PHLT 301 EXAM 2 REVIEW | QUESTIONS AND
ANSWERS | WINTER 2026 | RATED 100% CORRECT.
discrete data Answer - Data with space between possible data values (ex. final
score of a football game because you cannot have a score of 7.3 to 0.5, for
example.)
One Health Answer - organization that recognizes the connection between the
health of people and the health of animals and the environment
Best place to break the chain of infection Answer - at the mode of transmission
Animal that carries Q fever Answer - goat
quantitative data Answer - numerical data
qualitative data Answer - descriptive and observable characteristics (like race,
gender, ethnicity)
continuous data Answer - Data that can take on any value in a range and has
no space between data. (ex. the average test score on the final of 93.4 because
an average could be any numeric number and have decimals.
Numeric Data Answer - same thing as quantitative data, dealing with numbers
, Nominal Data Answer - data of categories only. Data cannot be arranged in an
order or rank. (Ex. Gender, Race, Religion)
binomial data Answer - two categories for the data (ex. true/false or yes/no)
ordinal data Answer - data with categories that do have an implicit order. (Ex.
educational level, level of agreement (strongly agree, agree, disagree, etc.))
route of exposure Answer - the way in which an individual might come into
contact with a disease, such as through contact with organisms or surfaces
portal of entry Answer - the route for the infectious agent to enter a host (ex.
through the respiratory tract or breaks in the skin)
portal of exit Answer - a way for the infectious agent to escape from the
reservoir in which it has been growing to spread to another host
host susceptibility Answer - The presence or lack of susceptibility of an
individual to be infected by the infectious agent (microorganism)
inductive reasoning Answer - using specific observations to form a theory
deductive reasoning Answer - using a general theory to make claims about
specific observations
accuracy Answer - how close measurements are to the true value
Precision Answer - how close measurements are to each other
ANSWERS | WINTER 2026 | RATED 100% CORRECT.
discrete data Answer - Data with space between possible data values (ex. final
score of a football game because you cannot have a score of 7.3 to 0.5, for
example.)
One Health Answer - organization that recognizes the connection between the
health of people and the health of animals and the environment
Best place to break the chain of infection Answer - at the mode of transmission
Animal that carries Q fever Answer - goat
quantitative data Answer - numerical data
qualitative data Answer - descriptive and observable characteristics (like race,
gender, ethnicity)
continuous data Answer - Data that can take on any value in a range and has
no space between data. (ex. the average test score on the final of 93.4 because
an average could be any numeric number and have decimals.
Numeric Data Answer - same thing as quantitative data, dealing with numbers
, Nominal Data Answer - data of categories only. Data cannot be arranged in an
order or rank. (Ex. Gender, Race, Religion)
binomial data Answer - two categories for the data (ex. true/false or yes/no)
ordinal data Answer - data with categories that do have an implicit order. (Ex.
educational level, level of agreement (strongly agree, agree, disagree, etc.))
route of exposure Answer - the way in which an individual might come into
contact with a disease, such as through contact with organisms or surfaces
portal of entry Answer - the route for the infectious agent to enter a host (ex.
through the respiratory tract or breaks in the skin)
portal of exit Answer - a way for the infectious agent to escape from the
reservoir in which it has been growing to spread to another host
host susceptibility Answer - The presence or lack of susceptibility of an
individual to be infected by the infectious agent (microorganism)
inductive reasoning Answer - using specific observations to form a theory
deductive reasoning Answer - using a general theory to make claims about
specific observations
accuracy Answer - how close measurements are to the true value
Precision Answer - how close measurements are to each other
