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

- 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.

- 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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