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:
7.97 is the median
Step-by-step explanation:
Answer:2 3/10
Step-by-step explanation:
Answer:
<h2><u>
x= 9500</u></h2><h2 />
Step-by-step explanation:
5x(1200+700)= <u>9500</u>
Answer:
Step-by-step explanation:
Given that a marketing research firm is estimating which of two sodas (A or B) college students prefer.
Sample size of 75 was taken at random.
Since sample size is sufficiently large i.e. >30, and also since samples are taken at random, we can assume that sample proportion
p= follows a normal distribution with mean = 0.6 and variance = npq = 75(0.6)(0.4)
Yes, this sample is large enough to calculate a confidence interval.