Answer:
DBE = 33
Step-by-step explanation:
add 23 + 27 = 50
subtract 50 from 83
equals 33
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 committee of 5 students can be chosen from a student council of 30 students in 142506 ways.
No , the order in which the members of the committee are chosen is not important.
Step-by-step explanation:
Given : The total number of students in the council = 30
The number of students needed to be chosen = 5
The order in which the members of the committee are chosen does not matter.
So we Combinations (If order matters then we use permutations.)
The number of combinations of to select r things of n things = 
So the number of ways a committee of 5 students can be chosen from a student council of 30 students=

Therefore , a committee of 5 students can be chosen from a student council of 30 students in 142506 ways.
Replace x=3 so 3 squared is 9 and when u add 2 it equals 11
Answer:
The standard deviation of the distribution of sample means for samples of size 60 is of 1.2264.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
Standard deviation is 9.5 for a population.
This means that 
Sample of 60:
This means that 
What is the standard deviation of the distribution of sample means for samples of size 60?

The standard deviation of the distribution of sample means for samples of size 60 is of 1.2264.