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.
Answer:
x + 10 < -4
Step-by-step explanation:
x + 10 is less than -4, so -4 would have to be greater. You would put x + 10 on the left side and on the right side would be -4. In between would be a less than sign because x + 10 is LESS than -4.
Answer:
<stv=153
Step-by-step explanation:
stu+stv=180 (being a straight angle)
3b +15b+18=180
18b=180-18
b=162/18
b=9
now
<stv=15b+18
=15 × 9 +18
=135+18
=153
<stv=153°
Let x be the number of boys, then,
(3*x*18+x*y)/(3x+x)=17
(54+y)/4=17
y=14 points each boy.
Answer:
=166.66% markup
Step-by-step explanation:
1800/300 = $6 a shirt
If they're being sold for $10
10/6 =5/3
=1.666
x100
=166.66% markup
