Answer:
26%
Step-by-step explanation:
Your 36 monthly payments will total ...
36 × $205.10 = $7383.60
$5860 of that is the amount you borrowed. The remainder is the interest you pay:
$7383.60 -5860 = $1,523.60
As a percentage of the original loan amount this is ...
$1523.60/$5860 × 100% = 26%
You pay back 26% of the original loan amount in interest.
Answer:
It's Parallel
Step-by-step explanation:
Perpendicular have to intersect
Answer:
0.477 is the probability that the average score of the 36 golfers was between 70 and 71.
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 70
Standard Deviation, σ = 3
Sample size, n = 36
Let the average score of all pro golfers follow a normal distribution.
Formula:
P(score of the 36 golfers was between 70 and 71)
![\text{Standard error of sampling} = \displaystyle\frac{\sigma}{\sqrt{n}} = \frac{3}{\sqrt{36}} = \frac{1}{2}](https://tex.z-dn.net/?f=%5Ctext%7BStandard%20error%20of%20sampling%7D%20%3D%20%5Cdisplaystyle%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%20%3D%20%5Cfrac%7B3%7D%7B%5Csqrt%7B36%7D%7D%20%3D%20%5Cfrac%7B1%7D%7B2%7D)
![P(70 \leq x \leq 71) = P(\displaystyle\frac{70 - 70}{\frac{3}{\sqrt{36}}} \leq z \leq \displaystyle\frac{71-70}{\frac{3}{\sqrt{36}}}) = P(0 \leq z \leq 2)\\\\= P(z \leq 2) - P(z \leq 0)\\= 0.977 - 0.500 = 0.477= 47.7\%](https://tex.z-dn.net/?f=P%2870%20%5Cleq%20x%20%5Cleq%2071%29%20%3D%20P%28%5Cdisplaystyle%5Cfrac%7B70%20-%2070%7D%7B%5Cfrac%7B3%7D%7B%5Csqrt%7B36%7D%7D%7D%20%5Cleq%20z%20%5Cleq%20%5Cdisplaystyle%5Cfrac%7B71-70%7D%7B%5Cfrac%7B3%7D%7B%5Csqrt%7B36%7D%7D%7D%29%20%3D%20P%280%20%5Cleq%20z%20%5Cleq%202%29%5C%5C%5C%5C%3D%20P%28z%20%5Cleq%202%29%20-%20P%28z%20%5Cleq%200%29%5C%5C%3D%200.977%20-%200.500%20%3D%200.477%3D%2047.7%5C%25)
![P(70 \leq x \leq 71) = 47.7\%](https://tex.z-dn.net/?f=P%2870%20%5Cleq%20x%20%5Cleq%2071%29%20%3D%2047.7%5C%25)
0.477 is the probability that the average score of the 36 golfers was between 70 and 71.
Answer:
b. E(X) = 3.015, STDEV(X)= 0.049, P (X ≤ 2.98) = 0.2941
Step-by-step explanation:
An uniform probability is a case of probability in which each outcome is equally as likely.
For this situation, we have a lower limit of the distribution that we call a and an upper limit that we call b.
The mean of the uniform probability distribution is:
![M = \frac{a + b}{2}](https://tex.z-dn.net/?f=M%20%3D%20%5Cfrac%7Ba%20%2B%20b%7D%7B2%7D)
The standard deviation of the uniform distribution is:
![S = \sqrt{\frac{(b-a)^{2}}{12}}](https://tex.z-dn.net/?f=S%20%3D%20%5Csqrt%7B%5Cfrac%7B%28b-a%29%5E%7B2%7D%7D%7B12%7D%7D)
The probability that we find a value X lower than x is given by the following formula.
![P(X \leq x) = \frac{x - a}{b-a}](https://tex.z-dn.net/?f=P%28X%20%5Cleq%20x%29%20%3D%20%5Cfrac%7Bx%20-%20a%7D%7Bb-a%7D)
Uniform distribution between 2.93 and 3.1 volts
This means that
. So
Mean:
![M = \frac{2.93 + 3.1}{2} = 3.015](https://tex.z-dn.net/?f=M%20%3D%20%5Cfrac%7B2.93%20%2B%203.1%7D%7B2%7D%20%3D%203.015)
Standard deviation:
![S = \sqrt{\frac{(3.1 - 2.93)^{2}}{12}} = 0.049](https://tex.z-dn.net/?f=S%20%3D%20%5Csqrt%7B%5Cfrac%7B%283.1%20-%202.93%29%5E%7B2%7D%7D%7B12%7D%7D%20%3D%200.049)
What is the probability that a battery has a voltage less than 2.98?
![P(X \leq 2.98) = \frac{2.98 - 2.93}{3.1 - 2.93} = 0.2941](https://tex.z-dn.net/?f=P%28X%20%5Cleq%202.98%29%20%3D%20%5Cfrac%7B2.98%20-%202.93%7D%7B3.1%20-%202.93%7D%20%3D%200.2941)
So the correct answer is:
b. E(X) = 3.015, STDEV(X)= 0.049, P (X ≤ 2.98) = 0.2941