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Tests of Significance (Quantitative Applications in the Social Sciences) by Henkel, Ramon E. is a mathematics available to read on EtoBox.

What is Tests of Significance (Quantitative Applications in the Social Sciences) about?

An Elementary Introduction To Significance Testing, This Paper Provides A Conceptual And Logical Basis For The Understanding Of Significance Tests. Overview -- Statistics -- Common Sense Perspective On Statistics -- Formal Criteria -- Conceptual Framework -- Populations, Parameters, Samples, And Statistics -- Probability -- Sampling Distributions -- Sampling -- Common Theoretical Distributions -- Using Probability Distributions -- Logic Of Hypothesis Testing -- Tests Of Significance -- Comparing Whole Distributions-goodness Of Fit -- Central Tendency -- Two Sample Tests -- K-sample Test -- Existence Of A Relationship -- Regression And Correlation -- Other Tests Of Significance -- Confidence Intervals -- The Interpretation Of Significance Tests -- Questions Of The Utility Of Tests Of Significance -- Technical Issues -- Philosophy Of Science Issues -- Other Interpretations -- Arguments For Tests Of Significance. Ramon E. Henkel. Includes Bibliographical References (p. 92).

Who reads Tests of Significance (Quantitative Applications in the Social Sciences)?

Author

Henkel, Ramon E.

Publisher

SAGE Publications, Incorporated

Published

1976

Language

EN

ISBN

9780585217178

Category

mathematics

Subjects

Social Science, Science, Mathematics

Rating

4.6 / 5 (5 ratings)

Updated

2026-03-14