supports strong conclusions.
Readers looking closely at statistical interpretation will find a critical account of how Pearson correlation is used and what its results can fail to show. The emphasis is on the gap between apparent strength and scientific support, with attention to why prior inspection of the variables matters before pairing them in analysis.
Frequently asked questions
Where is the cheapest place to buy The trap of Pearson's product-moment correlation in NZ?
The cheapest listed price for The trap of Pearson's product-moment correlation in New Zealand is currently NZ$49.11 at Fishpond, including delivery. BookRadar compares available NZ bookstore prices in one place.
How much does The trap of Pearson's product-moment correlation cost in New Zealand?
The trap of Pearson's product-moment correlation currently starts from NZ$49.11 delivered in New Zealand. Prices can change as retailers update stock, shipping, and promotions.
What is The trap of Pearson's product-moment correlation about?
The trap of Pearson's product-moment correlation by Guimarães, Celso Cursino is about Pearson correlation can look strong while hiding instability, especially with outliers, small samples and nonlinear relationships.
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