Part A shows you how to enter your data and calculate some statistical values. Keep in mind that the variance is the square of the standard deviation.
You can safely ignore the PART about REGRESSIONs until that time you need the information.
PART A
In the main menu select [STAT] icon to enter Stat mode and display the
statistical data lists. Use the
satistical data lists to input data and
perform statistical calculations. Use the arrows to move the
highlighting around the lists.
Exemple: Enter the following values in List 1
1st line enter 90 [EXE]
2nd line 85 [EXE]
3 79 [EXE]
4 75 [EXE]
5 70 [EXE]
6 68 [EXE]
7 56 [EXE]
When finished you press [F2:Calc], then [F1:1Var] and the statistical
results appear on screen.
Title of screen : 1-Variable
x bar =74.7142857
Capital Sigma x= 523
Capita Sigma X squared = 39851
x lower case sigma n = 10.5249945
x lower case sigma n-1= 11.3682934
n = 7
Scroll down with Down arrow to access other data
minX =56
Q1=68
Med =75
Q3=85
Xbar -x lower case sigma n =64.1892911
x bar + x lower case sigma n = 85.2392802
maxX=90
Mod=90
All you have to do now, is to look at the theory you learned and
interpret what these values mean.
PART B
-
Once you enter your data [MENU][STAT],
- press [F1:Graph],
- select Gph1,
Gph2, or Gph3.
- Once the graph of the experimental data is drawn, you
will have access to the diverse regression models.
- Your choices are
- [X:Linear]
- [Med-Med],
- [Quadratic :X^2]
- [Cubic;X^3]
- [Quartic: X^2].
- Press [F6] to scroll right to access the others:
- [Logarithmic:LOG],
- [Exponential :EXP],
- [Power :Pwr] and
- [Sinusoidal:Sin]
-
After you select a model and press [EXE], the screen displays the
equation and its various coefficients.
- On that same screen, you have a
menu option [F6:Draw].
- If you select it, the regression curve will be
drawn on the same screen as your statistical graph.
- This allows you to
judge if the fit is good. If it is not, you have the option to choose
another model.
-
The other option [F5:Copy] allows you to save the regression equation in
the Y1, Y2, etc. variables.
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