Given that x is a normal variable with meanµ = 48 and standard deviation a = 6.9, find the following probabilities. (Round your answers to four decimal places.) A USE SALT (a) P(x s 60) 0.9655 (b) P(x z 50) 0.3809 (c) P(50 s x S 60) 0,3464

Q: The percent of fat calories that a person consumes each day is normally distributed with a mean of…

A: GivenMean(μ)=33standard deviation(σ)=10sample size(n)=9

Q: n=2485; p=0.63 find the standard deviation, o, for the binomial distribution which has the stated…

A: From the provided information, Sample size (n) = 2485 Proportion (p) = 0.63

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!