Answer:
13.98 in²
Step-by-step explanation:
I don't understand it, either.
Point N is part of a "segment" that above and to the right of chord MO. It is the sum of the areas of 3/4 of the circle and a right triangle with 7-inch sides. The larger segment MO to the upper right of chord MO has an area of about 139.95 in², which <u>is not</u> an answer choice.
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The remaining segment, to the lower left of chord MO does not seem to have anything to do with point N. However, its area is 13.98 in², which <u>is</u> an answer choice. Therefore, we think the question is about this segment, and we wonder why it is called MNO.
The area of a segment is given by the formula ...
A = (1/2)(θ -sin(θ))r² . . . . . . where θ is the central angle in radians.
Here, we have θ = π/2, r = 7 in, so we can compute the area of the smaller segment MO as ...
A = (1/2)(π/2 -sin(π/2))(7 in)² = 24.5(π/2 -1) in² ≈ 13.9845 in²
Rounded to hundredths, this is ...
≈ 13.98 in²
Answer:
v = 16
Step-by-step explanation:
p = 8/v and p = 1/2. Equating these two, we get 8/v = 1/2.
Inverting both sides, we get v/8 = 2.
Find the vaue of v by multiplying both sides by 8: v = 16
435 being the constant means that is what they started with
Hope this helps :)
Answer:
Step-by-step explanation:
I don't understand what the numbers before the language mean. I will answer the questions that have a definite language.
12 = 2 * 2 * 3
16 = 2 * 2 * 2 * 2
The answer is going to require you have 4 fours and one 3
2 * 2 * 2 * 2 * 3 = 48
24 = 2 * 2 * 2 * 3
36 = 2 * 2 * 3 * 3
The answer is going to require two threes and three 2s
2 * 2 * 2 * 3 * 3 = 72
What is this word numharthotic
26 = 2 * 13
49 = 7 * 7
The smallest number that can be divided by both with no remainder is
2 * 7 *7 * 13 = 1276
Answer:
The level of significance is the
b. maximum allowable probability of Type I error.
Step-by-step explanation:
The significance level provides the maximum probability of rejecting the null hypothesis when it is true. It is the same as a type I error (also known as false-positive). This error occurs when a researcher or investigator rejects a true null hypothesis that is supposed to be accepted. It is the opposite of a type II error (false-negative), which occurs when the researcher fails to reject a false null hypothesis.
