Question

Hi, can you help me answer this question please, thank you!

Answer 1

We are given the following data

Significance level = 0.1

For the first data

`\begin{gathered} n=45 \\ \bar{x_1}=3.47 \\ \sigma_1=0.07 \end{gathered}`

For the second data

`\begin{gathered} n=45 \\ \bar{x}_2=3.49 \\ \sigma_2=0.02 \end{gathered}`

We can get the test statistic as follow

`z=\frac{\bar{x_1-}\bar{x_2}}{\sqrt[]{(\sigma^2_1)/(n_1)+(\sigma^2_2)/(n_2)}}`

Thus

`\begin{gathered} z=\frac{3.47-3.49}{\sqrt[]{(0.07^2)/(45)+(0.02^2)/(45)}}=(-0.02)/(0.01085)=-1.842 \\ z=-1.84 \end{gathered}`

The test statistic is the z-score above = -1.84

The p-value of the z-score value obtained above is found out to be 0.07

Since the p-value obtained is less than the significance level, we will reject the null hypothesis