The statement is True. According to the Central Limit Theorem, in a sufficiently large random sample, the distribution of a random variable X, with mean μ and standard deviation σ, is a normal distribution with mean μ and standard deviation σ/sqrt(n).
1. The Central Limit Theorem states that the distribution of the sample means of a large sample size will approach a normal distribution, regardless of the original distribution of the population from which the sample is drawn.
2. For a sufficiently large sample size, the mean of the sample means will approach the population mean (μ) and the standard deviation of the sample means will approach the population standard deviation divided by the square root of the sample size (σ/sqrt(n)).
3. Therefore, in a sufficiently large random sample, the distribution of a random variable X, with mean μ and standard deviation σ, is a normal distribution with mean μ and standard deviation σ/sqrt(n).
This is the case because the Central Limit Theorem states that the distribution of sample means is approximately normal, regardless of the original distribution of the population from which the sample is drawn.
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B (-2,3)
C (6,-3)
A. 15 units
B. square root 250 units
C.15+ square root 125 units
D.125+ square root 125 units
Answer:
The answer to your question is: letter C
Step-by-step explanation:
Data
A (-5 , -1)
B (-2, 3)
C (6, -3)
Perimeter = ?
Formula
distance AB
d = 5
Distance BC
d = 10
Distance AC
d = 11.2
Perimeter = 5 + 10 + 11.2
= 15 +
Answer:
see below
Step-by-step explanation:
This is a geomtric sequence
an = a1 r^(n-1)
a1 =1 and r=2
an = 2 ^(n-1)
A=a1 =1
B =a2 = 2^(2-1) =2
C =a3 = 2^(3-1) = 2^2 =4
D = a4 = 2^(4-1) = 2^3 = 8
E = a5 = 2^(5-1) = 2^4 = 16
F = a6 = 2^(6-1) = 2^5 = 32
G = a7 = 2^(7-1) = 2^6 = 64
H = a8 = 2^(8-1) = 2^7 = 128
Answer:
Kevin earns $122.5 a month.
Step-by-step explanation:
First we sum, 212.5 + 32.5 = 245 which is twice the amount of $ Kevin makes in a month, so we divide by 2, 245/2 which is 122.5