Statistics
Questions and Answers
Q1 H0 : μ = μ0 represents one of the following: Answer
(A) Composite Hypothesis
(B) Alternate Hypothesis
(C) Direct Hypothesis
(D) Simple Hypothesis
Q2 The auto covariance is: Answer
(A) Linear dependence between two points on different series observed
at same time
(B) Linear dependence between multiple points on the different series
observed at different times
(C) Linear dependence between two points on the same series observed
at different times
(D) Quadratic dependence between two points on the same series
observed at different times
Q3 The least squares method tends to find the best fit line where the error Answer
between measured and estimated points is:
(A) minimize or maximize
(B) maximize
(C) approaches to infinity
(D) minimize
Q4 ANOVA does not have this assumption but ANCOVA has Answer
(A) Homoscedasticity
(B) Homogeneity of regression slopes
(C) Homogeneity of sample size
(D) Homogeneity of variance
Q5 If the value of a series at any time (t) is a function of its values at some Answer
previous time intervals, this time series is known as:
(A) Harmonic series
(B) Autoregressive series
(C) Fourier Series
(D) All the above
Q6 μ and σ are the mean and standard deviation of a process, then what is Answer
μ±σ
(A) specified control limits
(B) natural control limits
(C) unspecified control limits
(D) modified control limits
1
Questions and Answers
Q1 H0 : μ = μ0 represents one of the following: Answer
(A) Composite Hypothesis
(B) Alternate Hypothesis
(C) Direct Hypothesis
(D) Simple Hypothesis
Q2 The auto covariance is: Answer
(A) Linear dependence between two points on different series observed
at same time
(B) Linear dependence between multiple points on the different series
observed at different times
(C) Linear dependence between two points on the same series observed
at different times
(D) Quadratic dependence between two points on the same series
observed at different times
Q3 The least squares method tends to find the best fit line where the error Answer
between measured and estimated points is:
(A) minimize or maximize
(B) maximize
(C) approaches to infinity
(D) minimize
Q4 ANOVA does not have this assumption but ANCOVA has Answer
(A) Homoscedasticity
(B) Homogeneity of regression slopes
(C) Homogeneity of sample size
(D) Homogeneity of variance
Q5 If the value of a series at any time (t) is a function of its values at some Answer
previous time intervals, this time series is known as:
(A) Harmonic series
(B) Autoregressive series
(C) Fourier Series
(D) All the above
Q6 μ and σ are the mean and standard deviation of a process, then what is Answer
μ±σ
(A) specified control limits
(B) natural control limits
(C) unspecified control limits
(D) modified control limits
1