CONTENTS.
CHAPTER IIL
ASSOCIATION.
3
1-4. The criterion of independence — 5-10. The conception of
association, and testing for the same by the comparison
of percentages—11-12. Numerical equality of the differences
between the four second-order frequencies and their independence
 values—13. Coefficients of association —14.
Necessity for an investigation into the causation of an
attribute 4 being extended to include non-A’s . , 25-41
CHAPTER IV.
PARTIAL ASSOCIATION.
1-2. Uncertainty in interpretation of an observed association—3-5.
Source of the ambiguity : partial associations—6-8. Illusory
association due to the association of each of two attributes
with a third—9. Estimation of the partial associations from
the frequencies of the second order—10-12. The total
number of associations for a given number of attributes—
13-14. The case of complete independence . . . 0
CHAPTER V.
MANIFOLD CLASSIFICATION.
1. The general principle of a manifold classification—2-4. The
table of double entry or contingency table and its treatment
by fundamental methods—5-8. The coefficient of contingency—9-10.
 analysis of a contingency table by tetrads
211-13. Isotropic and anisotropic distributions —14-15.
Homogeneity of the classifications dealt with in the preceding
 chapters : heterogeneous classifications . - . 60-74
PART IIL—THE THEORY OF VARIABLES.
CHAPTER VL
THE FREQUENCY-DISTRIBUTION.
1. Introductory—2. Necessity for classification of observations : the
frequency-distribution—3. Tllustrations—4. Method of forming
 the table—5. Magnitude of class-intervals—6. Position
of intervals—7. Process of classification—8. Treatment of
intermediate observations—9. Tabulation—10. Tables with
unequal intervals —11. Graphical representation of the
frequency-distribution—12. Ideal frequency-distributions—
13. The symmetrical distribution—14. The moderately
asymmetrical distribution—15. The extremely asymmetrical
 or J-shaped distribution—16. The U-shaped distribution ~~ 756-105

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