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1 explain the notion of kurtosis and discuss why it is of limited value when the distribution is non-symmetric2 for a
the resistance of a doped germanium crystal obeys the equationlog r 4697 - 3917 log ta in a liquid helium cryostat the
a state the properties of a density functionb contrast the properties of the expected value and variance operatorsc let
consider the discrete random variable x whose distribution is given belowa derive its mean variance skewness and
the resistance r of a particular carbon resistor obeys the equationradiclog rt a b log rwhere a -116 and b 0675a in
in the table below a number in the top row represents the pressure of a gas in the bulb of a constant-volume gas
1 explain the notions of independent events and identically distributed trials2 explain how conditioning can be used to
1 why do we care about heterogeneity and dependence in statistical models2 explain how the idea of sequential
1 explain the notion of a pseudo-random number2 explain the linear conguential method for generating uniform
explain the notion of a reference distribution in a p-p plot why does the cauchy reference distribution take different
1 explain the notion of a p-p plot and the normal p-p plot in particular2 compare and contrast a normal p-p and a
a gas contained in a cylinder by a layer of styro foam is quickly compressed the temperature rising several hundred
a combustion experiment is performed by burning a mixture of fuel and oxygen in a constant-volume container surrounded
a liquid is irregularly stirred in a well-insulated container and thereby experiences a rise in temperature if the
the amount of water in a lake may be increased by action of underground springs by inflow from a river and by rain it
when an electric current is maintained in an electrolytic cell of slightly acidic water and 1mol of water is
1 explain how an increase in correlation will affect the bivariate exponential density what does that mean for the
1 explain intuitively why an ordered random sample is neither independent nor identically distributed2 explain the
1 describe briefly the formalization of the condition c we can repeat the experiment under identical conditions in the
1 define the concept of independence for two random variables x and y in terms of the joint marginal and conditional
1 from the bivariate distributions of chapter 7 collect the regression functions which are linear and the skedastic
1 explain the notion of stochastic conditional moment functions why do we care2 explain the notion of weak exogeneity
1 explain the difference between temporal and contemporaneous dependence2 compare and contrast the statistical gms ofa
1 explain the relationship between c-mixing and a mixingale2 explain the notion of
1 explain the notion of separable heterogeneity2 discuss briefly the role of a brownian motion process in the formation