Answer:
I am pretty sure it is A. 85°
The answer for the label on the cone below that represents the radius is A
Answer:
Step-by-step explanation:
we know that
A marathon is 131/5 miles long
If 4 people divide up the distance equally,
then
Divide the total distance by 4
Convert to mixed number
<span>Answer:
The probabilities that either a) the butterfly dies within 7 days or b) the butterfly lives longer than 7 days must add up to one. We know the second probability (lives longer than 7 days)--it is given. So now set up an equation and solve:
P(t > 7) = 36 / 13² = 36/169
-->
36/169 + x = 1 --> x = 1 - 36/169 = 133/169 ~ 0.7870 or 78.70%
b)
7% is the probability (the expected value) that a butterfly will survive more than t days. Again, this formula is given:
36/(t + 6)² = 0.07 --> (t + 6)² = 36/.07 --> t = âš(36/.07) - 6 ~ 16.68 days
This is the value of t that will give a probability of 7%.
c)
This one is a little trickier. Technically the mean lifetime should be calculated as:
â«t * p(t)dt where p(t) is the probability distribution function
But we have a cumulative probability distribution. I think we need to find the probability distribution from this cumulative one. Which is easy because the cumulative distribution function is an integral of the probability distribution function:
P(t) = â«p(x)dx, from x = t, to x = âž
Now hopefully it's easy to see that P(t) is an anti-derivative of p(x). Said the other way p(x) is the derivative of P(t):
P'(t) = -72/(t + 6)Âł
--> but p(t) shouldn't be negative--also you can convince yourself that it should be positive by using the above value (from t --> âž...you get -0 - a negative = a positive)
p(t) = 72/(t + 6)Âł
Now we can calculate the mean lifetime by integrating:
72â«t/(t + 6)Âłdt
--> there's a very easy u-substitution to use here:
u = t + 6 --> du = dt --> t = u - 6
-->
â«(u - 6)/uÂłdu = â«(1/u² - 6/uÂł)du = -1/u + 3/u² + C
--> now evaluate from t = 0 to t = âž or from u = 0 + 6 = 6 to u = âž
0 - (-1/6 + 3/36) = 1/6 - 1/12 = 1/12
--> multiply by the 72
72/12 = 6 days</span>
