Definition of Simple Random Sample: is a sample design in which are drawn from a population in a way that gives every member and every combination of members an equal chance of being selected. The classic way of selecting a simple random sample is to assign every member of the population a number and then use a random number table to select the sample.

Simple Random Sample in my own words: is design a selection of member of the population in order to use the random number table of the sample.

Examples of the simple Random Sample:

An example of a simple random sample would be a group of 25 employees chosen out of a hat from a company of 250 employees. In this case, the population is all 250 employees, and the sample is random because each employee has an equal chance of being chosen.

Step 1:
The first step is to find the total number of students (3475 above) and calculate the percent of students in each stratum.

School 1: 1050 / 3475 = .30

School 2: 565 / 3475 = .16

School 3: 1554 / 3475 = .45

School 4: 306 / 3475 = .09

Step 2:
Next, to select a sample in proportion to the size of each stratum (in this case school), the following number of students should be randomly selected:

School 1: 150 x .30 = 45

School 2: 150 x .16 = 24

School 3: 150 x .45 ~ 67

School 4: 150 x .09 ~ 14

This tells us that our sample of 150 students should be comprised of:

Carlos Chacon

Definition of Simple Random Sample:is a sample design in which are drawn from a population in a way that gives every member and every combination of members an equal chance of being selected. The classic way of selecting a simple random sample is to assign every member of the population a number and then use a random number table to select the sample.Simple Random Sample in my own words:is design a selection of member of the population in order to use the random number table of the sample.Examples of the simple Random Sample:An example of a simple random sample would be a group of 25 employees chosen out of a hat from a company of 250 employees. In this case, the population is all 250 employees, and the sample is random because each employee has an equal chance of being chosen.

Step 1:

The first step is to find the total number of students (3475 above) and calculate the percent of students in each stratum.

Step 2:School 1:1050 / 3475 = .30School 2:565 / 3475 = .16School 3:1554 / 3475 = .45School 4:306 / 3475 = .09Next, to select a sample in proportion to the size of each stratum (in this case school), the following number of students should be randomly selected:

This tells us that our sample of 150 students should be comprised of:School 1:150 x .30 = 45School 2:150 x .16 = 24School 3:150 x .45 ~ 67School 4:150 x .09 ~ 14School 1School 2School 3School 4