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" The chances are about 2 out of 3 that the difference due to sampling variability between an estimate and the figure that would have been obtained from a complete count of the population Is less than the standard error. The chances, are about 19 out of... "
U.S. Censuses of Population and Housing: 1960: Census Tracts. Final Report ... - Page 9
by United States. Bureau of the Census - 1961
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Monthly Labor Review, Volume 77

1954 - 770 pages
...The chances are about 2 out of 3 that the difference due to sampling variability between an estimate and the figure that would have been obtained from a complete count of the universe is less than the standard deviation. The chances are 19 out of 20 that the difference...
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Vital Statistics of the United States

1982 - 404 pages
...sampie estimate differs from the vaiue which wouid have been obtained from aR births by iess than one standard error. The chances are about 19 out of 20 that the difference is iess than twice the standard error and about 99 out of 100 that it is iess than 2Vi times as iarge....
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Housing Research

United States. Housing and Home Finance Agency - 1951 - 372 pages
...chances are about 19 out of 20 that the difference due to sampling variability between an estimate and the figure that would have been obtained from a complete count of mortgaged, residential properties is less than the sampling variability indicated below. Estimated...
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Farms and Farm People, Population, Income, and Housing Characteristics by ...

United States. Bureau of the Census - 1953 - 114 pages
...obtained from a tabulation for all farms, and farm operator households, families, and dwelling units by less than the standard error. The chances are about 19 out of 20 that the differences would be less than twice the standard error and 99 out of 100 that it would be less than...
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Census of Population, 1950: A Report of the Seventeenth Decennial Census of ...

United States. Bureau of the Census - 1952 - 292 pages
...to obtain other odds deemed more appropriate can be found in mo statistical textbooks. For example, the chances are about 19 out of 20 that the difference is less than twi. milanl error, an'' 99 out of 100 that it i* ' M<\ crror IlliiHtrati. ,,ity wjt|, population XXVIII...
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United States Census of Population, 1950: Special reports, Volume 4, Part 3

United States. Bureau of the Census - 1953 - 556 pages
...The chances are about 2 out of 3 that the difference due to sampling variability between an estimate and the figure that would have been obtained from a complete count of the population is less than the standard error. The amount by which the standard error must be multiplied...
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Current Population Reports: Population characteristics. Series P-20

1953 - 256 pages
...chances are about 68 out of IC0 that the difference due to sampling variability between an estímete and the figure that would have been obtained from a complete count of the population is less than the standard error. The amount by which the standard error must be multiplied...
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Census of Housing, 1950: Nonfarm housing characteristics. Volume 2

United States. Bureau of the Census - 1954 - 480 pages
...The chances are about 2 out of 3 that the difference due to sampling variability between an estimate and the figure .that would have been obtained from a complete count of the dwelling units Is less thun the standard error. The amount by which the standard error must...
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National Survey of Fishing and Hunting, Volume 2

1960 - 84 pages
...chances are about 2 out of 3 that an estimate from the sample would differ from a complete census by less than the standard error. The chances are about 19 out of 20 that the difference would be less than twice the standard error, and about 99 out of 100 that it would be less than 21--....
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Characteristics of the Low-income Population and Related Federal Programs

United States. Congress. Joint Economic Committee - 1955 - 264 pages
...The chances are about 2 out of 3 that the difference due to sampling variability between an estimate and the figure that would have been obtained from a complete count of the population is less than the standard error. The amount by which the standard error must be multiplied...
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