Answer:
The error made here is a Type I error.
Step-by-step explanation:
A Type I error is the rejection of a null hypothesis (H₀) when indeed the null hypothesis is true. It is symbolized by α.
A Type II error is failing to discard a null hypothesis when indeed the null hypothesis is false. It is symbolized by β.
The hypothesis in this case is defined as follows:
H₀: The product does not change the height of the plant.
Hₐ: The product makes the plant grow taller.
The sample suggests that the product makes the plant grow taller, but it actually does not change the height of the plant.
So, the sample suggests to reject the null hypothesis when in fact the null hypothesis is true.
Thus, the error made here is a Type I error.
