For showing a relationship between pulse rate of left arm and pulse rate of right arm of sixty year old people. which graph would prove to be most useful? a) Scatterplot b) stemplot c) histogram d) dotplot e) pie chart Which is not a requirement for binomial distribution? a) the probability of success remains same in all trials b) the trials must be independent c) the procedure has a fixed number of trials d) all listed are the required criteria e) each trial must have a minimum of two categories How can you define Range rule of thumb? a) the range between my two thumbs b) the range from mean plus/minus one standard deviation c) the range from mean plus/ minus two standard deviation d) the range that can be defined betwee two thumbs of anyone e) the range between maximum and minimum values

For showing a relationship between pulse rate of left arm and pulse rate of right arm of sixty year old people. which graph would prove to be most useful? a) Scatterplot b) stemplot c) histogram d) dotplot e) pie chart Which is not a requirement for binomial distribution? a) the probability of success remains same in all trials b) the trials must be independent c) the procedure has a fixed number of trials d) all listed are the required criteria e) each trial must have a minimum of two categories How can you define Range rule of thumb? a) the range between my two thumbs b) the range from mean plus/minus one standard deviation c) the range from mean plus/ minus two standard deviation d) the range that can be defined betwee two thumbs of anyone e) the range between maximum and minimum values

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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Concept explainers

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!

Question

For showing a relationship between pulse rate of left arm and pulse rate of right arm of sixty year
old people. which graph would prove to be most useful?
a) Scatterplot
b) stemplot
c) histogram
d) dotplot
e) pie chart
Which is not a requirement for binomial distribution?
a) the probability of success remains same in all trials
b) the trials must be independent
c) the procedure has a fixed number of trials
d) all listed are the required criteria
e) each trial must have a minimum of two categories
How can you define Range rule of thumb?
a) the range between my two thumbs
b) the range from mean plus/minus one standard deviation
c) the range from mean plus/ minus two standard deviation
d) the range that can be defined betwee two thumbs of anyone
e) the range between maximum and minimum values

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