In Canada, households with internet spent an average of $410 annually for access. This distribution is non-normal: while roughly 59% of the households have high speed access, many of the remaining households have limited dial-up access and pay much less. Assume standard deviation is $138. If you ask an SRS of 600 households with internet access how much they pay, what is the probability that the average amount will exceed $420.
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!
In Canada, households with internet spent an average of $410 annually for access. This distribution is non-normal: while roughly 59% of the households have high speed access, many of the remaining households have limited dial-up access and pay much less. Assume standard deviation is $138. If you ask an SRS of 600 households with internet access how much they pay, what is the
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
