Answer:
Statistical significance relates to whether an effect exists.
Practical significance refers to the magnitude of the effect.
And you can have statistical significance but not practical.
Step-by-step explanation:
Let's analize it with an example.
Suppose that your new treatment involves hair recovery.
You divide the population of the test in two different groups.
And you apply the treatment to only one of them.
You can see that the treatment works and there is a 3% improvment.
You have statistical significance. The treatment worked.
Now, if the test was expensive, the 3% improvement might not be practical.
A) (-4,2π/3)
b) (4,4π/3)
c) (-2,π/3)
d) (2,5π/3)
The pool is 40 since half of the other rectangle is 50 which the 2 halfs equal 100 and we already know the top side measurement which is 40 and 2 sides of 40 equal 80 and there’s 20 left so this concludes that’s the sides are 10 and square sides are congruent to each other which concludes that’s the AREA is 40
Answer:
h = 3V / πr^2
Step-by-step explanation:
Isolate the variable by dividing each side by factors that don't contain the variable.
