sagefr0g
Well-Known Member
there is a game that has two play types, type A and type B. the types differ with respect to the minimum amounts than can be bet, otherwise they are the same game. type A having a higher bet requirement and type B having a lower bet requirement.
for any given session there are 56 potential type A plays and 133 potential type B plays, a grand total of 189 potential plays for the overall game, for a given session.
type A plays afford an average amount bet = $20.00
type B plays afford an average amount bet = $3.00
session data is collected for the number of plays of type A and type B realized.
the (overall for data collected) average amount bet for those number of plays is calculated by multiplying the number of plays (for a given play type) by the above average amount bet for the play type.
the sum of all the plays for a given session is calculated by adding the number of plays recorded for type A and type B.
the average bet per play for a given session is calculated by summing the (overall) average amount bet for each play type and dividing by the total number of plays.
see example image #1
we can calculate the average number of plays for the three sessions, by first adding together the number of plays for type A and type B for each session , session 1, 6.00 + 8.00 = 14.00, session 2, 4.00 + 6.00 = 10.00, session 3, 0.00 + 15.00 = 15.00 . then by adding the total number of plays together of each session and dividing by the total number of sessions. (14.00 + 10.00 + 15.00)/3 = 13.00 . so on average it appears (from the data) that one gets 13 plays/session.
now again from the data in image 1:
the average bet per play for a session 1 is, ($120.00 +$24.00)/14.00 = $10.29 . for session 2, ($80.00 + $18.00)/10.00 = $9.80 . for session 3, ($0.00 + $45.00)/15.00 = $3.00 .
calculating the average of the avg bet/play for the three sessions in total we come up with ($10.29 + $9.80 + $3.00)/3 = $7.70 . so on average it appears that one has an average bet [edit] per play per [end edit] session of $7.70 .
so, but it should be possible to calculate the average bet per [edit] play per [end edit] session and the average number of plays per session by another method.
consider example image # 2
one way to calculate the average bet for the three sessions of data is as follows:
first find the average of the number of plays for the three sessions of data in image 1 for the type A data. that would be avg # realized type A plays = (6.00 + 4.00 + 0.00)/3 = 3.33 . next find the average of the number of plays for the three sessions of data in image 1 for the type B data. that would be avg # realized type B plays = (8.00 + 6.00 + 15.00)/3 = 9.67 .
now we can find the actual avg bet of type A plays realized and the actual avg bet of type B plays realized. this would be done by multiplying avg # realized type A plays by the average amount bet of $20.00 that is afforded type A plays (mentioned above). and then multiplying avg # realized type B plays by the average amount bet of $3.00 that is afforded type B plays (also mentioned above).
so 3.33 * $20.00 = $66.60 actual avg bet of type A plays
and 9.67 * $3.00 = $29.01 actual avg bet of type B plays .
now we can calculate the avg bet per play by dividing the sum of the type A and type B actual avg bets by the total number of plays realized.
so ($66.60 + $29.01)/13.00 = $7.35 the average bet per play (for the data collected).
the question is which result for average bet per play is the proper one, $7.35 or $7.70 (for the data collected) ?
i tend to think the method that comes up with $7.35 is the more proper approach.
as an aside if the data collected has certain types of symmetry for the number of type A and type B plays then both methods agree.
for any given session there are 56 potential type A plays and 133 potential type B plays, a grand total of 189 potential plays for the overall game, for a given session.
type A plays afford an average amount bet = $20.00
type B plays afford an average amount bet = $3.00
session data is collected for the number of plays of type A and type B realized.
the (overall for data collected) average amount bet for those number of plays is calculated by multiplying the number of plays (for a given play type) by the above average amount bet for the play type.
the sum of all the plays for a given session is calculated by adding the number of plays recorded for type A and type B.
the average bet per play for a given session is calculated by summing the (overall) average amount bet for each play type and dividing by the total number of plays.
see example image #1
we can calculate the average number of plays for the three sessions, by first adding together the number of plays for type A and type B for each session , session 1, 6.00 + 8.00 = 14.00, session 2, 4.00 + 6.00 = 10.00, session 3, 0.00 + 15.00 = 15.00 . then by adding the total number of plays together of each session and dividing by the total number of sessions. (14.00 + 10.00 + 15.00)/3 = 13.00 . so on average it appears (from the data) that one gets 13 plays/session.
now again from the data in image 1:
the average bet per play for a session 1 is, ($120.00 +$24.00)/14.00 = $10.29 . for session 2, ($80.00 + $18.00)/10.00 = $9.80 . for session 3, ($0.00 + $45.00)/15.00 = $3.00 .
calculating the average of the avg bet/play for the three sessions in total we come up with ($10.29 + $9.80 + $3.00)/3 = $7.70 . so on average it appears that one has an average bet [edit] per play per [end edit] session of $7.70 .
so, but it should be possible to calculate the average bet per [edit] play per [end edit] session and the average number of plays per session by another method.
consider example image # 2
one way to calculate the average bet for the three sessions of data is as follows:
first find the average of the number of plays for the three sessions of data in image 1 for the type A data. that would be avg # realized type A plays = (6.00 + 4.00 + 0.00)/3 = 3.33 . next find the average of the number of plays for the three sessions of data in image 1 for the type B data. that would be avg # realized type B plays = (8.00 + 6.00 + 15.00)/3 = 9.67 .
now we can find the actual avg bet of type A plays realized and the actual avg bet of type B plays realized. this would be done by multiplying avg # realized type A plays by the average amount bet of $20.00 that is afforded type A plays (mentioned above). and then multiplying avg # realized type B plays by the average amount bet of $3.00 that is afforded type B plays (also mentioned above).
so 3.33 * $20.00 = $66.60 actual avg bet of type A plays
and 9.67 * $3.00 = $29.01 actual avg bet of type B plays .
now we can calculate the avg bet per play by dividing the sum of the type A and type B actual avg bets by the total number of plays realized.
so ($66.60 + $29.01)/13.00 = $7.35 the average bet per play (for the data collected).
the question is which result for average bet per play is the proper one, $7.35 or $7.70 (for the data collected) ?
i tend to think the method that comes up with $7.35 is the more proper approach.
as an aside if the data collected has certain types of symmetry for the number of type A and type B plays then both methods agree.
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