Answer:
sin 70 degrees = 0.9396, 0.9396*3 approximately equal to the 2.82cm one area is 6*2.82/2=8.46cm²
Step-by-step explanation:
- Known this square covers an area of 36 cm square, so its length is 6 cm.
- so, we know that the lower side of the triangle is six, half of it is 3 cm.
- We make a triangle, and then the Angle of the triangle is 70 degrees, so, we can use the sin is to use bottom neighborhood is sin70 degrees = hemline is present in addition to 3cm.
31. There are C(5, 2) = 10 ways to choose 2 colors from a group of 10 colors if you don't care about the order. (Here, we treat blue background with violet letters as being indistinguishable from violet background with blue letters.)
Only one of those 10 pairs is "B and V", so the probability is 1/10.
a) P(B and V) = 10%
32. The 12 inch dimension on the figure is 0 inches for the cross section. The remaining dimensions of the cross section are
c) 5 in. × 4 in.
_____
C(n, k) = n!/(k!·(n-k)!)
C(5, 2) = 5!/(2!·3!) = 5·4/(2·1) = 10
Answer:
C
Step-by-step explanation:
Descriptive statistics describe an event that happens over time. So bowler striking on 1/5 of his throws that night would be an example of descriptive statistics.
<u>Answer-</u>
<em>A. strong negative correlation.</em>
<u>Solution-</u>
<u>Direction of a relationship</u>
- Positive- If one variable increases, the other tends to also increase. If one decreases, the other tends to also. It is represented by positive numbers(i.e 0 to 1).
-
Negative- If one variable increases, the other tends to decrease, and vice-versa. It is represented by negative numbers(i.e 0 to -1)
<u>Strength of a relationship</u>
- Perfect Relationship- When two variables are linearly related, the correlation coefficient is either 1 or -1. They are said to be perfectly linearly related, either positively or negatively.
- No relationship- When two variables have no relationship at all, their correlation is 0.
As in this case, correlation coefficient was found to be -0.91, which is negative and close to -1, so it is a strong negative correlation.