Download free 90-day trial versions of the most popular TI software and handheld emulators.
Check out TI Rover activities that put math, science and coding in motion.
Customize your summit experience with sessions on math, STEM, coding and more.
Students compare the Chi-Square distribution to the standard normal distribution and determine how the Chi-Square distribution changes as they increase the degrees of freedom.
In Problem 1, students will explore the characteristics of the Chi-Square Distribution. They will increase the degree of freedom to investigate the effect on the graph. As the degrees of freedom increase the distribution becomes less skewed and more symmetric.
Problem 2 gives students the opportunity to explore the critical values for a Chi-Square Distribution. They find the area between the critical values by selecting the Integral tool and then selecting the left and right critical points.
In Problem 3, students construct a confidence interval. They find the standard deviation of the sample. Students are to determine if the weights given in the problem are consistent, that is, the differences are acceptable.
© Copyright 1995-2019 Texas Instruments Incorporated. All rights reserved.