Here are instructions on how to use various technologies for statistics (Each link opens in a new window):

TI83/84 Instructions

Section 1.3: How to choose an SRS (simple random sample)
Section 2.2: How to enter data into lists
Section 2.2: How to make a histogram
Section 2.2: How to make a stemplot
Section x.x: How to make a timeplot
Section 3.5: How to find 5–number summary, variance and standard deviation
Section 3.5: How to make a boxplot
Section x.x: How to find the residuals
Section 4.1: How to make a scatterplot
Section 4.2: How to calculate the correlation coefficient, r
Section 4.2: How to find the least squares regression line
Section 6.2: How to find number of combinations
Section 6.2: How to find binomial probability
Section 7.2: How to find area under the normal curve
Section 7.2: How to find a z-score given the area
Section 7.2: How to find and graph the area under a normal curve
Section 7.4: How to plot histogram with a normal curve
Section 9.1: How to find one sample z confidence interval (using stats)
Section 9.1: How to find one sample z confidence interval (using data)
Section 9.1: How to find margin of error
Section 9.1: How to find minimum sample size [z–statistic]
Section 9.2: How to find one sample t confidence interval (using stats)
Section 9.2: How to find one sample t confidence interval (using data)
Section 9.3: How to find one sample z confidence interval for sample proportion
Section 10.2: How to perform one sample z hypothesis test (using stats)
Section 10.2: How to perform one sample z hypothesis test (using data)
Section 10.3: How to perform one sample t test (using stats)
Section 10.3: How to perform one sample t test (using data)
Section 10.3: How to find pooled two sample t confidence interval
Section 10.4: How to perform one sample z test for sample proportion
Section 11.1: How to perform matched pairs t test (using data)
Section 11.2: How to find the 2–variable statistics
Section 11.2: How to perform pooled two sample t test
Section 11.2: How to find two sample t confidence interval (using stats)
Section 11.2: How to find two sample t confidence interval (using data)
Section 11.2: How to perform two sample t test (using stats)
Section 11.2: How to perform two sample t test (using data)
Section 11.3: How to find two sample z confidence interval for sample proportion
Section 11.3: How to perform two sample z test for sample proportion
Section 12.2: How to enter data into matrices
Section 12.2: How to perform chi–squared test
Section xx: How to find chi–squared statistic given the area
Section xx: How to perform two sample F test (using stats)
Section xx: How to perform two sample F test (using data)
Section xx: How to perform one–way ANOVA
Note: Topics labeled with xx are not covered in the syllabus; however, they are included here for completeness.

MS Excel Step–by–Step Directions

On-line Graphing Utilities

http://calculators.stat.ucla.edu/boxplot.php - You copy and paste data into this applet, graph a boxplot of any size and copy and paste this plot into another application.
http://calculators.stat.ucla.edu/multibox.php - You can copy and paste data into this applet, graph side-by-side boxplots of any size and copy and paste this plot into another application.
http://calculators.stat.ucla.edu/correlation.php - You can copy and paste x and y data into this applet, graph a scatterplot of any size and copy and paste this plot into another application.
http://www.statcrunch.com - This site requires a FREE registration. You can copy and paste data into this applet, graph the data in several ways and copy and paste the graphs into another application.
http://josesandoval.com/software/histogram - This site provides a histogram plotter that fits your data to a normal curve.
http://www.stat.uiuc.edu/courses/stat100/cuwu/datalist.html - This site provides a histogram plotter for your data - you can check normality by checking +-One SD.
http://www.shodor.org/interactivate/activities/index.html - This site provides links to very good statistics applets.
http://members.aol.com/johnp71/javastat.html - This site provides links to many statistics resources.

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