In probability and statistics, mean is used to refer to one measure of the central tendency either of a probability distribution or of the random variable characterized by that distribution.
In statistics and probability theory, the standard deviation (represented by the Greek letter sigma, σ) shows how much variation or dispersion from the average exists. A low standard deviation indicates that the data points tend to be very close to the mean (also called expected value); a high standard deviation indicates that the data points are spread out over a large range of values.
What is the mean and standard deviation of
63.7%?
What is the mean and standard deviation of
61.4%?
Using the 68-95-99.7 rule, describe the sampling distribution of 63.7%
Using the 68-95-99.7 rule, describe the sampling distribution of 61.4%?
Please help I am so lost...
4 answers
So, how would I figure out the standard deviation of 61.4?
Z score is your score in arms of standard deviations.
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (.6140) related to the Z score.
Are you assuming that the scores are equally distributed around the mean? Then you would want
± .307
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion/probability (.6140) related to the Z score.
Are you assuming that the scores are equally distributed around the mean? Then you would want
± .307
1. Find the area associated with this section of the curve: between z = -1.15 and z = -1.35.
4 answers