**Take a Grasp over P- Value or Calculated Probability**

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**Definition of P- value:**

One of the major topics found in statistics is the concept of P- value. However, according to the statistical concept, P- value is a purpose of the noticed sample results which is utilized to test a statistical hypothesis. In the other words, the P- value which is a calculated probability is used to figure out the observed result when null hypothesis or H_{0 }is true.

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**Interpretation of P- value:**

The P- value signifies a number between 0 and 1 and it can be explained in the below manner:

**A small P**– value which is basically, ≤ 0.05 implies firm proof against the null hypothesis. Here, you can reject that null hypothesis.**In case of large P**– value which is > 0.05, the null hypothesis can’t be rejected as it implies weak affirmation.- Values which are extremely close to 0.05 are regarded as marginal.

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**Examples:**

If you go through some of the examples, your concept would be clearer. There are some common examples that you can also find in the manuals of P- value Homework Help and they are:

- Five heads in a row.
- One roll of a pair of dice.
- Alternating coin flips.
- Sample size dependence.
- Impossible outcome and very unlikely outcome.
- Coin flipping.

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