I want to say 7.6% is the answer
Answer: It is B)
Step-by-step explanation: It was 8.66 something and that rounded to the nearest tenth is 8.7
Answer:
No Solution
Explanation:
5(3 - 9b) = 3(-15b – 2)
Expand
5(3 - 9b): 15 - 45b
3(-15b - 2): -45b - 6
15 - 45b = -45b - 6
Subtract 5 From Both Sides
15 - 45b - 15 = -45b - 6 - 15
Simplify
-45b = -45b - 21
Add 15b To Both Sides
-45b + 15b = -45b - 21 + 15b
Simplify
0 = -21
No Solution
Answer:
a)
b) 
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".
Part a
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 like this:
And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.
Part b
For this case we select a sample size of n =32. Since the distribution for X is normal then the distribution for the sample mean
is given by:
And the new z score would be:



Answer:
<u><em>a) P(X=1) = 0.302526</em></u>
<u><em>b) P(X=5) = 0.010206</em></u>
<u><em>c) P(X=3) = 0.18522</em></u>
<u><em>d) P(X≤3) = 0.92953</em></u>
<u><em>e) P(X≥5) = 0.010935</em></u>
<u><em>f) P(X≤4) = 0.989065</em></u>
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<u><em>If helpful, please mark as brainliest! =)</em></u>