WhichofthefollowingstatementsconcerningadistributionwithpositiveskewnessandpositiveexcesskurtosisisFALSE（）
A: The mean will be greater than the mode.
B: It has a lower percentage of small deviations from the mean than a normal distribution.
C: There are a large number of positive outliers.
A: The mean will be greater than the mode.
B: It has a lower percentage of small deviations from the mean than a normal distribution.
C: There are a large number of positive outliers.
举一反三
- If n samples are extracted from any population with mean value [img=11x18]1803dc1a4012523.png[/img] and variance [img=18x22]1803dc1a48a9511.png[/img], then A: When n is sufficiently large, the distribution of sample mean is approximately normal distribution. B: When n<10, the distribution of sample mean is approximately normal distribution. C: The distribution of sample mean is nothing to do with n. D: No matter how big n is, the distribution of the sample mean is not going to be close to a normal distribution.
- Which of the following about the normal distribution is NOT true? A: Theoretically, the mean, median, and mode are the same B: About 68% of the observations fall within ±1 standard deviation from the mean C: Its parameters are the mean, μ, and standard deviation, σ D: It is a discrete probability distribution.
- For any normal distribution, any value less than the mean would have a _______.
- Theoretically, the mean, median, and mode are all equal for a normal distribution.
- True or False: Theoretically, the mean, median, and mode are all equal for a normal distribution.