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CNSL 503 MODULE 3 EXAM|| QUESTIONS AND 100% CORRECT ANSWERS ALREADY GRADED A+|| LATEST AND COMPLETE UPDATE WITH VERIFIED SOLUTIONS GUARANTEED PASS!!!

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CNSL 503 MODULE 3 EXAM|| QUESTIONS AND 100% CORRECT ANSWERS ALREADY GRADED A+|| LATEST AND COMPLETE UPDATE WITH VERIFIED SOLUTIONS GUARANTEED PASS!!!

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CNSL 503 MODULE 3 EXAM|| QUESTIONS AND
100% CORRECT ANSWERS ALREADY GRADED
A+|| LATEST AND COMPLETE UPDATE WITH
VERIFIED SOLUTIONS GUARANTEED PASS!!!
Statistic
a numerical value that is generated from the individual scores in the dataset of a
sample.




Parameter
a numerical value generated from the individual scores in the dataset of the entire
population.




representative sample
composed of members that generally possess the same characteristics as those of
the population. If a sample is not representative of the population, then it is said to
be biased.




Biased
if a sample is not representative of the population




What is the goal of sampling?

, 2|Page


to gather data that can be used to make predictions or generalizations about a
population




Random sampling
in which every member of the population has an equal chance of being selected,
increases the reliability of the study results.




What are 5 sampling techniques?
Simple Random sampling


Stratified sampling


cluster sampling


systematic sampling


convenience sampling




simple random sampling
occurs when each individual in the population of size has an equal chance of being
selected for the sample. If you have ever written individual names on separate
pieces of paper, placed all the pieces of paper in a hat, and selected names from the
hat, you have conducted simple random sampling.
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