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Statistics is a branch of applied mathematics dealing with data collection, organization, analysis, interpretation and presentation. Descriptive statistics summarize data. ... In addition to being the name of a field of study, the word "statistics" also refers to numbers that are used to describe data or relationships.
Typology: Assignments
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Question 1 : Use the table/simulation to find the following critical values:
๐~๐ก Distribution: 1 โ ๐(
๐๐
) = 0. 05 for ๐๐ = 5 , 10 , 20 , 30 , 50. How
do these compare to the 0.05 critical values of the Normal distribution?
Question 2: Suppose ๐
1
2
6
are six random variables that form a random
sample from the standard normal distribution.
Let ๐ = (๐
1
2
3
2
4
5
6
2
Find the value of ๐ such that the random variable ๐๐ will follow the chi-square
distribution
Question 3 : Suppose you are looking at treatment and control group differences to
determine the effectiveness of a computer-skills training programme on weekly
wages. The standard deviation of the weekly wages is $15 for both the treatment
and control groups. Now the average weekly wages for the control group is $
and $100+ฮด for the treatment group. If you are constrained to have 25% of your
observations in the control group and 75% observations in your treatment group,
how large does ๐ have to be in order for the probability of ๐
๐
๐ถ
0 is atleast
Note: ๐
๐
and ๐
๐ถ
are the sample averages weekly wages of the treatment and
control groups respectively and ๐ is the total number of observations in your
experiment that is split between the treatment and control groups. Also assume that
the sample averages are normally distributed.
Question 4 : A random sample of ๐ items is to be taken from a distribution with
mean ฮผ and standard deviation ๐.
a) Use the Chebyshev inequality to find out the smallest number of items ๐ that
must be taken to satisfy:
๐
โ ฮผ| โค
b) Use the central limit theorem to find out the smallest number of items ๐ that
must be taken to satisfy the above relation in a) approximately.
Question 5 : MLE and MoM estimators:
a) Give the log likelihood function of a sample of ๐ iid Poisson random
variables ๐
1
๐
and solve for the MLE estimator of the parameter ฮป.
b) Provide the MoM estimator of the parameter ฮป and compare with the MLE
estimator.
Question 6 : a) Suppose that the ransom variables ๐
1
2
๐
form a random
sample from the Bernoulli distribution with parameter ฮธ, which is unknown ( 0 โค
ฮธ โค 1 ). For all observed values ๐ฅ 1
2
๐
where each ๐ฅ
๐
is either 0 or 1, what is
the likelihood function? What is the MLE of ฮธ?
b) It is not known what proportion ๐ of the purchases of a certain brand of
breakfast cereal are made by women and what proportion is made by men. In a
random sample of 70 purchases of this cereal, it was found that 58 were made by
women and the rest by men. Find the MLE of ๐.