Answer:
1/3
Step-by-step explanation:
In statistics, the probability of both an event A and an event B happening is equal to the probability of A happening multiplied by the probability of event B happening.
Let's say spinning a prime number is event A and rolling a number ≤ 4 is event B.
There are 8 possibilities on an eight equal segment spinner, and there are 4 prime numbers between 1 and 8 (including 8), which are 2, 3, 5, and 7. This means that the probability of spinning a prime number is 4/8, or 1/2
There are 6 possibilities on a die, and there are 4 possibilities of rolling a 4 or less (1, 2, 3, 4). Therefore, the probability of rolling 4 or less on a die is 4/6, or 2/3
The probability of both of these happening can be calculated by multiplying these together, so 1/2 * 2/3 = 2/6 = 1/3
Answer:
12x9= 124
Step-by-step explanation:
if you multply it right
I'm pretty sure the answer is "A matrix separates rational and irrational numbers." (Note: I'm not that great with memorizing definitions, but I'm pretty sure.) Hope this helps :)
The percentage of the area inside the square that is shaded is 55%.
<h3>What is the perimeter of the square?</h3>
Given:
The perimeter of the square is 20Cm
Each side of the square is = 5Cm
Area = ( Length x Width )
(5 x 5) = 25 =Area
Area = 25
Area of triangle 1 = (1/2) x 5 x (5 - 3) = 5 cm²
Area of triangle 2 = (1/2) x 5 x (5 - 3.5) = 6.25 cm²
Area of shaded portion = 25 - (5 + 6.25) = 13.75 cm²
Percentage of shade portion
= (13.75 cm² / 25 cm²) x 100%
= 55%
The percentage of the area inside the square that is shaded is 55%.
Learn more about area;
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Answer: A. Mean of sampling means 
Standard deviation of sampling means =
B. The probability that your sample has mean less than 165 is 0.1492 .
Given : The distribution of blood cholesterol level in the
population of young men aged 20 to 34 years is close to normal with
mean 
Mg/dl and standard deviation 
mg/dl.
Sample size : n= 150
Let 
sample mean values.
A. The mean and the standard deviation of the distribution of the sampling means would be :
Mean of sampling means =
Standard deviation of sampling means = 
The probability that your sample has mean less than 165 would be
Hence , the probability that your sample has mean less than 165 is 0.1492 .
