*Please enter 3 lines between the last entry and put in your username using heading 3 then type in your notes.*

riosjosh

As your N increases your numbers will become more normally distributed.

Relative frequency is the same as percent.

Standard Deviation is the standard distance each number is away from the mean.

In a perfectly normally distributed piece of data your mean, median, and mode will be the same.

Standard deviations are not comparable in between difference sets of data. Standard deviations specific to each set of data.

The number you calculate is the number that you add to the mean to achieve the percentages. So if your mean is 7 and your standard deviation is 2 then 68% of your data lies between 5 and 9, which is ±1 standard deviation. And 95% of your data lies between 3 and 11. Lastly 99.7% of your data is between 1 and 13.

## COMM3710 - Fall 2011 - Section 001 - Lecture Notes - 09/15

*Please enter 3 lines between the last entry and put in your username using heading 3 then type in your notes.*## riosjosh

As your N increases your numbers will become more normally distributed.Relative frequency is the same as percent.

Standard Deviation is the standard distance each number is away from the mean.

In a perfectly normally distributed piece of data your mean, median, and mode will be the same.

Standard deviations are not comparable in between difference sets of data. Standard deviations specific to each set of data.

The number you calculate is the number that you add to the mean to achieve the percentages. So if your mean is 7 and your standard deviation is 2 then 68% of your data lies between 5 and 9, which is ±1 standard deviation. And 95% of your data lies between 3 and 11. Lastly 99.7% of your data is between 1 and 13.