Nationwide study indicated that 80% of college students with cellphone send and received text messages with cellphones. simple random sample of n=200 college students with cell phones is obtained A)describe the sampling distribution of p hat, the sample proportion of college students with cell phones who send or receive text messages with their cell phones. B)what is the probability that 172 or more college students with cell phones send and receive text messages? Is this result unusual?
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Nationwide study indicated that 80% of college students with cellphone send and received text messages with cellphones. simple random sample of n=200 college students with cell phones is obtained
A)describe the sampling distribution of p hat, the sample proportion of college students with cell phones who send or receive text messages with their cell phones.
B)what is the
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