Question

1. More often than not, Inferential statistical methods are the best way to illustrate information by using graph, charts and numerical values to validate theories.

Question 1 options:

	True
	False

2. There can be both positive and negative correlations between variables that are statistically significant enough to validate causation.

Question 2 options:

	True
	False

3.

Symmetrical data results in descriptive statistics that demonstrate little variance

	True
	False

4.

In matters of ranking results on exams, and other tools to measure performance, percentiles are a good method to assess performances within a cohort.

	True
	False

5.

Floors and ceilings rarely give consumers a true picture of cost paid by suppliers.

	True
	False

Answer 1

1.More often than not, Inferential statistical methods are the best way to illustrate information by using graph, charts and numerical values to validate theories.

Answer: TRUE

Explanation:

As the characteristics of the population is unknown to us we try to estimate the unknown nature of the population from the known nature of the sample. In this case we use different type of hypothetical testing to validate our theories.For that we required to have the expectation of the sample as well as the standard daviation. We then reject or do not reject our hypothesis based on the confidence interval in the values of the test statistics.In such a case critical region can be shown under a curve which helps to get our results. Also the trending behaviour in the time series model can be seen from the line graphs. So the above statement is True.