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Mathematics 17 Online
OpenStudy (anonymous):

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OpenStudy (amistre64):

Communications According to a national survey, 16% of U.S adults use the internet to make telephone calls. In a random survey of 100 adults, what is the probability that at most 20 of them use the internet to make telephone calls? this is either a binomial distribution or a poisson distribution. my bet is binomial

OpenStudy (amistre64):

do you have a ti83? or do you want to count these by hand? its the sum of 20 terms

OpenStudy (amistre64):

is exactness required or can we approximate it with a normal distribution?

OpenStudy (amistre64):

what is the mean of a binomial distribution? do you recall?

OpenStudy (amistre64):

that doesnt look familiar to me (.16 + .84) ^ 100 = 1, which is the binomial distribution for this the first 20 terms of the expansion would determine the probability 100/0 (.16)^0 (.84)^100 + 100/1 (.16)^1 (.84)^99 + 100/2 (.16)^2 (.84)^98 + 100/3 (.16)^3 (.84)^97 ..... + 100/20 (.16)^20 (.84)^80

OpenStudy (amistre64):

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OpenStudy (amistre64):

the sum of a distribution has a probability of 1, right?

OpenStudy (amistre64):

we have .16 given, .16+q = 1 what is q?

OpenStudy (amistre64):

no .16 + q = 1 q = 1 - .16 = .84

OpenStudy (amistre64):

the binomial distribution can be formualted as: (1)^100 = 1 (.16 + .84)^100 = 1 we agree so far?

OpenStudy (amistre64):

now we dont want the whole thing, we just want part of it: 0 to 20, out of 100, to be exact

OpenStudy (amistre64):

at most 20 means: 0, or1, or2, or3, or ... or20 and no more

OpenStudy (amistre64):

correct now, the binomial distribution can be approximated if you dont feel like adding up all 20 terms

OpenStudy (amistre64):

do you recall something like this? \[z_n=\frac{x-\mu}{\sigma}\]

OpenStudy (amistre64):

no, but we are about to fill it in :) if 16% is considered average, then what is the average (the mean) out of 100 people?

OpenStudy (amistre64):

umm, no 16% of 100 is 16

OpenStudy (amistre64):

mean is stated in the problem: 16% of yada yada .... 16% of 100 is just 16 the variance of a binomial distibuion is npq: npq = 100(.16)(.84) \[\sigma=\sqrt{npq}=sqrt(100(.16)(.84))\] one more thing to adjust and that is the value of x

OpenStudy (amistre64):

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