20%
This is because 20 and it's opposite -20 is 40. (20 - -20 = 40). Then 40 is 20% of 200.
49-17.50 then add that with 5 then add it in a promotion
Answer:
if she got 4 questions wrong it would be 12
her score if she got x questions wrong it would be 20-2x
Answer:
H0: μ = 5 versus Ha: μ < 5.
Step-by-step explanation:
Given:
μ = true average radioactivity level(picocuries per liter)
5 pCi/L = dividing line between safe and unsafe water
The recommended test here is to test the null hypothesis, H0: μ = 5 against the alternative hypothesis Ha: μ < 5.
A type I error, is an error where the null hypothesis, H0 is rejected when it is true.
We know type I error can be controlled, so safer option which is to test H0: μ = 5 vs Ha: μ < 5 is recommended.
Here, a type I error involves declaring the water is safe when it is not safe. A test which ensures that this error is highly unlikely is desirable because this is a very serious error. We prefer that the most serious error be a type I error because it can be explicitly controlled.
Am I supposed to answer the sum of each one ?