If X1, X2,.., X100 are 100 random variables that are identically, independently and normally distributed with mean μ = 150 and variance σ2 = 100, what is the expected value and standard deviation of their average? What is the approximate probability that this average lies between
If X1, X2,.., X100 are 100 random variables that are identically, independently and normally distributed with mean μ = 150 and variance σ2 = 100, what is the expected value and standard deviation of their average? What is the approximate probability that this average lies between
If X1, X2,.., X100 are 100 random variables that are identically, independently and normally distributed with mean μ = 150 and variance σ2 = 100, what is the expected value and standard deviation of their average? What is the approximate probability that this average lies between
If X1, X2,.., X100 are 100 random variables that are identically, independently and normally distributed with mean μ = 150 and variance σ2 = 100, what is the expected value and standard deviation of their average? What is the approximate probability that this average lies between 147 and 153?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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