Answer:
Step-by-step explanation:
Hello!
Suppose that the objective of the experiment is to test if a certain treatment modifies the mean of the population of interest.
If for example, the treatment is "new fertilizer" and the population of interest is "yield of wheat crops"
Then you'd expect that using the new fertilizer will at least modify the average yield of the wheat crops.
The hypotheses will be then
H₀: μ = μ₀
H₁: μ ≠ μ₀
Where μ₀ represents the known average yield of wheat crops. (is a value, for this exercise purpose there is no need to know it)
We know that the treatment modifies the population mean, i.e. the null hypothesis is false.
The sample we took to test whether or nor the new fertilizer works conducts us to believe, it does not affect, in other words, we fail to reject the null hypothesis.
Then we are in a situation where we failed to reject a false null hypothesis, this situation is known as <em><u>Type II error</u></em>.
I hope this helps!
1) 4
2) 3520
3) 3.8
4) 84
5) 15840
6) 9
7) 2
8) 24
9) 1.25
Answer:
The answer is a is precipitation and air temperature
Step-by-step explanation:
Answer:
Range=9, Mean=4.125
Step-by-step explanation:
Mean is the average. To find the average, just add all the numbers and divide the total amount of numbers present in the set.
The range is the highest number minus the smallest numbers. In this set the range is 9.
9-0=9
8 yards long and 6 yards wide and how many post did he use 6x8=18 multiply to get the number
