Table of Contents
The following instructions are for TI-84 Graphing Calculators. If you have questions for a different graphing calculator, please come see me or email me.
Press [Stat]
Choose [1: Edit...]
Choose a list to enter your data
Press [Stat]
Choose [1: Edit...]
Move the cursor to the top of the list where you want to delete the data (such as L1, L2, L3, ...)
Click [CLEAR] and then click [ENTER]
Let's say L1 already have data entries; you want to double all values in L1 and store the results in L2
Press [Stat]
Choose [1: Edit...]
Move the cursor to the top of the list where it shows L2
Enter expression 2*L1, then click [Enter]
In order to enter L1, you have to follow these steps:
Click [2ND] and then [STAT] (this is effectively pressing [LIST])
Choose [1: L1]
Press [Stat]
Choose [2: SortA(] if you want to sort in ascending order(from smallest to largest); Choose [3: SortD(] if you want to sort in descending order (from largest to smallest)
Enter the list you want to sort (such as SortA(L1)), then click [ENTER]
In order to enter L1, you have to follow these steps:
Click [2ND] and then [STAT] (this is effectively pressing [LIST])
Choose [1: L1]
Before you do this, you have to enter a set of data in a list beforehand.
Press [Stat]
Press [->] to move to [CALC] tab
press [1-Var Stats]
Choose the list you want to calculate
you may leave the FreqList blank
move cursor to [Calculate], then click [ENTER]
You can use the up and down arrow buttons to scroll to data that's out of viewing range
Before you do this, you have to enter a set of data in a list beforehand.
Press [2ND] and then [Y=] (this is effectively pressing [STAT PLOT]
Choose any of the Plot you want, click [ENTER]
Choose [On], click [ENTER]
Choose a type of statistical graph you want to make
Enter the rest of the rest of the parameters
After you are done, click [ZOOM]
Choose [9: ZoomStat]
You can press [TRACE] and the arrows buttons to get key statistical values from the graph.
You can press [WINDOW] to change the setting of the graph.
Please make sure to turn go back to [STAT PLOT] and turn any unused stat plot off when you are done, otherwise it will interfere with your other graphs.
Press [2ND] and then [VARS] (this is effectively pressing [DISTR]
Choose [2: normalcdf(]
Using this format normalcdf(lower, upper, mean, SD) to get area understand the curve from lower to upper.
If it is a Standard Normal Curve, use mean = 0 and SD = 1.
use extremely values to extend lower and upper to the left most and right most position.
Press [2ND] and then [VARS] (this is effectively pressing [DISTR]
Choose [3: invNorm(]
Using this format invNorm(area, mean, SD) to get the value corresponding to a given area under a normal curve.
If it is a Standard Normal Curve, use mean = 0 and SD = 1.
First you have to turn on the diagnostic mode. You only need to do this once. (you need to do it again after resetting memory).
Press [2ND] and [0] (this is effectively pressing [CATALOG])
Choose [DiagnosticOn], press [ENTER]
Press [2ND] and [MODE] (this is effectively pressing [Quit])
In the newer version, you can follow these steps instead.
Press [MODE].
Move down to STAT DIAGNOSTICS
Highlight the choice ON, press [ENTER] to select
Press [2ND] and [MODE] (this is effectively pressing [Quit])
Press [STAT]
Press [->] to move to [CALC] tab
Choose [4: LinReg(ax+b)]
Choose the lists for x and y
Press [Calculate], then [Enter]
Press [2ND] and then [Y=] (this is effectively pressing [STAT PLOT])
Choose any of the Plot you want, click [ENTER]
Choose [On], click [ENTER]
Choose the last type of plot(Normal probability plot)
Enter the rest of the rest of the parameters
After you are done, click [ZOOM]
Choose [9: ZoomStat]
If the graph is roughly a straight line, the data are approximately Normally distributed.
Press [STAT]
Press [->] to move to [CALC] tab
Choose [4: LinReg(ax+b)]
Choose the lists for x and y
If you want to graph the LSRL, follow these steps, otherwise skip these steps
Move your cursor to "Store RegEQ:"
Press [VARS]
Press [->] to move to [Y-VARS] tab
Choose [1:Function...]
Choose any of the Y variable that you want to store the LSRL expression
Press [Calculate], you will get the slope and the y-intercept of the LSRL.
Before you do this, you have to perform LinReg(ax+b) first.
Press [STAT]
Choose [1: Edit...]
Move the cursor to the top of the list (such as L1, L2, L3, ...)
Click [2ND] and then [STAT] (this is effectively pressing [LIST])
Choose [7: RESID], then press [ENTER] again
First enter any random integer
Press the [STO>] key
Press [Math]
Press [->] 3 times to to move to [PRB] tab
Choose [1: rand], then click [ENTER]
Your command should look like this 74628 → rand
You should put a random integer to replace the 74628 in the command above. Using the same seed value will generate the same random sequence values.
Before you use the random function, you have to "seed" it first, otherwise you will get the same sequence. Please see the post above about how to set a seed value for the rand function.
Press [Math]
Press [->] 3 times to to move to [PRB] tab
Choose [5: randInt(]
Enter minimum integer value and maximum integer value to generate one random integer
Syntax: randInt(min, max)
Example: let's say you want to generate a random integer between 1 and 15 (include both 1 and 15), you can enter the commend randInt(1,15).
If you wish you generate a set of many random integer from a certain range, add the amount of random integers you want to generate as the third parameter.
Syntax: randInt(min, max, amount)
Example: let's say you want to generate a set of 6 random integers between 1 and 15 (include both 1 and 15), you can enter the commend randInt(1,15,6)
Press [Stat]
Choose [1: Edit...]
Put all the possible outcomes in one list (ex. L1) and their corresponding probabilities in another list (ex. L2)
Press [Stat]
Press [->] to move to [CALC] tab
Press [1-Var Stats]
Enter List (ex. L1)
Enter FreqList (ex. L2)
move cursor to [Calculate], then click [ENTER]
You can find the Mean (Expected Value) and Standard Deviation (The symbols shown in the calculator may not be the same as the symbols you expected)
Press [Math]
Press [->] 3 times to to move to [PRB] tab
Choose Factorial (!), Permutation (nPr), or Combination (nCr) from menu
Press [Stat]
Choose [1: Edit...]
Choose a list (ex. L1) to enter all possible outcomes of a binomial random variable
Move the cursor to the top of another list (ex. L2)
Enter expression binompdf(n,p,x=L1), then click [Enter]
Click [2ND] and then [Y=] (this is effectively pressing [STAT PLOT])
Choose any of the Plot you want, click [ENTER]
Choose [On], click [ENTER]
Choose the third type of plot(Histogram)
Enter Xlist: L1 and Freq: L2
Press [WINDOW]
Enter window parameters based on your binomial probability distribution.
Press [GRAPH]
Press [2ND] and then [VARS] (this is effectively pressing [DISTR]
Choose [invT(]
Enter command using this syntax: invT(area, df)
Press [Stat]
Press [->] 2 times to to move to [Tests] tab
Choose one of the following choices
for a population proportion: Use 1-PropZInt...
for a difference of two population proportions: Use 2-PropZInt...
for a population mean or difference in means of paired data using t-distribution: Use TInterval...
for a difference of two population means: Use 2-SampTInt...
for linear regression slope coefficient β: Use LinRegTInt...
Enter parameters
Click [Calculate]
Press [Stat]
Press [->] 2 times to to move to [Tests] tab
Choose one of the following choices
for a population proportion: Use 1-PropZTest...
for a difference of two population proportions: Use 2-PropZTest...
for a population mean: T-Test...
for a difference in means of paired data using t-distribution: Use T-Test...
for a difference of two population means: Use 2-SampTTest...
for Chi-Square Goodness of Fit: Use 𝜒2 GOF-Test...
for Chi-Square Tests for Homogeneity or Independence: Use 𝜒2-Test...
for linear regression: Use LinRegTTest...
Enter parameters
Click [Calculate]
binompdf(n,p,x)
binomcdf(n,p,x)
geometpdf(p,x)
geometcdf(p,x)
normalcdf(lower,upper,mean,SD)
invNorm(area,mean,SD)
tcdf(lower,upper,df)
invT(area, df) TI84 only
𝜒2cdf(lower,upper,df)
Fcdf(lower,upper,dfNum,dfDen)