This is a sample of how to analyze an aspect of a marketing campaign. For this example we use a combination of T-tests, along with Hedge’s G and effect size tests to determine statistical confidence and significance. We also used linear regression and standard error analysis to determine the projected efficacy of the campaign.
We were at the aquarium and we saw a pair of siblings, a boy and a girl, run towards an exhibit. It was one of a few exhibits that only allowed one person to use it at a time. The two then had a dispute over who got there first and who would get to use the exhibit. This went on for a few seconds when Dad appeared. Dad could have asked one of them to give way to the other (enforcing a belief in biasness in either or both children), got mad at them (spoiling the day) or left them alone (not a viable solution). He did not. Instead, he interjected himself into the dispute and claimed, “No! It is MY turn!” And proceeded to playfully hog the exhibit. Dad showed me something today. 1. Using humour can defuse a situation 2. He got his children to focus on him rather than the exhibit 3. He got them to
On 22 Jun 2021, Canada’s Interprovincial Lottery Corporation awarded its largest ever Lotto Max prize pool in the amount of $140 million ($70 million for the grand prize and 70 $1 million MaxMillion prizes). It thus seems timely to have a look at the math behind lotteries. The website states that the odds of winning the Lotto Max are 1 in 33,294,800. This is correct to a point, but misleading. Let’s have a look at the rules of the Lotto Max: Players choose 7 numbers out of 50 Numbers cannot be repeated Numbers are automatically sorted into ascending order Each play buys 3 lines Each play costs $5 Seeing that players choose 7 out of 50 numbers that are non-repeating, the equation for the total number of possible combinations (this is different from permutations where the order in which the numbers appear is significant) when playing the Lotto Max is: 50! / (7! x 43!) The ! sign is a
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eXcelpunks is pleased to present the Baccarat Win-Loss Analysis! This is a system that quickly analyzes if play is suspect on a Baccarat shoe using (1)win-loss, (2)average wager, (3)time played and (4)coups per hour. Analyze the win-loss of a Baccarat shoe using: 5 levels of statistical confidence Analyze the win-loss on Banker, Player, Tie and Pair wagers Takes into consideration average wager, theoretical win, coups per hour and time of play Custom mode allows for specific gameplay input – for those players you need to pay more attention to! Get in touch with us at email@example.com!
eXcelpunks is pleased to present the Legacy Baccarat Gaming System. A stand-alone system built for Windows, the system features an
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There is something to be said about card counting in Baccarat. The immense number of permutations often makes it difficult to card count in this game without some form of assistance. The fact that different card values have different effects on probability in this game and that these effects are not always consistent, is another puzzling aspect. The following table shows the expectations of several side wagers using various permutations of card values with between 5 to 25 cards being drawn for each. This is done to show that the advantage can be obtained from card counting and that one does not need to go very far into the shoe for it. Note that a positive expectation here indicates that the player would have the advantage in the following coup on that wager. Now, some of these situations seem very specific and they are. This data is not meant to show that card counting is viable, but that it is