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Parametric and nonparametric methods

I would like an explanation and example of two statistical methods:

1. Parametric method:

- Hypothesis ( null and alternative)

- Simple example and explanation in layman's terms

- Confidence level 90%

- Need the critical value explains how attained

- Need Z-score and explained if appropriate ( think this comes from the table, i.e., 90% should be 1.28???

- Compare each data point to the claimed value and sum these. Then compare the critical value and test statistic

- Do we accept or reject Ho or H1 at the stated level of confidence and why? Made in a statement.

2. Nonparametric method:

- Run test

- Simple example and explanation using zero (0) and (1) Ten runs...
(11111 000 11 0000 11111 00 111 00000 1111 000)

- Be sure to include whether it exceeds critical value and why

- Test for randomness (explain)

If you could provide me with some references for further understand that would be good.

In summation I want to be able to discuss the goals of two statistical methods.

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Solution Summary

The solution provides step by step method for various parametric and non parametric methods