Answer:
The approximate standard deviation of the sampling distribution of the mean for all samples of size n is
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.
The mean life expectancy of a certain type of light bulb is 945 hours with a standard deviation of 21 hours
This means that .
What is the approximate standard deviation of the sampling distribution of the mean for all samples of size n?
The approximate standard deviation of the sampling distribution of the mean for all samples of size n is
Answer:
Step-by-step explanation:
All equations have a equal sign while expressions have no equal sign. Some people say that equations and expressions are the same thing. That is not true.
Here’s an example.
Equations:
y=3x+3^2 (this is a linear equation)
f(x)=5x-3 (this is a Quadratic Equation)
expressions:
3x+3 (this is a simplified expression)
3x+4z-3a+-3(3x+2) (this is a extended expression)
Equations and expressions are not the same thing. Some people say this is true, but it is not. It may be true but equations have an equal sign. Expressions don’t have an equal sign because equations are able to be graphed and to evaluated. Expressions are able to be simplified and evaluated. Expressions and equations are different.