Skip to main content

Currently Skimming:

F. Curves for determining probable errors in heavy mineral studies
Pages 97-101

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 97...
... Me variations in frequency of some of these minor constituents appeared s~gnitic~t-. Since the probable error for most of then could not be extrapolated with sutticient accuracy froan Dryden's curves for 5 and 10 percent frequency, probable errors were Petered ma curie plotted for frequencies between 0.1 and 20 percent.
From page 98...
... Furors introduced bait non-random sampling during sieved, separate tion, microsplitti=, ~d counting, or by incorrect identification of mineral grains, Act be added to the error of reduction in sample size to give the total error. If laboratory technique is good and about 300 grains are counted, the error of reduction in sample size will probably approximate the total erro}~.0 2Logarithmic graph paper (2 cycle :: 3 cycle)
From page 99...
... The probable errors ore ex p reseed as percent of the heavy mineral s frequency. ~ Example, with 3.0°/O frequency ond 400 grains counted, the probable error is 19.2 °/O of 3 °/O.
From page 101...
... · · -- 101 -- Ash; bit T}BL] 5 1 PALE MOORS FOR V~OUS AN COATS ~ ~ MUNCIE Probable error of the mineral's frequency Probable error of the total number of all heavy mineral Brains Number of grains c`:r~ted 100 400 1, 600 6'400 N~.aber of grains counted 100 400 ~ ,600 6,400 Pct.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.