Having a strong statistical picture of data is important to

Having a strong statistical picture of data is important to being able to properly identify trends in statistical analysis. In R, how can an analyst identify appropriate sample distributions and test for normal distributions? What commands and factors are likely to affect the analysis?

There is no amount. Its just a general question.

Solution

Data analysis is a process for obtaining raw data and converting it into information, and an Analyst is the person who takes care of this.

To dentify appropriate sample distrinutions and test for normal distribution, an Analyst usually follows the following steps to result the best.

1. In Statistical analysis first task is to identify patterns in data, for example, whether there is a link between two variables, or whether certain groups are more likely to show certain attributes.

2. Second step is to identify two or groups from the data. This is done using a reference distribution, appling mean deviation etc.

3. For testing, different tests are used for comparing two groups, and for comparing three or more. These test usually depend on the way these groups are formed.

The commands and factors that are likely to affect the analysis are as following:

1. There should be proper set of evidences and proofs to justify the analysis report. If at any point this breaks, it adversely affects the analysis.

2. Usually people reject the view that dosnot support their views. In such a case, Analysis is again affected adversely as someone\'s perception is not justified.