IBS addresses the most important aspect of learning, interactivity, to help instructors teach better and students learn more effectively.

Open anIBS module from the list below to learn and enjoy!     <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Mean-Median Mode   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Skewness   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Probability   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Probability Distribution   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Comparing Binomials   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Normal Distribution   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Central Limit Theorem   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Confidence Intervals   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>ANOVA   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Simple Linear Regression   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Multiple Linear Regression   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Chi-Square   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Pareto Charts   <a onClick="window.open('/olcweb/cgi/pluginpop.cgi?it=gif::::/sites/dl/free/0073401765/124727/inf_00.gif','popWin', 'width=60,height=80,resizable,scrollbars');" href="#"><img valign="absmiddle" height="16" width="16" border="0" src="/olcweb/styles/shared/linkicons/image.gif"> (0.0K)</a>Time Series

There are fourteen highly interactive online learning modules for selected topics in Business Statistics. These modules illustrate key concepts, models and relationships described in, Statistical Techniques for Business & Economics 14e by Lind, Marchal, and Wathen.

Three keywords in IBS: interactive, intelligent and automatic.

1. Interactive: when working with a learning module, students should feel like they are playing an interesting game. The module responds directly to user actions, such as click, select, drag, type, etc., and behaves accordingly. This allows students to see and experience the dynamic nature of statistics concepts. Beginning students are now able to gain a true "intuitive" understanding.

2. Intelligent: IBS is your personalized tutor, and it is always available - 24x7. When users manipulate a module, they get personalized help instructions or warning messages. Definitions and details of the model are included for reference and each module is consistent with the standard Business Statistics terminology, and with the text.

3. Automatic: IBS is built for users to learn and understand Statistics. It does not assume that users are experts in either Computer Science or Business Statistics. Anyone can explore the attractive features of IBS with just a couple of mouse clicks within a single screen.