Answer:
The standard error of your estimate of the average height in the city is 0.5 inches.
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.
You begin by collecting the heights of a random sample of 196 people from the city.
This means that
The standard deviation of the heights in your sample is 7 inches.
This means that
The standard error of your estimate of the average height in the city is
The standard error of your estimate of the average height in the city is 0.5 inches.
2x^4 + x^3 − 8x^2 − 4x
= x ∙ (2x^3 + x^2 − 8x − 4)
= x ∙ (x^2 ∙ (2x + 1) − 4 ∙ (2x + 1))
= x ∙ (x^2 − 4) ∙ (2x + 1)
= x ∙ (x − 2) ∙ (x + 2) ∙ (2x + 1)
Thus the roots are:
x ∙ (x − 2) ∙ (x + 2) ∙ (2x + 1) = 0
⇒ [x = 0] or [x − 2 = 0] or [x + 2 = 0] or [2x + 1 = 0]
⇒ [x = 0] or [x = 2] or [x = −2] or [x = − 1/2]
Answer:
64
Step-by-step explanation:
2*4=8
8*4=32
4*4=16
16*2=32
32+32=64
Answer:
Minus 9.09090909% decrease
50 because if you do PEMDAS you would do 6+4=10 and then again 6+4=10 you would have 10 and 10 in 2 different parenthesis so then go to 25*2=50 then multiply 10 and 10 which is 100 then subtract 50 from 100 which is 50 and then there is your answer