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Biostatistics

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10 CHAPTER 1 INTRODUCTION TO BIOSTATISTICS<br />

TABLE 1.4.2 Sample of<br />

10 Ages Drawn from the<br />

Ages in Table 1.4.1<br />

Random<br />

Number<br />

Sample<br />

Subject Number<br />

Age<br />

137 1 43<br />

114 2 66<br />

155 3 61<br />

183 4 64<br />

185 5 65<br />

028 6 38<br />

085 7 59<br />

181 8 57<br />

018 9 57<br />

164 10 50<br />

to 028 and proceed up the column. We could have started at the top with the<br />

number 369.<br />

Thus we have drawn a simple random sample of size 10 from a<br />

population of size 189. In future discussions, whenever the term simple<br />

random sample is used, it will be understood that the sample has been drawn<br />

in this or an equivalent manner.<br />

&<br />

The preceding discussion of random sampling is presented because of the important<br />

role that the sampling process plays in designing research studies and experiments. The<br />

methodology and concepts employed in sampling processes will be described in more<br />

detail in Section 1.5.<br />

DEFINITION<br />

A research study is a scientific study of a phenomenon of interest.<br />

Research studies involve designing sampling protocols, collecting and<br />

analyzing data, and providing valid conclusions based on the results of<br />

the analyses.<br />

DEFINITION<br />

Experiments are a special type of research study in which observations<br />

are made after specific manipulations of conditions have been carried<br />

out; they provide the foundation for scientific research.<br />

Despite the tremendous importance of random sampling in the design of research<br />

studies and experiments, there are some occasions when random sampling may not be the<br />

most appropriate method to use. Consequently, other sampling methods must be considered.<br />

The intention here is not to provide a comprehensive review of sampling methods, but

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