Verwenden Sie „random variable“ in einem Satz

1. however is often false in the short-term; any random variable can put pressure on a

2. 2: If X and Y are two independent discrete random variables, show that the expected value of X + Y is equal to the sum of the expected values of X and Y

3. The normal distribution is that of a continuous random variable, so that the probability of observing any specific value, say 1

4. 4 reveals that the probability is 10% that a normally distributed random variable will be greater than 1

5. 4 The ratio of the shaded area to the total area under the curve yields the probability that a normally distributed random variable will be at least 1

6. The probability is 90% that a normally distributed random variable drawn at ran­dom will lie within 1

7. 10: Show that the expectation of the mean of n independent identically distributed random variables with finite expectation θ is also θ

8. How many simulated samples n did we have to take each time? The proportion of values that fall into the rejection region is a binomial random variable with n trials and a probability β of success in each trial, where β is the desired power of the test

9. where Y is known as the dependent or response variable, X is known as the independent variable or predictor, f[X] is a function of known form, μ and β are unknown parameters, and Z is a random variable whose expected value is zero

10. In contrast to the significance level, the p-value is a random variable that varies from sample to sample

11. Like the p-value, the upper and lower confidence limits of a particular confidence interval are random variables, for they depend upon the sample that is drawn

12. By analogy with the lognormal distribution, we assume that price change is a random variable

13. This model says that the conditional and marginal probability distributions of an independent random variable are identical