___ censoring occurs when a subject leaves the study before an event occurs.
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Neyman allocation becomes exactly ___ allocation when the standard deviations of all strata are equal.
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Ignoring f.p.c., Var(y_bar_st)Ney =
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In factorial experiment, Sign table method and Yates method give:
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In rolling two fair dice, number of all possible elements are:
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When A and B are independent then P(A and B) =
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___ distribution is also called double exponential distribution:
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Simple random sampling is suitable when population is:
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Response surface design is:
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If Z is Standard Normal Variable then its mean is zero and variance is:
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Probability of occurrence of an event can never be:
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In normal distribution beta1 = 0 and beta2 =
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The central composite design is composed of:
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Var(y_bar_st)opt ___ Var(y_bar_ran):
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If A & B are mutually exclusive events then A intersection B =
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In Poisson distribution mean = 4 then its S.D will be:
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M(t) = (1 - beta*t)^(-alpha) is moment generating function of:
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Mean Deviation of normal distribution is:
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Minimum number of factors in central composite design should be:
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Binomial probability distribution will be negatively skewed when:
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Correlation coefficient is ___ of two regression coefficients:
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Mean does not exist for ___ probability distribution:
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If f(x) = 2x, 0 < x < 1 then its F(x) will be:
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f(x) = (1/theta) * e^(-x/theta), x >= 0 is p.d.f of ___ probability distribution:
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A statistic is a numerical characteristic calculated from a:
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One of the classical assumptions to apply OLS is Cov(Ui, Uj) =
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Correlation coefficient lies between:
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If Ui is error term in simple linear regression model and Cov(Ui, Uj) != 0, there is:
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If there exists a linear relationship among regressors (x's) there is:
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If M.D = (beta - alpha)/4 then it is ___ probability distribution:
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