MAGIC SQUARE: Calculate A-B*C
[1783] MAGIC SQUARE: Calculate A-B*C - The aim is to place the some numbers from the list (4, 5, 7, 20, 21, 22, 24, 34, 69, 70, 72) into the empty squares and squares marked with A, B an C. Sum of each row and column should be equal. All the numbers of the magic square must be different. Find values for A, B, and C. Solution is A-B*C. - #brainteasers #math #magicsquare - Correct Answers: 44 - The first user who solved this task is Sanja Šabović
BRAIN TEASERS
enter your answer and press button OK

MAGIC SQUARE: Calculate A-B*C

The aim is to place the some numbers from the list (4, 5, 7, 20, 21, 22, 24, 34, 69, 70, 72) into the empty squares and squares marked with A, B an C. Sum of each row and column should be equal. All the numbers of the magic square must be different. Find values for A, B, and C. Solution is A-B*C.
Correct answers: 44
The first user who solved this task is Sanja Šabović.
#brainteasers #math #magicsquare
Register with your Google Account and start collecting points.
Check your ranking on list.

I was at my bank today waiting...

I was at my bank today waiting in a short line. There was just one lady in front of me, an Asian lady, who was trying to exchange yen for dollars. It was obvious she was a little irritated. She asked the teller, "Why it change? Yesterday, I get two hunat dolla of yen. Today I only get hunat eighty? Why it change?" The teller shrugged his shoulders and said, "Fluctuations." The Asian lady says, "Fluc you white people too!"
Jokes of the day - Daily updated jokes. New jokes every day.
Follow Brain Teasers on social networks

Brain Teasers

puzzles, riddles, mathematical problems, mastermind, cinemania...

Andrey Andreyevich Markov

Died 20 Jul 1922 at age 66 (born 14 Jun 1856).Russian mathematician who helped to develop the theory of stochastic processes, especially those called Markov chains, sequences of random variables in which the future variable is determined by the present variable but is independent of the way in which the present state arose from its predecessors. (For example, the probability of winning at the game of Monopoly can be determined using Markov chains.) His work based on the study of the probability of mutually dependent events has been developed and widely applied to the biological and social sciences.
This site uses cookies to store information on your computer. Some are essential to help the site properly. Others give us insight into how the site is used and help us to optimize the user experience. See our privacy policy.