BIOL 180 QUIZ 2
What is another name for a trait that has continuous variation? -
ANSWERS-quantitative trait
In a histogram of a quantitative trait, what is plotted on the x-axis and
what is plotted on the y-axis? - ANSWERS-x: continuous variation of
the phenotype, y: number of individuals
Why is the distribution of phenotypes approximately normal when
considering quantitative traits? - ANSWERS-Many genes contribute a
small amount to the value (phenotype) of the trait.
What is a polygenic trait? - ANSWERS-A trait to which many genes
add a small amount.
The inheritance of a quantitative trait follows Mendel's principles of
segregation and independent assortment. Why is this logical? -
ANSWERS-Alleles are on chromosomes, even if multiple alleles are
associated with a particular quantitative trait.
Most human traits are... - ANSWERS-polygenic
When you are analyzing the relationship between two continuous
variables, how should you plot the data? - ANSWERS-scatterplot
, What is the difference between the independent, dependent, predictor,
outcome, response variables? - ANSWERS-in statistics, independent
and predictor variables are synonyms and dependent, outcome, and
response variables are synonyms.
In a regression analysis, what is "best" about the line of best fit? -
ANSWERS-It fits the data most accurately (minimizes a measure of
the overall distance from the line to the datapoints).
In a regression analysis, what does the slope of the line of best fit
represent? - ANSWERS-How much the y variable tends to change
with a 1-unit change in the x variable.
In a regression analysis, what does a p-value represent? - ANSWERS-
The probability, assuming the null hypothesis is correct, of seeing an
apparent relationship between x and y at least as strong as the one in
our data.
In a regression analysis, is it possible to see a low p-value even if
there is a lot of scatter in the datapoints? - ANSWERS-Yes, because
with a large enough sample, we can sometimes detect even weak
relationships.
In a regression analysis, why bother to interpret a p-value? Why not
just "eyeball it" to decide whether or not y-values depend on x-
values? - ANSWERS-Eyeballing it is subjective and potentially
biased.
What is another name for a trait that has continuous variation? -
ANSWERS-quantitative trait
In a histogram of a quantitative trait, what is plotted on the x-axis and
what is plotted on the y-axis? - ANSWERS-x: continuous variation of
the phenotype, y: number of individuals
Why is the distribution of phenotypes approximately normal when
considering quantitative traits? - ANSWERS-Many genes contribute a
small amount to the value (phenotype) of the trait.
What is a polygenic trait? - ANSWERS-A trait to which many genes
add a small amount.
The inheritance of a quantitative trait follows Mendel's principles of
segregation and independent assortment. Why is this logical? -
ANSWERS-Alleles are on chromosomes, even if multiple alleles are
associated with a particular quantitative trait.
Most human traits are... - ANSWERS-polygenic
When you are analyzing the relationship between two continuous
variables, how should you plot the data? - ANSWERS-scatterplot
, What is the difference between the independent, dependent, predictor,
outcome, response variables? - ANSWERS-in statistics, independent
and predictor variables are synonyms and dependent, outcome, and
response variables are synonyms.
In a regression analysis, what is "best" about the line of best fit? -
ANSWERS-It fits the data most accurately (minimizes a measure of
the overall distance from the line to the datapoints).
In a regression analysis, what does the slope of the line of best fit
represent? - ANSWERS-How much the y variable tends to change
with a 1-unit change in the x variable.
In a regression analysis, what does a p-value represent? - ANSWERS-
The probability, assuming the null hypothesis is correct, of seeing an
apparent relationship between x and y at least as strong as the one in
our data.
In a regression analysis, is it possible to see a low p-value even if
there is a lot of scatter in the datapoints? - ANSWERS-Yes, because
with a large enough sample, we can sometimes detect even weak
relationships.
In a regression analysis, why bother to interpret a p-value? Why not
just "eyeball it" to decide whether or not y-values depend on x-
values? - ANSWERS-Eyeballing it is subjective and potentially
biased.
