1 Why would you use a nonparametric statistic 2 What is more

1) Why would you use a nonparametric statistic?

2) What is more useful for computing and understanding a measure of something, the average deviation or the standard deviation? Why?

3) Describe an experiment requiring the statistic ANOVA for analysis. Describe the Dependent Variable, the Independent Variable, the Levels of the Independent variable, and make sure you are using the correct types of data for each variable.

4) If two things are correlated, does that mean one thing is causing the other to happen?

Solution

Often in real life situation we find the application of parametric statistics is limited as they make several constraint & assumptions about the distribution of the data & etc. On the other hand we find that nonparametric statistic are much more flexible in this situation. Also their application reduces the complexcity parametric statistics involves. Most of all non parametric statistic is useful for ordinal data also.

2) Average and Standard Deviation are measure of centre and spread respectively. However average is easy to compute & easily understable to a layman also

3) An example of anova is given below

Say we are using 3 fertilisers in a field N,P,K. We are noting down the yield corresponding to each of these fertilisers. Our motto is to find out that whether each of the fertiliser has same effect on yield. The independent variable here is Fertilisers which has 3 levels N P K. and the dependent variable is yield.

4) If two thing are correlated, that doenot always mean that one is cusing the other. For example the rising growth of paddy in a field and the number of students passing in a exam may show a positive correlation but they nowhere have a causal relationship .