Table of Contents

## How do you write the null and alternative hypothesis in words?

The null statement must always contain some form of equality (=, ≤ or ≥) Always write the alternative hypothesis, typically denoted with H a or H 1, using less than, greater than, or not equals symbols, i.e., (≠, >, or <).

## What happens when you reject the null hypothesis?

In null hypothesis testing, this criterion is called α (alpha) and is almost always set to . 05. If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected. When this happens, the result is said to be statistically significant .

## Do you reject null hypothesis p value?

If your p-value is less than your selected alpha level (typically 0.05), you reject the null hypothesis in favor of the alternative hypothesis. If the p-value is above your alpha value, you fail to reject the null hypothesis.

## How do you use the P value to reject the null hypothesis?

If the p-value is less than 0.05, we reject the null hypothesis that there’s no difference between the means and conclude that a significant difference does exist. If the p-value is larger than 0.05, we cannot conclude that a significant difference exists.

## Can P value ever be 0?

The level of statistical significance is often expressed as a p-value between 0 and 1. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. You should note that you cannot accept the null hypothesis, we can only reject the null or fail to reject it.

## Is a higher P value better?

How likely is the effect observed in your sample data if the null hypothesis is true? High P values: your data are likely with a true null. Low P values: your data are unlikely with a true null.