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THE NATURE OF RESEARCH
PRINCIPLES OF EXPERIMENTAL DESIGN
BINOMIAL POPULATIONS IN RESEARCH
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A X B interaction A X B X C interaction A X C analysis of covariance analysis of variance assume binomial population calculated column corresponding data of Table degrees of freedom differ significantly drugs equal error mean square estimate of experimental example factor factorial experiment farmer freedom associated frequency given in Table Graeco-Latin square id id id interaction sum Latin square levels linear component measures methods multiple comparisons multiplying normal curve normally distributed null hypothesis number of degrees number of observations obtained oi oi oi organismic variable orthogonal comparisons probability problem Psychol quadratic components random sampling randomized blocks design randomized groups design replication residual result sampling distribution scores selected shock X stages Source of Variation squares within groups stages sum standard deviation standard error Statistical subjects subtraction sum of squares test of significance treatment effects treatment groups treatment mean square treatment sum trend zero