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<br />that the lowest tilt radar beam is at a level where the hyd~o- <br />meteors are predominantly liquid (see subsection VIII.H.). <br />Therefore, all primary response variables that are based on 'the <br />SWR-75 radar data, with the exception of TFE, will be stratified <br />according to whether or not the center of the lowest tilt radar <br />beam is at or below the +10 Oc level. <br /> <br />I <br /> <br />Physical partitioning of the experimental units will probably <br />occur in various a posteriori investigations. These investiga- <br />tions may ultimately lead to refinements of the hypotheses. ; <br /> <br />3. Avoidance of bias. - Efforts to avoid bias include double- <br />blind randomization, use of a placebo mechanism, and block <br />randomization. <br /> <br />., <br /> <br />The double-blind approach is intended to keep (1) the aircrews and <br />(2) those directly involved in the construction of the experiment's <br />data base ignorant of the actual treatment applied. Two separate <br />randomizations will be used: one to select which seeding-agent <br />hopper on the seeding aircraft is "live" and the other to select <br />which hopper is activated during the treatment pass. <br /> <br />The placebo to be used in HIPLEX-1 involves a deactivated seeding <br />hopper (containing dry ice) and a noise source from the aft of the <br />aircraft to mask any sounds that might disclose to the crew <br />whether the "live" or deactivated hopper has been selected.' More <br />information is found in appendix D. <br /> <br />Block randomization of experimental events is used to insure that <br />about half of each class of clouds (A-I, A-2, and B) is seeded. <br />Separate sequences of random decisions will be applied to each <br />class. The field crews will not know the number of events in each <br />block. <br /> <br />4. Statistical techniques. - The primary inferences of the <br />HIPLEX-1 experiment will be based on permutation, rerandomization, <br />and nonparametric statistical techniques applied to univariate and <br />multivariate data sets. A recently developed class of multivariate <br />techniques that avoids the assumption of multivariate normality is <br />termed MRPP (multiresponse permutation procedures). MRPP appears <br />to be the best available tool for detecting the anticipated <br />effects of seeding on the multivariate measurements associated <br />with HIPLEX-1. <br /> <br />.- <br /> <br />It is likely that unanticipated questions will arise during the <br />course of the experiment. Unrestricted a posteriori analyses, as <br />appropriate, will be conducted to supplement a priori analyses. <br />These analyses will draw from suitable parametric, permutation, <br />and nonparametric techniques. <br /> <br />30 <br />