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How to think about statistics / John L. Phillips, Jr.

By: Contributor(s): Material type: TextSeries: A Series of books in psychologyPublication details: New York : W.H. Freeman, c1988.Edition: [3rd ed.]Description: xiv, 198 p. : ill. ; 24 cmISBN:
  • 0716719231 (pbk.)
  • 0716719223 (hard)
Subject(s): LOC classification:
  • HA29 .P517
Contents:
1. Introduction -- The task -- The basic ideas -- Facing mathphobia -- 2. Frequency distributions -- Normal distributions -- Skewed distributions -- Other configurations -- Summary -- 3. Measures of central tendency -- The mean (x̄) -- The median (Mdn) -- The mode -- Summary -- Sample applications -- 4. Measures of variability -- The standard deviations (S) -- The semi-interquartile range -- The range -- Degrees of freedom -- Summary -- Sample applications -- 5. Measures of relationship -- The rank-difference coefficient (p) -- The product-moment coefficient (r) -- Effect of restricted variability -- Correlation and causation -- Reliability and validity -- Summary -- Sample applications -- 6. Interpreting individual measures -- Standard scores: The z scale -- Other standard scores -- Standard scores in correlation -- Centile (or "percentile") scores -- Age and grade norms -- Summary -- Sample applications -- 7. Precision of measurement -- Standard errors -- Confidence intervals and levels of confidence -- Effect of N on standard error -- Two ways of quantifying reliability -- Expectancy tables -- Summary -- Sample applications -- 8. Significance of a difference between two means -- An example -- Test of significance: The z ratio -- Test of significance: The t ratio -- Significance levels -- A common misinterpretation -- One- versus two-tail tests -- Statistical versus practical significance -- Summary -- Sample applications -- 9. More on the testing hypotheses -- Comparison of frequencies: Chi-square -- Multimean comparisons: Analysis of variance -- Summary -- Sample applications -- 10. Another look at correlation and causation -- Correlational versus experimental studies -- Continuous versus discontinuous variables and measurements -- Correlation as an index of causation -- Summary -- 11. Summary.
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Books Methodist University Library Main General Stacks Non-fiction HA29 .P517 (Browse shelf(Opens below)) Available 31909

Rev. ed. of: Statistical thinking. 2nd ed. c1982.

Includes index.

1. Introduction --
The task --
The basic ideas --
Facing mathphobia --
2. Frequency distributions --
Normal distributions --
Skewed distributions --
Other configurations --
Summary --
3. Measures of central tendency --
The mean (x̄) --
The median (Mdn) --
The mode --
Summary --
Sample applications --
4. Measures of variability --
The standard deviations (S) --
The semi-interquartile range --
The range --
Degrees of freedom --
Summary --
Sample applications --
5. Measures of relationship --
The rank-difference coefficient (p) --
The product-moment coefficient (r) --
Effect of restricted variability --
Correlation and causation --
Reliability and validity --
Summary --
Sample applications --
6. Interpreting individual measures --
Standard scores: The z scale --
Other standard scores --
Standard scores in correlation --
Centile (or "percentile") scores --
Age and grade norms --
Summary --
Sample applications --
7. Precision of measurement --
Standard errors --
Confidence intervals and levels of confidence --
Effect of N on standard error --
Two ways of quantifying reliability --
Expectancy tables --
Summary --
Sample applications --
8. Significance of a difference between two means --
An example --
Test of significance: The z ratio --
Test of significance: The t ratio --
Significance levels --
A common misinterpretation --
One- versus two-tail tests --
Statistical versus practical significance --
Summary --
Sample applications --
9. More on the testing hypotheses --
Comparison of frequencies: Chi-square --
Multimean comparisons: Analysis of variance --
Summary --
Sample applications --
10. Another look at correlation and causation --
Correlational versus experimental studies --
Continuous versus discontinuous variables and measurements --
Correlation as an index of causation --
Summary --
11. Summary.

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