Answer:
Mean is 12.13 months
Standard deviation is 1.29
Step-by-step explanation:
We need to use z-score here
Let the mean of the distribution be a while the standard deviation be b
Mathematically;
z-score = (x-mean)/SD
We can obtain the probability from the z-score
Now, for the 10th month
The z-score for a probability of P = 0.05(5%)
Can be obtained from the standard normal distribution table and that is;
-1.645
Hence;
-1.645 = (10 - a)/b
-1.645 b = 10 - a
a = 10 + 1.645b ••••••(i)
For the 13 month, we have a proportion of 75%
The z-score corresponding to P(0.75) is = 0.674 from standard normal distribution table
Hence;
0.674 = (13-a)/b
0.674b = 13 - a
a = 13 - 0.674b. •••••(ii)
Now equate both a;
10 + 1.645b = 13 - 0.674b
13-10 = 1.645 b+ 0.674b
3 = 2.319b
b = 3/2.319
b = 1.294
So the mean a will be
10 + 1.645b = 10 + 1.645(1.294) = 10 + 2.13
So mean is 12.13
Answer
<span>D) Any point on a perpendicular bisector is equidistant from each endpoint of the line segment.
Explanation.
A perpendicular bisector, divides the line segment in to two equal parts. It should be perpendicular to the line segment.
The best description the </span><span>the construction of a perpendicular bisector is the one that talks of a general points that lies along the perpendicular bisector and are equidistant from the two ends. From the choices the answer is; </span><span>Any point on a perpendicular bisector is equidistant from each endpoint of the line segment.</span>
Answer:
d. no; 0.7+1.4=2.1 is the answer...
because for forming a triangle the sum of two sides should be greater than the third side always.
while in this case it is equal so it is not possible to form a triangle...
Answer:
0.4
Step-by-step explanation:
The question is not complete, the correct question is:
Two events, X and Y, are independent of each other. P(Y) = 5/6 and P(X and Y) = 1/3. What is P(X) written as a decimal? Round to the nearest tenth, if necessary
Answer: Two events (event X and event Y) are said to be independent if the probability of event X occurring does not affect the probability of event Y occurring and vice versa. If the probability of X = P(X) and the probability of Y = P(Y), therefore P(X and Y) = P(X) × P(Y).
Given that P(Y) = 5/6 and P(X and Y) = 1/3. Therefore:
P(X and Y) = P(X) × P(Y)
Making P(X) the subject of formula by dividing through by P(Y) gives:
