A distribution table would be primarily used in the field of statistics and probability. Collecting and interpreting data is much easier when compiled in this format.
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standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
Yes, if you mean normal with a mean other than 0 and/or standard error other than 1. If m is the mean and s the standard error, then transform the original data, y, using: z = (y - m)/s z will have the N(0,1) distribution!!!!!!!
The frequency distribution table lists all the possible events and how many times (frequency) they occurred.
The cumulative probability up to the mean plus 1 standard deviation for a Normal distribution - not any distribution - is 84%. The reference is any table (or on-line version) of z-scores for the standard normal distribution.
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