The standard normal probability distribution is unique because it has _________.
A mean of 0 and a standard deviation of 1
The upper and lower limits of a uniform probability distribution are __________.
The maximum and minimum values of the random variable
The mean of any uniform probability distribution is _________.
(a + b)/2
Tables of normal distribution probabilities are found in many statistics books. These probabilities are calculated from a normal distribution with ___________.
A mean of 0 and a standard deviation of 1
Which of the following is true in a normal distribution?
The mean divides the distribution into two equal areas.
Which of the following is a characteristic of the normal probability distribution?
It's bell-shaped.
Which of the following is true regarding the normal distribution?
The mean, median, and mode are all equal.
What is a normal distribution with a mean of 0 and a standard deviation of 1 called?
Standard normal distribution
Sampling error is the difference between a sample statistic and its corresponding _________.
Population parameter
What is the difference between a sample mean and the population mean called?
Sampling error
For a given population, the mean of all the sample means Picture of sample size n, and the mean of all (N) population observations (X) are _______.
Equal to the population mean �
The mean of all the sample means is _______.
�
According to the central limit theorem, ____________.
The sampling distribution of the sample means is approximately normally distributed
The size of the sampling error is ________.
inversely related to the sample size
When dividing a population into subgroups so that a random sample from each subgroup can be collected, what type of sampling is used?
Stratified random sampling
All possible samples of size n are selected from a population and the mean of each sample is determined. What is the mean of the sample means?
The population mean.
The true sampling error is usually not known because ________.
Correct � is unknown