The probability of an outcome
A) is the number of times that the outcome occurs in the long run.
B) equals M N, where M is the number of occurrences and N is the population size.
C) is the proportion of times that the outcome occurs in the long run.
D) equals the sample mean divided by the sample standard deviation.
Answer: C
Probability
- The sample average is a random variable and
- If variables with a multivariate normal distribution have covariances that equal zero, then
- Assume that Y is normally distributed N(miu, sigma) . Moving from the mean (miu) 1.96 standard deviations to the left and 1.96 standard deviations to the right, then the area under the normal p.d.f. is
- To standardize a variable you
- The correlation between X and Y
- For a normal distribution, the skewness and kurtosis measures are as follows:
- The expected value of a discrete random variable
- The cumulative probability distribution shows the probability
- The probability of an event A or B (Pr(A or B)) to occur equals