Answer:
B
Step-by-step explanation:
Use the Law of Cosines to find the measure of segment c:

c ≈ 23.01593821 km ≈ 23 km
Since c = 23 km, our only options are choices B and D. Now, let's find the measure of angle A to confirm. To do this we will use the Law of Sines:
![\frac{sin(A)}{a} =\frac{sin(C)}{c} \\\\\frac{sin(A)}{12}=\frac{sin(134)}{23.01593821}\\\\sin(A)=12(\frac{sin(134)}{23.01593821})\\\\A=sin^{-1}[12(\frac{sin(134)}{23.01593821})]\\\\](https://tex.z-dn.net/?f=%5Cfrac%7Bsin%28A%29%7D%7Ba%7D%20%3D%5Cfrac%7Bsin%28C%29%7D%7Bc%7D%20%5C%5C%5C%5C%5Cfrac%7Bsin%28A%29%7D%7B12%7D%3D%5Cfrac%7Bsin%28134%29%7D%7B23.01593821%7D%5C%5C%5C%5Csin%28A%29%3D12%28%5Cfrac%7Bsin%28134%29%7D%7B23.01593821%7D%29%5C%5C%5C%5CA%3Dsin%5E%7B-1%7D%5B12%28%5Cfrac%7Bsin%28134%29%7D%7B23.01593821%7D%29%5D%5C%5C%5C%5C)
A ≈ 22.02726885° ≈ 22°
Since the measure of c = 23 km and the measure of angle A = 22°, the answer must be choice B.
Answer:
-a market's condition is the correct answer
Step-by-step explanation:
edge 2021 :)
Answer:
The 95% confidence interval would be given by (0.027;0.093)
A. 0.027 to 0.093.
Step-by-step explanation:
Notation and definitions
number of defective.
random sample taken
estimated proportion of defectives
true population proportion of defectives
A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".
The margin of error is the range of values below and above the sample statistic in a confidence interval.
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 population proportion have the following distribution
Solution to the problem
In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by
and
. And the critical value would be given by:
The confidence interval for the mean is given by the following formula:
If we replace the values obtained we got:
The 95% confidence interval would be given by (0.027;0.093)
A. 0.027 to 0.093.
2 + 5 + 3 = 10 total cookies
event A picking a chocolate chip cookie = 2/10 reduced to 1/5 probability
event B picking a sugar cookie after 1 cookie was already picked = 3/9 reduced to 1/3
probability of both: 1/5 x 1/3 = 1/15 probability