Data Analysis Methods Used in Quantitative Research. Essay
Quantitative methods are research techniques that are used to gather quantitative data — information dealing with numbers and anything that is measurable e.g. Statistics, tables and graphs, are often used to present the results of these methods.
Quantitative research methods were originally developed in the natural sciences to study natural phenomena. However examples of quantitative methods now well accepted in the social sciences and education.
Differences between parametric and non parametric methods
Parametric method Non parametric
Assumes data comes from a type of probability distributions ( they are not distribution-free) Distribution free methods which do not rely on assumptions that the data are drawn from a …show more content…
1) Formulate the null and alternative hypothesis
The first step is to formulate the null hypothesis (the hypothesis that is being tested) and the alternative hypothesis. Exactly what parameter is relevant for the problem at hand and what value of this parameter is relevant for the problem at hand and what value of this parameter constitutes the null hypothesis. Is alternative hypothesis one sided alternative, which means that the decision maker cares about departures from the null hypothesis in one direction? Or is the alternative hypothesis a two- sided alternative, which means that the decision maker wants to detect departures from the null hypothesis in both directions
-To be specific, suppose that we take case of the firm that receives the shipment of light bulbs. In this case as we know null hypothesis is that the mean length of life of the bulbs in the shipment is 2000 hours and the alternative hypothesis is one sided ( namely that the mean length of life is less than 2000 hours).
- suppose that the firm knows from past experience that the standard deviation of length of life of light bulbs in a shipment o This sort is 200 hours and that is tests a random sample of 100 bulbs.
What sort of test procedure or decision rule should the firm use to determine whether, once it obtains the results of the sample, it should reject the null hypothesis (and reject the shipment)?
Clearly the firm should be more inclined to