# Decision Analysis 3: Decision Trees

This brief video explains

*the components of the decision tree

*how to construct a decision tree

*how to solve (fold back) a decision tree.

Other videos:

Decision Analysis 1: Maximax, Maximin, Minimax Regret

Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret

Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz)

Decision Analysis 2: EMV & EVPI – Expected Value & Perfect Information

Decision Analysis 4: EVSI – Expected Value of Sample Information

Decision Analysis 5: Posterior Probability Calculations

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It's short and clear, and mostly understandable, thanks sir, it's helpful

Thank you very Much Joshua..!!

Thank you

Thanks for being a life saver … I am so lost in class but you make it easy to understand

Excellent

very clearly explained thank you

is decision tree connected with question before like maximin, equally likely..? or just direct draw from table given?

Very methodological, clear Englsh for non-native speakers, academically organized and very understandable, thanks fro making this great video

helpfull Man !

Clear and concise explanation.Very helpful and much appreciated. Thanks for sharing.

Straight to the point. Thanks man!

Thank you so much……Superb !!!!

TriHard

Awesome video and explanation man!!! Thanks for your help 😀

are u a professor in an university or something? If not, they need to hire you soon if not now.

Wow you're the best. May the Lord greatly bless you

damn nagger

…my literal words after your video ended "thanks for explaining!"

Thank you man

Thanks sir

Best explanation thus far in 3 minutes. I'm impressed; great example!!!

How to calculate probabilities ?

if i'm the decision maker i will opt to choose bond instead of stock. doesn't matter it is growing or declining you will still get 20 compare to stocks. If the end value of stock is bigger than bonds by higher margin instead of 0.2 i may choose stocks.

Hi Joshua, is it possible to have 3 branches (to represent the following decision alternatives namely D1, D2 and D3) coming out of the decision node, but with decision alternative D3 being split into D3a (work with company ABC: 40%) and D3b (work with company XYZ: 60%) via chance node? Each of the decision alternatives: D1, D2, D3a and D3b will also have chance node (high sales: 20% and low sales: 80%) Is that too many chance node? Or should D3 be a decision node instead of a chance node? I hope this is not too confusing. Thanks!

Thank you for simplifying this 🙂

Superb explanation of this large concept in only 3 MIn. Thanks for it.

Couldn't understand my professor explaining this to me in 3 hours.. but I understood you in 3 minutes awesome thank you !!!!

you're awesome!!

Excellent thank you

You explain in three minutes completely, what takes 45 minutes to an hour to learn in part

cool!!!

nice voice and tech。

yes you helped me just in time have a quiz in a hour… subscribe hopefully your channel has all the materials my class will cover.. excellent job in explaining 🙂

Be my professor please

EXCELLENT!!!