Question
In: Statistics and Probability
For real applications, the normal distribution has two potential drawbacks: (1) it can be negative, and...
For real applications, the normal distribution has two potential drawbacks: (1) it can be negative, and (2) it isn’t symmetric. Choose some continuous random numeric outcomes of interest to you. Are either potential drawbacks really drawbacks for your random outcomes? If so, which is the more serious drawbacks and why
Solutions
orchestra answered 1 year agoRelated Solutions
For real applications, the normal distribution has two potential drawbacks: (1) it can be negative, and...
For real applications, the normal distribution has two potential
drawbacks: (1) it can be negative, and (2) it isn’t symmetric.
Choose some continuous random numeric outcomes of interest to you.
Are either potential drawbacks really drawbacks for your random
outcomes? If so, which is the more serious drawbacks and why?
Real life applications of Poisson distribution with explain Or The uses of Poisson distribution in real...
Real life applications of Poisson distribution with explain
Or
The uses of Poisson distribution in real life and how?
and Real life applications of Hypergeometric , binomial ,
geometric distribution with explain
Or
The uses of Hypergeometric, binomial, geometric distribution
in real life and how?
Can a system have negative potential energy? No, because a negative potential energy is unphysical. No,...
Can a system have negative potential energy? No, because a
negative potential energy is unphysical. No, because the kinetic
energy of a system must be equal to its potential energy. Yes, as
long as the total energy remains positive. Yes, as long as the
total energy remains negative. Yes, because the choice of the zero
of potential energy is arbitrary.
How can the gravitational potential energy of something be negative?
How can the gravitational potential energy of something be
negative?
Given three Real-Life Applications with examples of Binomial Distribution with respect to Engineering Field.
Given three Real-Life Applications with examples of Binomial
Distribution with respect to Engineering Field.
The concept of time value of money has numerous "real-world" applications. Some of the applications range...
The concept of time value of money has numerous "real-world"
applications. Some of the applications range from calculating the
payment for a car or mortgage to estimating what interest rate is
needed on an investment to send your child to college in 20
years.
In your discussion, respond to the following two questions:
Do you believe the concept of time value money is important in
ordinary business relationships? Explain.
How would you use a concept of time value to determine...
How the heavily the tails and skewness of distribution and the normal distribution can be measured?
How the heavily the tails and skewness of distribution and the
normal distribution can be measured?
In an examination the probability distribution of scores (X) can be approximated by normal distribution with...
In an examination the probability distribution of scores
(X) can be approximated by normal distribution with mean
64.9 and standard deviation 9.4.
Suppose one has to obtain at least 55 to pass the exam. What is
the probability that a randomly selected student passed the exam?
[Answer to 3 decimal places]
Tries 0/5
If two students are selected randomly what is the chance that
both the students failed? [Answer to 3 decimal places]
Tries 0/5
If only top 4% students...
Given three Real-Life Applications with examples of Bernoulli's Distribution with respect to Engineering Field and Give...
Given three Real-Life Applications with examples of Bernoulli's
Distribution with respect to Engineering Field and Give Graphical
Representation with example of Bernoulli's Distribution?
1. Assume that your data comes from a Normal distribution. Further assume that the distribution has...
1. Assume that your data comes from a Normal distribution.
Further assume that the distribution has pop-ulation mean μ equal
to your sample mean ̄x and population standard deviationσequal to
your samplestandard deviations. Draw the graph of the Normal
distribution described, labeling the mean and the tickmarks at
standard deviation units.
2. We were sampling from the distribution of rainfall in a
particular month. Assuming this distribution is Normal, find the
proportion of years in which rainfall in the selected...
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