ACTUAL Exam Questions and CORRECT
Answers
Define Bias - CORRECT ANSWER - A systematic distortion arising from such sources as
a flaw in measurement such as a compass set with the wrong declination and a broken relascope.
Define accuracy - CORRECT ANSWER - How close the estimate is to the true value of
the quantity
Define precision - CORRECT ANSWER - refers to the clustering of sample values about
the sample mean
Define population - CORRECT ANSWER - The aggregate of sample units
Parameters - CORRECT ANSWER - constants that describe the population as a whole
finite population - CORRECT ANSWER - total number of sample units and can be
expressed as a finite number
infinite population - CORRECT ANSWER - a population that is not finite
What are important tools for analyzing and interpreting forestry data? - CORRECT
ANSWER - Measures of central tendency or location and measures of dispersion or
scatter, as well as measures of association between variables, are important tools for analyzing
and interpreting forestry data.
Define frequency distributions - CORRECT ANSWER - the relative frequency with which
different values of a variable occur in a population
, True or False
The means of large samples from any distribution are expected to have a distribution that
approaches normality. - CORRECT ANSWER - True
What are examples of measures of central tendency? - CORRECT ANSWER - Mean,
median and mode
Define Range - CORRECT ANSWER - the difference between the largest and smallest
observation
Variance and standard deviation are measures of what? - CORRECT ANSWER - measures
of dispersion of individual observations about their arithmetic mean.
Define standard error of the mean - CORRECT ANSWER - measure of the variation
among sample means
Define confidence limits - CORRECT ANSWER - makes an estimate more meaningful,
confidence limits can be computed to establish an interval which at some specified probability
level, would be expected to include the true mean.
The mean plus or minus the standard error times the t-value.
What is simple linear regresssion? - CORRECT ANSWER - Used to quantify the degree
of association between two or more variables
Define Covariance - CORRECT ANSWER - 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? - CORRECT ANSWER -
Estimates of means per sample plot are multiplied by a constant to scale the estimates to a more
useful basis.