ECON 2843 Exam 2 Norwood Questions
With Correct Answers
Z-score
o The number of standard deviations a given value is away from the
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mean
Z-score formula |
Z = (x-μ)/σ; (raw score-population mean)/population standard deviation
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continuous random variable | |
characterized by uncountable values in an interval; probability that it
| | | | | | | | | |
assumes a particular value is zero
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continuous random variable examples | | |
return on a mutual fund, time to complete a task, height of a person,
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rain fall per year
| | |
, discrete random variable
| |
Assumes a countable number of distinct values
| | | | | |
discrete random variable examples
| | |
Shoe size, class size, family members
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Expected value= |
1/ λ = 1/(mu)x
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Expected value for continuous uniform distribution formula (be able to
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calculate given values) | |
E(X)=μ=(a+b)/2, where a and b are lower and upper limits of values
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Standard Deviation for continuous uniform distribution formula (be able
| | | | | | | |
to calculate given values)
| | | |
SD(X)=sqrt((b-a)^2/12)
With Correct Answers
Z-score
o The number of standard deviations a given value is away from the
| | | | | | | | | | | | |
mean
Z-score formula |
Z = (x-μ)/σ; (raw score-population mean)/population standard deviation
| | | | | | |
continuous random variable | |
characterized by uncountable values in an interval; probability that it
| | | | | | | | | |
assumes a particular value is zero
| | | | |
continuous random variable examples | | |
return on a mutual fund, time to complete a task, height of a person,
| | | | | | | | | | | | | |
rain fall per year
| | |
, discrete random variable
| |
Assumes a countable number of distinct values
| | | | | |
discrete random variable examples
| | |
Shoe size, class size, family members
| | | | |
Expected value= |
1/ λ = 1/(mu)x
| | |
Expected value for continuous uniform distribution formula (be able to
| | | | | | | | | |
calculate given values) | |
E(X)=μ=(a+b)/2, where a and b are lower and upper limits of values
| | | | | | | | | | |
Standard Deviation for continuous uniform distribution formula (be able
| | | | | | | |
to calculate given values)
| | | |
SD(X)=sqrt((b-a)^2/12)