Example:
A manufacturing company has developed and introduced a new technology
in its factory. This technology produces superior cables in comparison
to cables produced by existing technology. The company wants to test the
cables produced by new technology and compare it with cables produced
by old technology.
Research Hypothesis: New technology is superior to existing technology
Population: All cables that have been ever produced by the new technology and the existing technology
Sample: Selection of ten cables produced by new technology and ten cables produced by existing technology
Data Collection:
Conducting various tests on variables related to the quality of cables
on a sample of twenty cables. Then quantitative data is collected on
these variables.
Statistical Analysis
and Inference: The analysis of data obtained from these two test groups
will result in inference that new technology is better than old
technology. This will happen if the variable related to quality show
superior results for new technology in comparison to existing
technology. This has to be validated by sample data of 20 cables
classified into two groups of new and existing technology.
Advantage: We test on 20 cables and generalize for thousands of cables produced and thus save time and money.
Probability: This
generalization of results from 20 cables to thousand of cables ever
produced involve some uncertainty quantified by probability (level of
significance and level of confidence)
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