Download Finding Statistics for Quantitative Data Using the TI-83 or TI

Finding Statistics for Quantitative Data Using the TI-83 or TI-83 Plus Calculator
First you must input the data set. This is a skill which you will have to use a lot this
semester.
Press the … key. You will see the following:
You must choose to Edit. You can do this by pressing À or Í.
Then you should see something like this
You may have some data in your lists. If you have data in a list and you wish to clear it,
press the up arrow until you are over the name of the list (L1 for instance) then press
‘Í. This would clear out the data in the selected list.
Now type in your data values. You can put them in any list, but I usually just use list L1.
I am going to type in the 25 values which we used in our class example. These were
20
22
21
25
26
26
42
20
39
19
19
33
21
38
21
41
23
21
23
20
19
32
44
24
36
I type them in one at a time pressing Í after each.
Note: You can type data in any order. You can then go back to the EDIT menu and
choose options 2: SORTA( or 3: SORTD(. These options will sort the data in ascending
or descending order. You would have to specify a list if you use one other than L1. To
specify a list you would simply type in the name of the list after the open parenthesis. The
list names can be found above the number keys 1-6.
Once you have input the data, you are now ready to ask the calculator to find some
inportant statistics. Press … . Then press the right arrow ~ to highlight the CALC
menu. You should see this
The command you want is 1-Var Stats. It is the first command on the list. You can either
press Í or press À. You will see
The calculator is asking you to supply the name of the list where your data is stored. Our
data is in list L1, so we press y À. We then see
Now press Í and your statistics will appear. This time we get
and if we arrow down we get
Here is what we have
x = the mean of our data. Apparently the mean age was 27
Σx = sum of all data values. (Not useful to us)
Σx2 = sum of all squared data values (Again, not useful to us)
Sx = sample standard deviation (Very useful to us!)
σx = population standard deviation (Not usually what we want)
n = sample size
minX = smallest data value in the set
Q1 = first or lower quartile
Med = median of data
Q3 = third or upper quartile
MaxX = largest data value in the set.