Let's say you want to compute the probability
where
converges in distribution to
, and
follows a normal distribution. The normal approximation (without the continuity correction) basically involves choosing
such that its mean and variance are the same as those for
.
Example: If
is binomially distributed with
and
, then
has mean
and variance
. So you can approximate a probability in terms of
with a probability in terms of
:
where
follows the standard normal distribution.
-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7, in Order from least to greatest
Fudgin [204]
-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7
Answer:
An equation is 
Step-by-step explanation:
Let 
be the measure of the unknown acute angle.
According to angle sum property of a triangle, sum of all the angles of a triangle is equal to 180°.
One of the acute angles of a right triangle is equal to 52°.
Also, the triangle is a right angled triangle, one of the angle must be equal to 90°.
So, an equation is
Answer: ($3.532, $4.166)
Step-by-step explanation:
Given : Significance level : 
Critical value : 
Sample size : n= 157
Sample mean : 
Standard deviation : 
The confidence interval for population mean is given by :_
Hence, the 0% confidence interval for the average tip given at this restaurant = ($3.532, $4.166)
Answer:
The right response is Option c ($185,870,742).
Step-by-step explanation:
Given:
n = 30
r = 5.4%
or,
= 0.054
Periodic payment will be:
($)
Now,
The present value will be:
= 
By substituting the values, we get
= 
= 
= 
($)
