A Modern Introduction to Probability and Statistics
This document is regarding Probability sampling techniques, such as simple random sampling, systematic sampling, stratified sampling, and clustered sampling. and Also regarding illustrations.
[BSc TN] Summary A Modern Introduction to Probability and Statistics
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Probability sampling techniques
These sampling techniques are used when the researcher wants to make inferences about
the population. The sample is selected based on known probability.
Simple random sampling
Sample is selected from population and has equal chance of being selected as a sample.
The sample is taken randomly from a sampling frame. Some common sampling frames
include the telephone directory, customer list and student list.
Steps:
1. Researcher needs a sampling frame.
Example: List of student’s name
2. Generated random number to determine which elements are to be selected as a
sample.
Use a : 1) Random numbers table
2) Computer random number generator
Steps: Type =RANDBETWEEN(1,15) in excel
It will generated random number between 1 to 15
Drag the column until you get your desire random numbers
3) Calculator
Steps: Press SHIFT Ran# =
1
, 3. Let’s try using random numbers table, researcher needs 5 samples out of 15
students. By using the first two column numbers, list down your 5 selected samples.
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