Indicate if the variable is discrete or continuous.
a) Total full-time employees
b) Agency name
c) The movie rating system (viz., G, PG, PG-13, etc.)
d) Health rating (0-100) for a restaurant
e) Hurricane level (1-5)
f) Ground wind speed of a hurricane
g) A final exam score for a class
h) Land use classification (such as residential, commercial, mixed use)
i) Drug treatment center name
j) Building permits filed by year
k) Property tax rate (millage)
l) Amount of lead in drinking water
m) Level of government (local, state, federal)
n) Number of visitors to a state park
o) Degree of a felony charge (1st, 2nd, 3rd)
p) Form of municipal government (commission, mayor-council, council-manager)
q) Management level (front, middle, senior)
r) Highest degree of education
s) Average training cost per employee
t) A state government’s bond rating
u) The inflation rate
v) Federal disaster area designation
In: Math
a) Find the probability of an individual being more extreme than
3.2 standard deviation from the mean.
b) Is this unusual?
Select an answer Not unusual because the probability is high
unusual because the probability is low unusual because the
probability is high not unusual because the probability is low
In: Statistics and Probability
1.
Which of the following is NOT a characteristic of the normal probability distribution?
a. The distribution is symmetrical.
b. The mean, median, and mode are equal.
c. The standard deviation must be 1.
d. The mean of the distribution can be negative, zero, or positive.
2.
For a standard normal distribution, P(Z 0) is
a. Zero
b.one D
c.0.5
d.HOS
In: Math
Which of the following is not a characteristic of the normal probability distribution?
a. symmetry
b. The total area under the curve is always equal to 1.
c. 99.72% of the time the random variable assumes a value within plus or minus 1 standard deviation of its mean
d. The mean is equal to the median, which is also equal to the mode.
In: Finance
If there is no uncertainty in society,
| it is possible for the probability of being sick to equal 20% |
| people will be willing to pay high premiums |
| the expected income when sick will always equal $100 |
| the expected income when healthy will always equal $1 million |
| the probabilities of being healthy or sick is either 100% or zero % |
Which of the following is true? With the assumption of risk-aversion and FAIR insurance, for a given probability of being sick and expected income,
| utility with no insurance > utility from partial insurance > utility from full insurance |
| utility with no insurance > utility from partial insurance = utility form full insurance |
| utility with no insurance = utility from partial insurance = utility form full insurance |
| utility with no insurance < utility from partial insurance > utility form full insurance |
| utility with no insurance < utility from partial insurance < utility from full insurance |
In 2018, Bannon's Income when sick = IS , income when healthy = IH , probability of being sick (p). The Expected Income = E(I18)
In 2019, everything is the same except income when healthy is greater than in 2018. It is equal to: IH + a
What will be the difference between E(I19) and E(I18) ?
a |
IH + a |
a x (p) |
a x (1 - p) |
a x IS |
In: Economics
The probability distribution for the returns on Grey stock is as follows:
State of Nature Probability Return
1 .45 6%
2 .35 12%
3 .20 21%
Calculate the expected rate of return.
In: Finance
<Quantum tunneling>
State and derive transmission probability
In: Physics
How is probability theory applied in fraud detection?
In: Statistics and Probability
A coin is tossed thrice. Find the probability of getting
(i) exactly two heads.
(ii) at least two tails.
In: Math
what is the probability of getting yahtzee in three rolls?
In: Statistics and Probability