Forest Mensuration Exam 1 Questions and
Answers 100% Solved
What is simple linear regresssion? Used to quantify the degree of association between
two or more variables
Define Covariance measure of how two variables vary in relation to each other, little to
no association the covariance will be negative. If large values of one variable tend to be
associated with small values of another variable the covariance will be neg. If large values
associate with large values then covariance will be positive.
What does it mean to expand the mean and standard error? Estimates of means per
sample plot are multiplied by a constant to scale the estimates to a more useful basis.
Define complete enumeration when all individual units of the population are observed
What is the ultimate objective of sampling? to obtain reliable data, and to make
inferences about the population. Also it is used to obtain a specified amount of information about
a population parameter at minimum cost.
, What is Simple Random Sampling Every possible combination of sampling units has an
equal and independent chance of being selected and the selection of any given unit should be
completely independent of the selection of all other units.
What is the t value? A number found in a table that is used to construct confidence
intervals. This value is found by knowing the probability and sample size.
What are some hazards of interpretation? 1. Association vs. causation
2. extrapolation
3. unrepresentative data
What is an indicator of fit? r^2 the coefficient of determination or squared correlation
coefficient; computes the proportion of the total variation in Y that is associated with the
regression on X.
What is the effect of plot size on variability? small fixed-area sample plots usually exhibit
more relative variability than large plots. However, a uniform population exhibits little or no
effect on variance.
Answers 100% Solved
What is simple linear regresssion? Used to quantify the degree of association between
two or more variables
Define Covariance measure of how two variables vary in relation to each other, little to
no association the covariance will be negative. If large values of one variable tend to be
associated with small values of another variable the covariance will be neg. If large values
associate with large values then covariance will be positive.
What does it mean to expand the mean and standard error? Estimates of means per
sample plot are multiplied by a constant to scale the estimates to a more useful basis.
Define complete enumeration when all individual units of the population are observed
What is the ultimate objective of sampling? to obtain reliable data, and to make
inferences about the population. Also it is used to obtain a specified amount of information about
a population parameter at minimum cost.
, What is Simple Random Sampling Every possible combination of sampling units has an
equal and independent chance of being selected and the selection of any given unit should be
completely independent of the selection of all other units.
What is the t value? A number found in a table that is used to construct confidence
intervals. This value is found by knowing the probability and sample size.
What are some hazards of interpretation? 1. Association vs. causation
2. extrapolation
3. unrepresentative data
What is an indicator of fit? r^2 the coefficient of determination or squared correlation
coefficient; computes the proportion of the total variation in Y that is associated with the
regression on X.
What is the effect of plot size on variability? small fixed-area sample plots usually exhibit
more relative variability than large plots. However, a uniform population exhibits little or no
effect on variance.
