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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.