WHAT IS CONVERGENCE BETWEEN COUNTRIES?
WHY DOES THE STANDARD SOLOW MODEL IMPLY CONVERGENCE?
WHAT DOES IS THE DIFFERENCE BETWEEN CONDITINSL SND INCONDITIONSL
CONVERGENCE?
Question:
Give an example of a hypergeometric random variable for which a
binomial random variable is NOT a good approximation. You must
describe each of the following:
i. the experiment
ii. a random variable X from the experiment and what X
represents
iii. the probability mass function (PMF) of X
iv. a binomial random variable that approximates X and its
parameters
v. the PMF of the binomial random variable and why it's a good
estimate of the PMF of X
C++ programming homeworkWhat does it mean to declare a variable? Give an example.What does it mean to assign a value to a variable? Give an
example.What is the different between assigning and initializing? Give
examples.
give an example of a discrete random variable X whose values are
integers and such that E(X) = infinite. Prove that E(X) = infinite
for your example. (hints: if you will be paid 2^k dollars for the
kth head when you flip a fair coin., the expected value is
infinite...) Or give other easy examples.
What does “distribution sampling” reveal to the
researcher.
Give an example of how “distribution sampling” is used in a
real-world scenario.
Write a one to two (1–2) page short paper in which you answer
the questions about distribution sampling.
What does “distribution sampling” reveal to the researcher. Give
an example of how “distribution sampling” is used in a real-world
scenario. Write a one to two (1–2) page short paper in which you
answer the questions about distribution sampling
Provide an example of a probability distribution of discrete
random variable, Y, that takes any 4 different integer values
between 1 and 20 inclusive; and present the values of Y and their
corresponding (non-zero) probabilities in a probability
distribution table.
Calculate: a) E(Y)
b) E(Y2 ) and
c) var(Y).
d) Give examples of values of ? and ? , both non-zero, for a
binomial random variable X. Use either the binomial probability
formula or the binomial probability cumulative distribution tables...
What is a probability distribution for a discrete random
variable? What does it look like?
What is probability sampling? Why are researchers encouraged to
use this type of sampling if possible in doing their research?