The total area under a normal distribution is infinite-T/F
False
The standard normal distribution is a continuous distribution-T/F
True
ALl variables that are approximately normally distributed can be transformed to standard normal variable-T/F
True
The z-value corresponding to a number below the mean is always negative-T/F
True
The area under the standard normal distributions to the left of z=0 is negative-T/F
False
The central limit theorem applies to means of samples selected from different populations
F
The mean of the standard normal distribution is
0
approximately what percentage of normally distributed data values will fall within 1 standard deviation above or below the mean
68%
Which is not a property of the standard normal distribution
It's uniform
When a distribution is positively skewed, the relationship of the mean, median, and mode from left to right will be
Mode, median, mean
The standard deviation of all possible means equals
Populations standard deviation divided by square root of the sample size
When one is using the standard normal distribution P(z<0) =
5
The difference between a sample mean and a population mean is due to
sampling error
the mean of the sample means equals
the population mean
the standard deviation of all possible sample means is called the
standard errror of the mean
The normal distribution can be used to approximate the binomial distribution when n
p and n
q are both greater than or equal to
5
The correction factor for the central limit theorem
should be used when the sample size is greater than
of the size of the population.
5%