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**Extra info for Applied Statistics and the SAS Programming Language**

**Example text**

It consists of one or more ultimate units, as for example a strip, 2~-ehain wide and one chain long, across the square chain of pine reproduction referred to above; this strip containing 20 ultimate units of a quarter mil acre each. Sample. The set of random sampling units. The sample must contain a minimum of two random sampling units, for a single random sampling unit does not contain the information on sampling error. 3 Sampling a Small Rectangular Area. The use of the above terms is easily demonstrated by means of a simple experiment.

The sample must contain a minimum of two random sampling units, for a single random sampling unit does not contain the information on sampling error. 3 Sampling a Small Rectangular Area. The use of the above terms is easily demonstrated by means of a simple experiment. Let it be required to estimate the sum of the 100 numbers in Figure 7 from just 20 of them. The ultimate unit in this case is the cell, a particular one of which will be referred to by its column and row number. Thus cell 50 is that of column 5 and row 0, and its observed value is 47; whereas the observed value of cell 05 is 61.

20 17•. fi42 on 19 degrees of freedom, and the probability equation appropriate to this estimate is 5,580± lS9(t). mm. l6. 1. percent of the estinlated aggregate. The estimate of the limits of discrepancy between sample Hnd population IS equally valid in both of these sampling methods. 95 that the real discrepancy is not exceeded by these estimates-are very discordant, reflecting as they do the efficiency of the sampling designs used. The seemingly SIMPLER CASES Ole SAMPLING ji'INITE POPULATIONS 55 abnormal 1474 of the strip method is due to the paucity of degrees of freedom available for its estimate.