Resetting your calculator's memory for an exam. 
 MEM
 7:Reset
 arrow right to ALL
 1:All Memory
 2:Reset
 Wait for the screen to show the "RAM cleared" message.
Reseting your calclator erases all programs and variables and resets modes to their original default values.
Depending on your batteries' strength, you might have to readjust the screen's brightness after this step. Hit 2nd and then hold the uparrow or the down arrow.

Storing numbers in lists. 
 STAT
 1:Edit
 Enter data in a list, e.g., L_{1}.
Arrow up/down to go to different elements in the list. Arrow left/right to go to different lists.
 QUIT when done.

Finding the mean, standard deviation, and variance of a discrete random variable X. (§6.1) 
 Store xvalues in a list, say L_{1}, and the corresponding probabilities P(x) in another, say L_{2}.
 STAT
 arrow right to CALC
 1: 1Var Stats
 L_{1},L_{2} ENTER
(Type L_{1} and L_{2} by hitting 2nd 1
and 2nd 2.)
 The resulting mean μ is displayed on the screen as
x.
(That's unfortunate, since x is really the symbol for the sample mean.)
The standard deviation σ is displayed as σx.
Square the standard deviation to find the variance.

Plotting a histogram of data in a list.
(§2.2) 
 Store data values in a list (say L_{1}).
 y=, delete any functions from this list, then QUIT
 STAT PLOT
 1: Plot1 ENTER
 Edit PLOT1 as follows:
turn the plot on highlight the histogram icon (that's the icon in the upper right) at Xlist: type in L_{1}
(Type L_{1} by hitting 2nd 1) at Freq: type in 1 QUIT when done
 Edit PLOT2 and PLOT3 in STAT PLOT as necesary to turn all other plots off.
 WINDOW then the following:
Set Xmin = the left endpont of the first bin.
Set Xmax = the right endpont of the graph. Xmax needn't be the right endpoint of the highest bin, but it must be greater than the largest data point.
Set Xscl = the width of each bin. Pick a nice number around (XmaxXmin)÷(desired number of bins). 8 or 10 bins usually looks nice, but you can use more for
a larger data set.
Set Ymin = 0.
Set Ymax = a number large enough to nicely display the tallest bar in the histogram, usually a
little more than the greatest frequency.
Set Yscl = 1.
Set Xres = 1.
QUIT when done
 GRAPH to display histogram
 TRACE (and arrow left/right) to observe the frequency and endponts of each bin

Finding the sample mean, sample standard deviation, and other decriptive stats for a list of xvalues. (§§2.32.5) 
 Store xvalues in a list, say L_{1}.
 STAT
 arrow right to CALC
 1: 1Var Stats
 L_{1} ENTER
 Now scroll up and down to read various descriptive stats.
The resulting sample mean is displayed on the screen as
x.
The sample standard deviation s is displayed as Sx.
Square the sample standard deviation to find the sample variance.
n is the number of data points.
minX, Q_{1}, Med, Q_{3}, maxX are the minimum, first quartile, median, third quartile, and maximum, respectively.
The range is maxX  minX. The Interquartile Range (or IQR) is Q_{3}Q_{1}.

Plotting a boxplot of data in a list.
(§2.5) 
This is very similar to plotting a histogram. If you like, you can view a boxplot and histogram simultaneousy by having two plots (e.g., Plot1 and Plot2)
turned on at the same time.
 Store data values in a list (say L_{1}).
 y=, delete any functions from this list, then QUIT
 STAT PLOT
 1: Plot1 ENTER
 Edit PLOT1 as follows:
turn the plot on highlight the boxplot icon in the lower left (the other won't show outliers, I think). at Xlist: type in L_{1}
(Type L_{1} by hitting 2nd 1)
at Freq: type in 1
at Mark: highlight any of the three.
QUIT when done
 Edit PLOT2 and PLOT3 in STAT PLOT as necesary to turn all other plots off.
 WINDOW then the following:
Set Xmin < the smallest data point and Xmax > the largest data point.
Choose Xscl to determine the spacing of hash marks along the xaxis.
Set Ymin = 0 and Ymax = anything.
Set Yscl = 1 and Xres = 1.
QUIT when done
 GRAPH to display histogram
 TRACE (and arrow left/right) to observe the min and max (excluding any outliers),
median, quartiles, and outliers (if any).

Finding a zbased confidence interval for p.
(§8.2) 
 STAT
 arrow right to TESTS
 arrow down to A: 1PropZInt, then ENTER
 Enter x = number of successes
Enter n = sample size
Enter CLevel = confidence level
Arrow down to Calculate, then ENTER

Finding a tbased confidence interval for mu.
(§8.3) 
 STAT
 arrow right to TESTS
 8: TInterval
 arrow right to Stats , then ENTER
 Enter x = the
observed sample mean
Enter Sx = the
observed sample standard deviation
Enter n = sample size
Enter CLevel = confidence level
Arrow down to Calculate, then ENTER

Performing a zbased significance test
regarding p.
(§9.2) 
 STAT
 arrow right to TESTS
 arrow down to 5: 1PropZTest, then ENTER

Enter p_{0} = the value of p in the null hyothesis
Enter x = observed number of successes.
Enter n = sample size
Choose your alternative hypothesis:
arrow to ≠p_{0} then ENTER for H_{a} : p ≠ p_{0}
arrow to > p_{0} then ENTER for H_{a} : p > p_{0}
arrow to < p_{0} then ENTER for H_{a} : p < p_{0}
Arrow down to Calculate, then ENTER
 Display includes a reminder of which H_{a} you chose,
the value of the test statistic z, the Pvalue (reported with a lowercase p, unfortunately), the observed value of "phat" and n.

Performing a tbased significance test
regarding μ.
(§9.3) 
 STAT
 arrow right to TESTS
 arrow down to 2: TTest, then ENTER
 arrow right to Stats , then ENTER

Enter μ_{0} = the value of μ in the null hyothesis
Enter x = observed sample mean.
Enter Sx = observed sample standard deviation
Enter n = sample size
Choose your alternative hypothesis:
arrow to ≠μ_{0} then ENTER for H_{a} : μ ≠ μ_{0}
arrow to > μ_{0} then ENTER for H_{a} : μ > μ_{0}
arrow to < μ_{0} then ENTER for H_{a} : μ < μ_{0}
Arrow down to Calculate, then ENTER
 Display includes a reminder of which H_{a} you chose, the value
of the test statistic t, the Pvalue (reported with a lowercase p, unfortunately), and some of the information you typed in earlier.

Finding a probability in a t"table"
(§9.3) 
 DISTR
 Either arrow down to 6:tcdf(, then ENTER
Or type 6
 Enter a lower bound for t, an upper bound for t, and the degrees
of freedom. Separate these three numbers with commas.
 Type the closeparenthesis ) then ENTER

For example, tcdf(1000,1.3, 14) returns .1072987963, which
means that the probability of observing a t between 1000 and
1.3 when there are 14 df is 10.729%. This is exactly the calculation
I would make to find the Pvalue in a onesided lowertail
significance test when the
test statistic turns out to be t=1.3
