Which of the following statement about the normal distribution is FALSE()
A: It is completely described by its mean and standard deviation.
B: It has a skewness of 1.
C: It is bell-shaped.
A: It is completely described by its mean and standard deviation.
B: It has a skewness of 1.
C: It is bell-shaped.
B
举一反三
- 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.
- 2.Which of the following about the normal distribution is NOT true A: Theoretically, the mean, median, and mode are the same. B: About 2/3 of the observations fall within ±1 standard deviation from the mean. C: It is a discrete probability distribution. D: Its parameters are the mean, μ, and standard deviation, σ.
- Which of the following is true about the sampling distribution of the sample mean? A: The mean of the sampling distribution is always μ. B: The standard deviation of the sampling distribution is always σ. C: The shape of the sampling distribution is always approximately normal. D: D) All the alternatives are correct
- Which of the following about the normal distribution is NOT true?
- 中国大学MOOC: A population distribution is normal with a mean of 18 and standard deviation of 4. A sample of 16 observations is selected and a sample mean computed. What is the probability that the sample mean is more than 18?
内容
- 0
A standard normal distribution is a normal distribution with:
- 1
Which of the following statement about the article is FALSE? _______ A: It is a news report. B: It is an opinion. C: It is in the pyramid structure. D: It has a direct lead.
- 2
Let X be a normal random variable with mean 20 and standard deviation 4. The 90th percentile of X is ____________.
- 3
The difference between the sample mean and the population mean is called the: A: population deviation. B: population standard deviation. C: standard error of the mean. D: sampling error.
- 4
A standardised normal distribution has the following characteristics: