Statistics calculations using the TI BAII Plus calculator

[yasirtipu2000]

if there r any negetive values it gives error

[saxokobe]

can you compute a covariance on BA 2 plus?

[Crazyman4477]

very helpful, thanks :)

you made it sound alot simpler than the professor :)

[canttkeep]

you made it a lot easier than it is by just reading the tutorials, thanks! any shortcut to calculate kurtosis with this?

[jamestakeshi]

What if there are probabilities associated with the returns?? And what if its more than 2 securities? Please respond...thank you so much

[mssuprof]

If the data has probabilities, you can't use the calculator to calculate standard deviation, you have to do it by hand or use Excel. The same is true if you have more than two securities - you need to use Excel.

[mssuprof]

If the data has probabilities, you can't use the calculator to calculate standard deviation, you have to do it by hand or use Excel. The same is true if you have more than two securities - you need to use Excel.

[jamestakeshi]

What if I have 3 or more securities???

[rajanrattan]

Thanks for this - I'm trying to figure out my calculator for my CFA exam - would appreciate if you could clarify if there is a quick way to get MAD, semi variance and semi deviation on texas ba plus II

[mssuprof]

Maureen1953, LIN stands for Linear statistics - that's what is displayed when you look at the statistics calculations. LN is the base of the natural log (logarithm). You use 2nd LN (which is e to the x) when calculating continuous compounding.

[Maureen1953]

Thank you, much appreciated.

[Maureen1953]

Could you tell me the difference between using LIN and Ln in my statistics calculation? I think its to do with continuous compounding??

[suflet7iubit]

very helpful, thank you!

[ydrohoos7]

many thanks for your very helpful video

Is there any quick way to calculate the variance ?

[mssuprof]

If you are calculating the standard deviation of historical data (which is what I show in my video), the variance is easy to calculate. The variance is just the standard deviation squared (since the standard deviation is the square root of the variance), so all you have to do after you calculate the standard deviation is square it.