Drug Lit, Exam 2 Semester 1 Big Review

Front 1

describe difference between populations and samples

Back 1

an example of a sample would be us Bostonians, it is a group of people with something in common. location? disease? anything that places people into the same category

Front 2

qualitative vs. quantitative data

Back 2

qualitative involves details and descriptions, it is data that can be measured and observed, but not measured

quantitative data inversely can be measured, it revolves around numbers

Front 3

nominal, ordinal and continuous data

Back 3

nominal data is data than can be counted but not measured, married and not married, males and females.

ordinal data is data that can be ordered but not measured, on a rating scale of 1-10 rate your experience...

continuous data consist of things that are measured like hight, weight, time and amounts. you need

Front 4

population example

Back 4

a group, people with hypertension

Front 5

sample

Back 5

a representation of the population, tries to represent equal amounts from the entire group

Front 6

parameters

Back 6

measurement that describes a population, an estimated number of subjects in the group... aprox. males with hypertension.

Front 7

statistics

Back 7

measurement that describes the sample, like a ration of male/female ratio of hypertensive patients

Front 8

variable data, independent an dependent

Back 8

the independent is what was selected by the investigator... the new antihypertensive drug

the dependent is what is being measured, in relation with the indented, the blood pressure.

Front 9

categorical or qualitative data

Back 9

non numerical, pain scale, eye color,
with an implied rank to the data it becomes ordinal, like the pain scale
if the data has no order then it is nominal, sex and eye color

Front 10

quanitative variables, numerical

Back 10

discrete data only has whole numbers (children per household) or number of people who had a reaction

Front 11

continuous data,

Back 11

any form of data that takes a range, age, weight, laboratory values

Front 12

ratio scale

Back 12

a scale with a neutral 0 point. this allows us to determine something based on a ration.
weight, or the Kelvin scale
statistical test and, both interval and ratio scales are treated the same

Front 13

continuous variables are some times treated as categorical data.

Back 13

when ages of individuals become grouped they are no longer treated as single numbers, but groups.