Elements of Practical StatisticsMacmillan, 1930 - 324 σελίδες |
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Σελίδα 226
... coefficient of multiple correlation S = snow cover in late winter p ... path coefficient between snow cover and yield rpy = the coefficient of ... coefficient of correlation between sun- shine and 226 ELEMENTS OF PRACTICAL STATISTICS.
... coefficient of multiple correlation S = snow cover in late winter p ... path coefficient between snow cover and yield rpy = the coefficient of ... coefficient of correlation between sun- shine and 226 ELEMENTS OF PRACTICAL STATISTICS.
Σελίδα 228
Floyd Henry Harper. The values of .942 and .440 are path coefficients for sunshine and rainfall respectively . The path coefficient between snow cover and yield is taken as .318 , the same as the simple coefficient of correlation , since ...
Floyd Henry Harper. The values of .942 and .440 are path coefficients for sunshine and rainfall respectively . The path coefficient between snow cover and yield is taken as .318 , the same as the simple coefficient of correlation , since ...
Σελίδα 258
... path coefficient between snow cover in late winter and yield of wheat a - â = the difference between snow cover in any one year and the average of snow cover for all the years SDa ... path coefficient 258 ELEMENTS OF PRACTICAL STATISTICS.
... path coefficient between snow cover in late winter and yield of wheat a - â = the difference between snow cover in any one year and the average of snow cover for all the years SDa ... path coefficient 258 ELEMENTS OF PRACTICAL STATISTICS.
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actual values arithmetic mean array assumed mean average yield axis Based on data Bushels calculated cent Chart class interval units coefficient of correlation composite index number correction factor correlation ratio cost curve data in Table Department of Agriculture dependent variable DEVIATIONS FROM POINT difference dividing equation estimated or predicted farm formula frequency distribution grades illustrated indicates least squares linear located logarithms magnitude mantissa mean deviation measure median midpoint minus multiple correlation multiples of standard multiplying normal distribution number corresponding number of frequencies number of items number of pairs obtained ordinate pairs of items path coefficient Pearsonian percentage changes point of origin pounds preceding probable error quantity quartile quotient rainfall ratio regression relationship represented sample selected snow cover square root SQUARES OF DEVIATIONS standard deviation statistical straight line trend subtracting tion total number trend of least true mean United States Department Yearbook YIELD PER ACRE