Oops. In rechecking my numbers I noted a typo. The average or mean height
is 6' 7", not 6' 8". Thus going one SD either side yields 77.5% of the
players, two SDs yields 98.3% and three SDs still yields 99.5%.
At 07:01 AM 04/30/2000 -0400, you wrote:
>Here's an update on the NBA stats...
>
>My original data entry was based on a tallying of NBA player heights. I
>didn't enter each height as an individual data point but instead entered
>the frequency counts. I think that's why Excel gave me a different answer
>for median the first time. In any event, I went back and entered all 410
>player heights as discrete data points and the median changed
>slightly. Here are the new stats, plus the standard deviations.
>
>Average or Mean 6' 8" (Actually, 79.1878 inches)
>
>Median 6' 8"
>
>Range 5' 3" to 7' 7"
>
>Mode 6' 9"
>
>SD(S) 3.805 (SD for the 410 as a sample)
>
>SD(P) 3.801 (SD for the 410 as the entire population)
>
>Going one SD either side picks up 77% of the players; going two SDs either
>side picks up 97% and three SDs either side picks up 99%.
>
>>On 29 Apr 00, at 13:07, Fred Nickols wrote:
>>
>> > Just for the heck of it, I went to the NBA player site and obtained the
>> > height of all 410 NBA players. I put them in a spreadsheet and took at
>> > look at some basic stats:
>> >
>> > Mode 6' 9"
>> > Average Height 6' 8"
>> > Median Height 6' 7"
>> >
>> > Range 5' 3" to 7' 7"
>> >
>> > The spreadsheet can be found at
http://home.att.net/~nickols/nba.xls if
>> > anyone wants to do any additional crunching. A bar chart is included. It
>> > is skewed toward the 6' 9" side of things but you can also see the good
>> > old bell curve in there.
>>
>>Ok, actually you don't determine whether a distribution is normal
>>by looking at it you do it with numbers. So, let's assume that we
>>haven't ruled out the possibility it isn't normal.
>>
>>(here's a bonus question. Can you have a distribution with the
>>same median and mean and have it not be a normal distribution?
>>
>>Ok, if you answer that right you get to go to the next round of data
>>testing.
>>
>>Calculate the standard deviation. Then determine what percentage
>>of people in the group fall + or - one standard deviation to the
>>mean. Compare that with the characteristics of a normal
>>distribution.
>>
>>Do the same for two SD's and three SD's from the mean.
>>
>>For those of you who can't figure out what this is about, we are
>>actually going through what can be an excellent teaching tool if you
>>ever have to teach about data and normal distributions.
>>
>>If it conforms to those characteristics, we probably have a normal
>>distribution. If it doesn't, it ain't. We could also do other tests for
>>skewness.
>>
>>
>>Visit the work911.com supersite at
http://www.work911.com
>>for work related articles, or to find almost anything including
>>book reviews and suggestions, discussion lists and more.
>
>Fred Nickols
>The Distance Consulting Company
>"Assistance at A Distance"
>http://home.att.net/~nickols/distance.htm
>
nickols@worldnet.att.net
>(609) 490-0095
Fred Nickols
The Distance Consulting Company
"Assistance at A Distance"
http://home.att.net/~nickols/distance.htm
nickols@worldnet.att.net
(609) 490-0095