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Various sampling techniques used in statistics, including probability and non-probability sampling methods such as simple random sampling, systematic random sampling, stratified random sampling, cluster sampling, multi-stage sampling, probability sampling, and non-probability sampling. It also explains the concept of a margin of error and how it relates to sample size and population size. Examples and formulas are provided to illustrate the concepts.
Typology: Study notes
Uploaded on 04/15/2020
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often referred to as the “universe”
the totality of objects, individuals or things under consideration
a group of phenomena that have something in common
All registered voters in City of Malolos
All members of the International Machinists Union
All Filipinos who played basketball at least once in the past year
All daily maximum temperatures in July for major Manila cities
All basal ganglia cells from a particular rhesus monkey
a part of the population selected for analysis
a finite part of statistical population whose properties are studied to gain information about the whole
Economy
Timeliness
Large size of many population
Inaccessibility of some population
Destructive nature of the observation
Reliability or accuracy
A sample is expected to mirror the population from which it comes from. Sample reflects the characteristics of the population, so those sample findings can be generalized to the population. This serves as a basis for conducting computations for the margin of error.
Elections
Which is more reliable, the result of the opinion poll or the national election? Why?
The result of the election includes the whole population (all Filipino voters) while polls only include a representative (sample) from the population.
a.) n= 50 c.) n= 500 b.) n= 250 d.) n= 800
It is expected as the sample size approaches the size of population, maximum reliability is expected among the estimates of the results.
MOE= ± 2.2%
the gap between the Statistics and Parameter
this indicates the radius of confidence interval
asserts how close is the result from the sample and the result from the population
applies whenever one uses a sample instead of population
the gap between the 100% reliability and the maximum reliability.
If Trump had a 62%, it would mean that the parameter ranges from 59.8% to 64.2%. For Clinton, it would mean that the parameter ranges from 37.8% to 42.2%.
n= sample size
N= population size
e= margin of error