Where is stat plot on ti 84

In other words, a larger r indicates a ND , and a smaller r indicates a non- ND. You can draw one of two conclusions:. Remember or you will learn later that inferential statistics procedures like t tests are robust , meaning that they still work even if the data are moderately non-normal.

But if your data were extremely non-normal, r would be less than the critical value. The normal probability plot is just one of many possible ways to determine whether a data set fits the normal model. Converted HTML 4. Site Map Home Page Contact. Summary: In inferential statistics, you need to know whether small data sets are normally distributed. The main tool for this is a normal probability plot. The closer the data set is to normal, the closer that plot will be to a straight line.

On a TI , you have to do the plot and the computations yourself. See the step-by-step procedure in Normality Check on TI Step 2: Clear other plots. Step 3: Set up the normal probability plot. Step 4: Display the normal probability plot. Because this article helps you, please click to donate! Because this article helps you, please donate at BrownMath. In the same paper, they gave formulas for critical values at other significance levels: 1. Enter the data values. If any are enabled highlighted , disable them.

There are ten equations. The bottom part of the screen may change when you do this. The calculator responds Done. For this example there are 10 data points. Get the normal probabilities into L3. The normal probabilities are the probabilities of getting each data point or a lower one by random selection, if the data points are normally distributed. Enter the number of data points and then finish with.

Find z-scores that correspond to those probabilities. This is the correlation coefficient of the points in the normal probability plot , and it tells you how close those points lie to a straight line. Now enter the values for x the predictor into L1 and the values for y the response into L2. Just type the number and press enter to go to the next space.

Press the right arrow to go over to L2. If you want to see which points are which, you can press [TRACE] and use the arrows to jump from point to point. Believe it or not, the most common cause of this is having your calculator in your backpack and having it accidentally type all kinds of stuff in the y-list.

I see it every semester! Make sure to scroll through the whole list! Also, the only plot highlighted at the top should be PLOT1. The others should not be highlighted. This is a dimension error. It means that the number of values in L1 is different than the number of values in L2. Go back and find which number you left out! This is an easy fix.