Step by Step TiNspire Apps – Blog

Step by Step TiNspire Apps – Blog

Solve Math & Science problems using the TiNspire CX

Posts filed under statistics

Lower & Upper Inner (Outer) Fence , IQR , 5 Number Summary (Tinspire CX)

If your Stats teacher is asking you to compute things such as: Lower & Upper Inner (Outer) Fence IQR 5 Number Summary and you have a Tinspire CX CAS then head over to Statistics Made Easy which actually makes Statistics a lot easier: Finding Mean, Median, Mode, Standard Deviation, Variance, Fences, IQR, Statistical Tests, Distributions,… (read more)

Correlation Coefficient and Coefficient of Determination using the TiNSpire – Step by Step

Using Statistics Made Easy at and menu item Linear Regression you just type in the given x and y values. Next the linear regression is computed for you along with the  Correlation Coefficient and the Coefficient of Determination. That simple.  

Mean, Mode, Median, Standard Deviation of LARGE data sets using the TiNspire CX

Say you have 10 thirteens, 10 twos and 500 threes and need to find Mean, Mode, Median, Standard Deviation, Variance etc. To avoid looooots of typing you can now enter such LARGE data using the TiNspire’s Statistics Made Easy app at Enter data as simple as : [10,10,500]   and [13,2,3] Voila! That simple! We… (read more)

Confidence Interval for Proportions using the exact Bliss Method on the TiNspire

When finding Confidence Intervals for Proportions we typically involve the Normal Distribution to create an confidence Interval estimate. However, this method requires the conditions np<5 and n(1-p)<5 to be fulfilled. It is not uncommon to have a large sample size n available which likely disables this method. This is where the Bliss Method comes in… (read more)

Step by Step Statistics on the Ti-Nspire : Central Limit Theorem using Statistics Made Easy

The Central Limit Theorem is fundamental in Statistics and allows drawing conclusions about the sample distribution. Now, using Statistics Made Easy on your TI-Nspire CX , the Central Limit Theorem can be applied easily. Just enter the populations mean and standard deviation and the sample size and the Sample Distribution’s Mean and Standard Deviation are… (read more)