**Suppose you conduct a test and your p-value is equal to 0.016. What can you conclude?**

**Concepts and reason**

Null hypothesis: The null hypothesis states that there is no difference in the test, which is denoted by Moreover, the sign of null hypothesis is equal **(=)**, greater than or equal

Alternative hypothesis: The hypothesis that differs from the is called alternative hypothesis. This signifies that there is a significant difference in the test. The sign of alternative hypothesis is less than **(<)**, greater than **(>)**, or not equal

P-value: The probability of getting the value of the statistic that is as extreme as the observed statistic when the null hypothesis is true is called as P-value.

**Fundamentals**

Rejection rule based on p-value:

**Answer:**

The p-value and the level of significance are compared to check if the null hypothesis is rejected or not.

If p-value is greater than the level of significance then the null hypothesis is not rejected otherwise it is rejected.

The p-value and the level of significance are compared to check if the null hypothesis is rejected or not.

If p-value is greater than the level of significance then the null hypothesis is not rejected otherwise it is rejected.