Question

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

Why would you use a nonparametric statistic?

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

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.

Answer 1

solution :

1)Average and Standard Deviation are proportion of focus and spread individually. Anyway normal is anything but difficult to figure and effectively understable to a layman moreover

2)Frequently, all things considered, circumstance we discover the utilization of parametric measurements is restricted as they make a few requirement and presumptions about the appropriation of the information and so on. Then again we locate that nonparametric measurement are significantly more adaptable in this circumstance. Likewise their application decreases the complexcity parametric insights includes. Above all else non parametric measurement is helpful for ordinal information too.

3) If two thing are corresponded, that doenot constantly imply that one is cusing the other. For instance the rising development of paddy in a field and the quantity of understudies going in an exam may demonstrate a positive connection however they no place have a causal relationship .

4) A case of anova is given underneath

Let's assume
we are utilizing 3 manures in a field N.P,IC We are noticing down the yield comparing to every one of these composmts. Our adage is to discover that whether every one of the manure has same ipact on yield. The autonomous variable here is Fertilizers which has 3 levels N P K and the needy variable is yield.