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.
Answer:
because they allow us to make direct comparisons
Step-by-step explanation:
Answer:
17
Step-by-step explanation:
Number of students in soccer club, n(S) = 50
Number of students in Art club, n(A) = 53
Number of students in Gaming club, n(G)
n(
) = 100
n(
) = 9
n(
) = 20
n(
) = 35
n(
) = 29
Formula:
n ( A ∪ B ∪ C ) = n(A) + n(B) + n(C) – n ( A ∩ B ) – n(B ∩ C) – n (A ∩ C) + n( A ∩ B ∩ C )
Putting the values:
100 = 50 + 53 + n(G) - 20 - 35 - 29 + 9
100 = 112 + n(G) - 84
n(G) = 72
Number of students in gaming club only = n(G) - n() - n() + n()
= 72 - 35 - 29 + 9
= <em>17</em>
135 mg*1g/1000mg*10dg/1g=1.35 dg
no it is not one x cannot have 2 y's.
