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:
The answer is 3/4 because 2/4 + 1/4 = 3/4.
The formula for area of a triangle is base x height x 1/2
Answer:
answer is 6
Step-by-step explanation:
hard to explain but you have to find the price of 1 candle
Answer:
b 2,3,8
Step-by-step explanation:
Y=234678
Z=278910
X=12358
234678910 n 12358
=238