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A. A proposed compilation of size data of sediments
Pages 6-21

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From page 6...
... C ~nbein University of Chicago, Chicago, Illinois Prelirun~ar~r ~n~x~coment of the Sub-Cor~.aittee for the Compilation of Statistical Data on Sediments Tntroducti on ~_ The Sub-Comn~ittoo for Lee Co~pilaho:n cf Statistical Into of Sed~ments was appointed by Park or D
From page 7...
... This wider recognition of tho goonotrica1 meaning of statistics parameters, =.nd their greater use in the intax~prct~t'-n of the data, suggests that the co~ttoe's su~=y may co=~niontly be published as statistical data rather than is ~st<3gr~ or cumulativo cunos. involved in two cost of publication a3Lso.fca~c~r this solution.
From page 8...
... ~e first is that workors uso ~ ;~ e Amity of statistica1 norametors, 50 that direct comparison With the Gore of others is frequently difficult. l.~Q~eov=, there is ~ ~ncreas~x~'g tendency to publish only the statistical ~x~naries, rather than the complete analytical data, so that oth~ workers cannot recompute the data into other measures.
From page 9...
... . that both are readily available for comparative p~OSQSe Peso factors suggest that the data of sediments be summarized in tams of geometric and aog,~rithmic measures expressed in both the quartile and moment notation.
From page 10...
... 5) The completeness of the original data' in tens of the Thumbs of size grades used in the analysis, a~ whether or not a full report of the analysis is given by the author.
From page 11...
... Exhibit A , _ a)
From page 12...
... 1 o I rQ H En C H En En Exhibit ~ ~ - - ~ · - ~ ~ s.
From page 13...
... Exhibit ~ _ H 1 a.
From page 14...
... ~ beach sand analyzed with three silo grades cmnot Gove ~ close an approbation to the true paromoters as the same sand analyzed in seven or eight ambler size grades. In order to include such analyses, however, the following arbitrary plan is proposed: a)
From page 15...
... When the data are polynodal (i.e., in&Ye more than one maxims In the distributions the sign: ficant figures arc generally xeducod by one, and tho Lowness values are not computed. In connection mththemodos, the tO1iQ=~= p~codurc is Accosted: Tho principal rude is dctinod as tic geometric mid-point of that class harm the largest percontage frequency.
From page 16...
... . Conti nonfatal Torrestri=1 Des ort Glacial Aqueous Pluv~a~ Pi odr~ont V£~11oy flat P3;Luda1 L=~e sweeps Rivers swamps Flat-land 5W0I2p 5 tie sweeps X~nhof o3
From page 17...
... As ~ first approach, th~afo:re, the f o l ~ on ng br eakdown i s su gg e st ad: Wind deposits Dano sand Loes ~ Wired lays Glacial deposits Glacial ti 11 Glacial ollfwash Fluwal sediment s Channel deposits Flood plain deposits Swamp deposits (fresh water) lacustrine deposits Fresh filter lakes S`~]
From page 18...
... :Efor exam., beaches usually consist of sand or coarser material, and as a first appro:~:i~tion it seems safe to merge the deposits of lake and sea beached Tt sems unlikely that the difference :between salt a~ fresh water would mate:~ially affect the physical behavior of sand~or pebbles along ~ beach. It is not sate to Wage lake and marine Mud, however, because of the possible coagulating oft'ect of.~ons.~n sm water..
From page 19...
... Moreover, the absence of a skewness term In the sent would permit the direct application cuff probability theory and the use: of standout probabil ity integral tables in hauling the data.
From page 20...
... iVhenovor possible tho author s'~ould:tncludo Pueblos of his ori
From page 21...
... H., (1939) A modified logarithmic probability graph for the interpretation of mechanical analyses of sediments: Jaw.


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