#### IvanCarrie

##### New member

- Joined
- Jan 2, 2019

- Messages
- 4

\(\displaystyle H_0: \mu <= \mu_{0}\)

\(\displaystyle H_1 : \mu > \mu_{0}\)

If the null hypothesis is true we expect the sample mean to be relatively small.

I don't understand why it would expect it to be small. There's no restriction on \(\displaystyle \mu_{0}\) that I can see.

\(\displaystyle H_1 : \mu > \mu_{0}\)

\begin{align}%\label{} W(X_1,X_2, \cdots,X_n)=\frac{\overline{X}-\mu_0}{\sigma / \sqrt{n}}, \end{align} |

If the null hypothesis is true we expect the sample mean to be relatively small.

I don't understand why it would expect it to be small. There's no restriction on \(\displaystyle \mu_{0}\) that I can see.

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