Bus 308 Wk Two Asssignments Essay

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Relative Frequency | | 10/3/2012 5:39:33 PM | | | The reason why we expect the probability of newborn males and females to be the same is because since these are the only two choices, we consider the ultimate outcome to be equal. We calculate a 50/50 chance of a newborn being either a male or a female because of the limited choices. Census reports show a different outcome by taking a group of people and predicting the chances of a male or female newborn being born based off of what exists in the currently existing group. For example, let's say that we have a location with approximately 20,000 people in it. If we were to conduct a study and found that out of the 20,000 people we had 15,543 males and 4,457 females this would show us that the probability of a male being born would be 77.715% and the probability of a male being born would be 22.285%. These findings show us that there is about a 3 to 1 ratio between males and females being born in this location. One thing that accounts for this variation is a males sperm count. A male may have a sperm count with more existing males than females or vice versa. Another thing that may contribute to the variation can be miscarriages and pregnancies producing twins or even triplets. Some people may even say that the findings are just a coinsidence and if another study were to take place in 10 years conducting the same study the results would be different. Another case where the expected probabilities do not quite agree with the empiracle values would be winning the lottery. Just because the chances, for example purposes, say that your chances of winning are 1 and 100,000 does not mean if you buy 100,000 tickets you are guaranteed to win. It just means that these are your chances of winning based off of statistics. | | As an Work Force Manager at a construction office for inbound calls and with the year coming to

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