A population of values has a normal distribution with μ=176.1μ=176.1 and σ=21.1σ=21.1. You intend to draw a random sample of size n=64n=64. Find the probability that a sample of size n=64n=64 is randomly selected with a mean between 176.4 and 180.8. P(176.4 < M < 180.8) =  Enter your answers as numbers accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to 3 decimal places are accepted.

Q: A population of values has a normal distribution with μ=216.6 and σ=71.4. You intend to draw a…

A:

Q: Assume that adults have IQ scores that are normally distributed with a mean of u= 100 and a standard…

A: The standard normal variable Z is defined as, Z = (X – µ)/σ, where µ is the mean of the random…

Q: Assume the sample variances to be continuous measurements. Find the probability that a random sample…

A:

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!