There was a considerable range in each set of data for all char- 

 acteristics of the condensed solubles that were studied and for the 

 Suitability Factors, To illustrate the magnitude of this variability 

 and the correlation, or more properly, the lack of a marked degree of 

 correlation of these values to the Suitability Factor, scattergrams 

 were drawn in which the values for each characteristic were plotted 

 against the values of the corresponding Suitability Factor, These are 

 reproduced in the Research Report as figures 3 to 12, inclusive. 



Object of the Statistical Analysis 



The object of this statistical analysis and interpretation was to 

 determine whether significant relationships existed between the variable 

 factors determined for the samples of condensed solubles and their suita- 

 bility for preparing dry solubles, as represented by the Suitability Factor, 

 A similar study of simple and multiple correlations was made for various 

 other interrelated data. In some instances, these were for data iirtiere 

 correlations would be expected, for example refractive index and specific 

 gravity to total dry solids. In most cases inspection of the scattergrams 

 or experience had lead to assumption of certain correlations and the sta- 

 tistical analysis was used to verify these assujttptions and test their 

 significance. Some discussion of these assumed correlations may be found 

 on pages 18 and 2k of Research Report li5, 



A secondary object of the analysis of data was to explore the pos- 

 sibility that certain of the variables studied might be selected as 

 indicators of lots of condensed solubles that would be generally suited 

 for making dry solubles. It was evident from the scattergrams that no 

 single variable was highly correlated, but certain selected combinations 

 might give increased accuracy of prediction. 



Introduction to the Statistical Analysis 



The large volume of data made it in^jractical to cariy out the desired 

 statistical work at the College Park Laboratory, It was done through a 

 cooperative agreement with the Depcirtment of Experimental Statistics, North 

 Carolina State College, Raleigh, North Carolina, Dr, R, J, Monroe supplied 

 the data presented in tables 1 to 9, and has also included the introductory 

 paragraphs immediately following to facilitate interpretation of the tables. 

 The senior author had appended a discussion of a less technical nature of 

 the data in the tables to emphasize practical aspects and implications. 



Simple correlation, multiple correlation and analysis of variance 

 techniques were used to provide evidence of association between physical 

 and chemical characteristics and to measure the effects of certain ex- 

 ternal factors on these characteristics. 



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