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In Exercises \(14.118-14.127\). we repeat the data from Exercises \(14.12-14.21\) and specify an alternative hypothesis for a correlation \(t-\)test. For each exercise, decide at the \(10%\) significance level. whether the data provide sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.

\(H_{a}:\rho \neq 0\)

Short Answer

Expert verified

Since, the value do not lie in the rejection region.

Thus, the null hypothesis is not rejected.

Step by step solution

01

Step 1. Given information

The level of significance is \(0.1\) and the data is,

02

Step 2. Calculation

The hypothesis are,

\(H_{0}:\rho=0\)

\(H_{a}:\rho<0\)

The table is shown below.

The value of \(r\) is,

\(r=\frac{\sum x_{i}y_{i}-\sum x_{i}\sum \frac{y_{i}}{n}}{\sqrt{\sum x_{i}^{2}-(\sum x_{i}^{2})}\sqrt{\sum y_{i}^{2}-(\sum y_{i})^{2}}}\)

\(=\frac{0-(15)\left ( \frac{5}{5} \right )}{\sqrt{69-\frac{(15)^{2}}{5}}\sqrt{25-\frac{(5)^{2}}{5}}}\)

\(=-0.685\)

The value of test statistic is,

\(t=\frac{r}{\sqrt{\frac{1-r^{2}}{n-2}}}\)

\(=\frac{-0.685}{\sqrt{\frac{1-(-0.685)^{2}}{3-2}}}\)

\(=-1.63\)

The degree of freedom is,

\(dof=n-2\)

\(=5-2\)

\(=3\)

The curve is shown below.

Since, the value do not lie in the rejection region.

Thus, the null hypothesis is not rejected.

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