# Logic of Sampling

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Logic of Sampling
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The sampling of a given data especially population is very important in analysing information. This depends on the method used to sample a given set of data. The methods include random sampling, stratified sampling, and systematic sampling. Every sampling method uses logic in sampling of data. This involves the procedure in sampling of a given set of information.
Random sampling
The random numbers used from the random tables include 11168, 36318, 75064, 21215, 91791, 76831, 10468, 44482, 66558, and 12032. The data in the table provide is labelled in terms of two digits.
11168- 01, 11, 64
36318- 03, 63, 18
75064- 07, 50, 64
21215- 02, 12, 15
91791- 09, 17, 91
76831- 07, 68, 31
10468- 01, 04, 68
44482- 04, 44, 82
66538- 06, 65, 38
12032- 01, 20, 32
The first ten numbers from the random table within the boundaries of the data are selected. This does not include the repeating entry. The selected random numbers are from the list of random table numbers include 01, 11, 64, 03, 63, 18, 07, 50, 02, and 12.
Names of the selected ten random numbers 1. Lauren Aaronson 2. Andrew Abbot 3. James Abbot 4. Saleha Abedin 5. Christopher Abells 6. Marjorie Abend-Wein 7. Jill Abood 8. Reed Adams 9. Evan Adelson 10. Francis Adeola
Procedure in random sampling
The procedure in random sampling uses random tables to determine the values to sample. Before selecting the values, each value of the data provided is labelled with two digits. For example 01 up to the last value 72. Random tables are used to sample first ten required values. The selected random numbers from the random table appear split into two digits. For example, 44482 when split appear 04, 44, and 82. This happens for the ten random numbers from the table. The numbers selected appear in the range of 1 and 72. The repeating number...

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