Answer:
And we can find this probability using the complement rule and we got:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
Where
and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and we got:
answer:
10 packs
Step-by-step explanation:
just do 30/3 and you get the answer!!!
:)
Answer:
(4, -5)
Step-by-step explanation:
Start from the origin, (0, 0). Go 4 units right and 5 units down.
K(4, -5)
Answer:
(2x+3)3 :)
Step-by-step explanation: