There are two types of hypotheses: one is the null hypothesis and the other is the alternative hypothesis.

The null hypothesis states there is no significant difference between the population mean and observed mean.

Null hypothesis generally expressed as \(H_{0}\).

The level of significance means the probability of rejection of the null hypothesis when it is actually true.

A type-I error is rejecting the null hypothesis when it is true.

The null hypothesis states there is no significant difference between the population mean and observed mean.

Null hypothesis generally expressed as \(H_{0}\).

The level of significance means the probability of rejection of the null hypothesis when it is actually true.

A type-I error is rejecting the null hypothesis when it is true.