Solution by Steps
step 1
Formulate the null hypothesis (H0) and the alternative hypothesis (Ha) $H_0$: There is no significant difference in the yield of oil palm between Fertilizer F1 and Fertilizer F2.
$H_a$: There is a significant difference in the yield of oil palm between Fertilizer F1 and Fertilizer F2.
step 2
Calculate the differences in yield for each state
\begin{align*}
\text{Sarawak} & : 135.2 - 131.1 = 4.1 \\
\text{Perak} & : 83.6 - 82.4 = 1.2 \\
\text{Selangor} & : 45.0 - 44.2 = 0.8 \\
\text{Johor} & : 71.7 - 70.6 = 1.1 \\
\text{Sabah} & : 68.1 - 67.8 = 0.3 \\
\text{Melaka} & : 97.4 - 94.9 = 2.5 \\
\end{align*}
step 3
Calculate the mean (dˉ) and standard deviation (sd) of the differences \begin{align*}
\bar{d} & = \frac{4.1 + 1.2 + 0.8 + 1.1 + 0.3 + 2.5}{6} = 1.6667 \\
s_d & = \sqrt{\frac{\sum (d_i - \bar{d})^2}{n-1}} \\
& = \sqrt{\frac{(4.1-1.6667)^2 + (1.2-1.6667)^2 + (0.8-1.6667)^2 + (1.1-1.6667)^2 + (0.3-1.6667)^2 + (2.5-1.6667)^2}{5}} \\
& = 1.346
\end{align*}
step 4
Calculate the t-statistic using the formula:
\begin{align*}
t & = \frac{\bar{d}}{s_d / \sqrt{n}} \\
& = \frac{1.6667}{1.346 / \sqrt{6}} \\
& = 3.01
\end{align*}
step 5
Determine the degrees of freedom (df) and the critical t-value from the t-distribution table at α=0.05 \begin{align*}
df & = n - 1 = 6 - 1 = 5 \\
t_{\text{critical}} & = 2.571 \quad (\text{two-tailed test})
\end{align*}
step 6
Compare the calculated t-statistic with the critical t-value to make a decision
Since $3.01 > 2.571$, we reject the null hypothesis.
step 7
Conclude that there is a significant difference in the yield of oil palm between Fertilizer F1 and Fertilizer F2 at the 0.05 significance level
Answer
There is a significant difference in the yield of oil palm between Fertilizer F1 and Fertilizer F2 at the 0.05 significance level.
Key Concept
Explanation
A paired t-test is used to compare the means of two related groups. In this case, the yields from the same plantations treated with two different fertilizers are compared.