This document discusses various methods for data interpretation and sampling. It defines data interpretation as understanding, organizing, and drawing appropriate solutions from given data. It then explains different ways that numerical data can be presented, such as line charts, bar charts, and pie charts. The document also discusses key concepts in sampling, including sample size, probability sampling methods like simple random sampling and stratified sampling, and non-probability sampling methods like convenience sampling and judgmental sampling. It provides brief definitions and explanations of these various sampling techniques.
In educational research, Research errors may be grouped under some headings:
1. Sampling errors
2. Measurement errors
3. Statistical errors
4. Interpretation errors
along with suggestions to reduce them
This article provides basics of the statistical techniques of Sampling and Sampling Distribution. Useful for students and scholars involved the research work in the field of humanities.
In educational research, Research errors may be grouped under some headings:
1. Sampling errors
2. Measurement errors
3. Statistical errors
4. Interpretation errors
along with suggestions to reduce them
This article provides basics of the statistical techniques of Sampling and Sampling Distribution. Useful for students and scholars involved the research work in the field of humanities.
Sampling Techniques and Sampling Methods (Sampling Types - Probability Sampli...Alam Nuzhathalam
ย
An overview of Sampling Techniques or Sampling Methods or Sampling Types (Probability Sampling: Simple Random Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Random Sampling, Multi Stage Sampling and Non Probability Sampling: Convenience Sampling, Quota Sampling,Judgmental Sampling,Self Selection Sampling,Snow Ball Sampling) Sampling Errors and Non Sampling Errors..
Sampling Techniques for population and Material
1) Simple Random Sampling
2) Stratified Sampling
3) Systematic Sampling
4) Cluster Sampling
5) Two stage sampling.
Sampling Techniques and Sampling Methods (Sampling Types - Probability Sampli...Alam Nuzhathalam
ย
An overview of Sampling Techniques or Sampling Methods or Sampling Types (Probability Sampling: Simple Random Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Random Sampling, Multi Stage Sampling and Non Probability Sampling: Convenience Sampling, Quota Sampling,Judgmental Sampling,Self Selection Sampling,Snow Ball Sampling) Sampling Errors and Non Sampling Errors..
Sampling Techniques for population and Material
1) Simple Random Sampling
2) Stratified Sampling
3) Systematic Sampling
4) Cluster Sampling
5) Two stage sampling.
Stratified Random Sampling.
Cluster Sampling.
Systematic Sampling.
Judgement sampling.
Quota Sampling.
Convenience Sampling.
Sampling Distribution of sample mean.
Sampling with Replacement.
Sampling Without Replacement.
Sample Distribution of Proportions.
Sample distribution of difference between two means.
Sampling techniques.
With Replacement.
Without Replacement.
Population in statistics means the whole of the information which comes under the preview of statistical investigation.
In other words, an aggregate of objects animate or in animate under study is the population.
It is also known as โUniverseโ.
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3. Numerical data can be presented in one or more of he following was
โข Line chart
โข Venn diagram
โข Bar chart
โข Pie chart
โข Tabular graph
โข Caselets
4. Sample Size
The number of
individual samples measured or
observations used in a survey or
experiment.
5.
6. Probability Sampling
A probability sampling method is
any method of sampling that utilizes
some form of random selection.
The key benefit of probability sampling methods is that
the sample chosen is representative of the population.
7. Simple random sampling
A simple random sample is meant
to be an unbiased representation of
a group.
8. Systematic sampling
Systematic sampling is a type of
probability sampling method in which
sample members from a larger population
are selected according to a random starting
point but with a fixed, periodic interval.
9. Stratified Sampling
Stratified sampling is a type of sampling
method in which the total population is
divided into smaller groups or strata to
complete the sampling process. The
strata is formed based on some common
characteristics in the population data.
10. Cluster Sampling
Cluster sampling is a sampling plan
used when mutually homogeneous yet
internally heterogeneous groupings
are evident in a statistical population.
11. Non probability sampling
Non-probability sampling is
a sampling technique where
the samples are gathered in a
process that does not give all the
individuals in the population equal
chances of being selected.
12. Convenience sampling
Convenience sampling is a type of non-
probability sampling that involves the
sample being drawn from that part of the
population that is close to hand.
