slon Hei Assume that the duration of human pregnancies can be described by a Normal model with mean 268 days and standard deviation 13 days. a) What percentage of pregnancies should last between 271 and 283 days? b) At least how many days should the longest 10% of all pregnancies last? c) Suppose a certain obstetrician is currently providing prenatal care to 57 pregnant women. Let y represent the mean length of their pregnand According to the Central Limit Theorem, what's the distribution of this sample mean, y? Specify the model, mean, and standard deviation. d) What's the probability that the mean duration of these patients' pregnancies will be less than 257 days? a) The percentage of pregnancies that should last between 271 and 283 days is (Round to two decimal places as needed.) %.

slon Hei Assume that the duration of human pregnancies can be described by a Normal model with mean 268 days and standard deviation 13 days. a) What percentage of pregnancies should last between 271 and 283 days? b) At least how many days should the longest 10% of all pregnancies last? c) Suppose a certain obstetrician is currently providing prenatal care to 57 pregnant women. Let y represent the mean length of their pregnand According to the Central Limit Theorem, what's the distribution of this sample mean, y? Specify the model, mean, and standard deviation. d) What's the probability that the mean duration of these patients' pregnancies will be less than 257 days? a) The percentage of pregnancies that should last between 271 and 283 days is (Round to two decimal places as needed.) %.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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!

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popular standard deviation can be calculated in SPSS by .
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