Jump to content

Page:Biometrika - Volume 6, Issue 1.djvu/24

From Wikisource
This page has been proofread, but needs to be validated.
24
The Probable Error of a Mean

“and the quality of the resulting barley is inferior though the yield may be greater.”

lbs. head corn per acre
Price of head corn in
shillings per quarter
cwts. straw per acre Value of crop per acre
in shillings[*]

N. K. D.
K. D. Diff. N. K. D. K. D. Diff. N. K. D. K. D. Diff. N. K. D. K. D. Diff.
1899 1903 2009 +106 261/2 261/2 0 191/4 25 +53/4 1401/2 152 +111/2
1935 1915 020 280 261/2 −11/2 223/4 240 +11/4 1521/2 1450 −71/2
1910 2011 +101 291/2 281/2 −10 230 240 +10 1581/2 1610 +21/2
2496 2463 033 300 290 −10 230 280 +5 2041/2 1991/2 −5
2108 2180 +072 271/2 270 1/20 221/2 221/2 0 1620 1640 +2
1961 1925 036 260 260 0 193/4 191/2 1/40 1420 1391/2 −21/2
2060 2122 +062 290 260 −3 241/2 221/4 −21/4 1680 1550 −13
1900 1444 1482 +038 291/2 281/2 −10 151/2 160 +1/20 1180 1171/2 1/2
1612 1542 070 281/2 280 1/2 180 171/4 3/4 1281/2 1210 −71/2
1316 1443 +127 300 290 −10 141/4 153/4 +11/2 1091/2 1161/2 +7
1511 1535 +024 281/2 280 1/20 170 171/4 +1/40 1200 1201/2 +1/2

Average
1841.5 1875.2 +33.7 28.45 27.55 −.91 19.95 21.05 +1.10 145.82 144.68 +1.14
Standard
Deviation
63.1 .79 2.25 6.67
Standard
Deviation
÷√8
22.3 .28 0.80 2.40

 * Straw being valued at 15s. per ton.

In this case I propose to use the approximation given by the normal curve with standard deviation and therefore use Sheppard’s tables, looking up the difference divided by . The probability in the case of yield of corn per acre is given by looking up in Sheppard’s tables. This gives , or the odds are about 14:1 that kiln-dried corn gives the higher yield.

Similarly , corresponding to ,[1] so that the odds are very great that kiln-dried seed gives barley of a worse quality than seed which has not been kiln-dried.

Similarly it is about 11 to 1 that kiln-dried seed gives more straw and about 2:1 that the total value of the crop is less with kiln-dried seed.

  1. As pointed out in Section V. the normal curve gives too large a value for when the probability is large. I find the true value in this case to be . It matters little however to a conclusion of this kind whether the odds in its favour are 1,660:1 or merely 416:1.