PHLT 301 EXAM REVIEW QUESTIONS
WITH 100% CORRECT ANSWERS!!
3 types of data
graphical, statistical, empirical
how do we know its a public health issue?
-environmental quality, injury
-sanitation, access to healthcare
-health equity, vaccination
inductive reasoning
observation, pattern, hypothesis, theory
deductive reasoning
theory, hypothesis, pattern, observation, confirmation
qualitative data
descriptive data, observable characteristics
examples of qualitative
gender, race, education level
quantitative data
numerical data, measures or count
examples of quantitative data
age, income, DOB
categorical data
binomial, nominal, and ordinal data
binomial data
, true/ false, yes/no
nominal data
eye color or city name
ordinal data
data is ranked somehow. education level, lvl of agreement
numeric data
discrete and continuous
discrete data
specific whole number values ex) number of students, number of attendees
continuous data
value within a range, not always a whole number ex) grades, weight, height
accuracy
how close a measurement is to the true value
precision
a measure of how close a series of measurements are to one another
reliability
repeatable and reproducable
repeatable result
the same outcome by the same operator multiple times
reproducable result
the same outcome with different operators multiple times
why do we care about data in public health?
WITH 100% CORRECT ANSWERS!!
3 types of data
graphical, statistical, empirical
how do we know its a public health issue?
-environmental quality, injury
-sanitation, access to healthcare
-health equity, vaccination
inductive reasoning
observation, pattern, hypothesis, theory
deductive reasoning
theory, hypothesis, pattern, observation, confirmation
qualitative data
descriptive data, observable characteristics
examples of qualitative
gender, race, education level
quantitative data
numerical data, measures or count
examples of quantitative data
age, income, DOB
categorical data
binomial, nominal, and ordinal data
binomial data
, true/ false, yes/no
nominal data
eye color or city name
ordinal data
data is ranked somehow. education level, lvl of agreement
numeric data
discrete and continuous
discrete data
specific whole number values ex) number of students, number of attendees
continuous data
value within a range, not always a whole number ex) grades, weight, height
accuracy
how close a measurement is to the true value
precision
a measure of how close a series of measurements are to one another
reliability
repeatable and reproducable
repeatable result
the same outcome by the same operator multiple times
reproducable result
the same outcome with different operators multiple times
why do we care about data in public health?
