Quantitative Methods: Final Review question
with answers
Statistics: Statistical Significance - -*Method of analysis
*Specific numbers that summarize a population or sample
-Central Limit Theorem: Statistical Significance - -Allows us to use means and
standard deviations for descriptive and inference statistics on non-normal data.
-Central Limit Theorem: Definition - -As the sample size increases the distribution of
sample means will approach a normal distribution
-ANOVA: Statistical Significance - -Allows you to compare the means of three or
more groups
-ANOVA: Definition - -stands for "Analysis of Variance"
-Expected Frequency: Statistical Significance - -Allows us to determine the
likelihood our observed frequency occurring randomly
-Expected Frequency: Definition - -counts calculated using probability theory.
-Box Plot: Statistical Significance - -Allows for a visual representation of quantitative
data
-Box Plot: Definition - -displays the distribution of data based on the five-number
summary: minimum, first quartile, median, third quartile, and maximum.
-Contingency Table: Statistical Significance - -Used in chi square analysis to
determine the relationship between two categorical variables
-Contingency Table: Definition - -a table in which frequencies correspond to two
variables. (One variable is used to categorize rows, and a second variable is used to
categorize columns.)
-Coefficient of Determination: Statistical Significance - -Measure of the explained
variance of the regression line
-Coefficient of Determination: Definition - -r2; the square of the sample correlation
coefficient
-Hypothesis: Statistical Significance - -Allows us to test whether or not our results
were likely or unlikely to have occurred randomly
-Hypothesis: Definition - -a statement about a characteristic of the population or
parameter
with answers
Statistics: Statistical Significance - -*Method of analysis
*Specific numbers that summarize a population or sample
-Central Limit Theorem: Statistical Significance - -Allows us to use means and
standard deviations for descriptive and inference statistics on non-normal data.
-Central Limit Theorem: Definition - -As the sample size increases the distribution of
sample means will approach a normal distribution
-ANOVA: Statistical Significance - -Allows you to compare the means of three or
more groups
-ANOVA: Definition - -stands for "Analysis of Variance"
-Expected Frequency: Statistical Significance - -Allows us to determine the
likelihood our observed frequency occurring randomly
-Expected Frequency: Definition - -counts calculated using probability theory.
-Box Plot: Statistical Significance - -Allows for a visual representation of quantitative
data
-Box Plot: Definition - -displays the distribution of data based on the five-number
summary: minimum, first quartile, median, third quartile, and maximum.
-Contingency Table: Statistical Significance - -Used in chi square analysis to
determine the relationship between two categorical variables
-Contingency Table: Definition - -a table in which frequencies correspond to two
variables. (One variable is used to categorize rows, and a second variable is used to
categorize columns.)
-Coefficient of Determination: Statistical Significance - -Measure of the explained
variance of the regression line
-Coefficient of Determination: Definition - -r2; the square of the sample correlation
coefficient
-Hypothesis: Statistical Significance - -Allows us to test whether or not our results
were likely or unlikely to have occurred randomly
-Hypothesis: Definition - -a statement about a characteristic of the population or
parameter
