Epidemiology Ch. 6

Front 1

A ___ population count is one of people who belong in a place even if not at home at count time.

Back 1

de jure

Front 2

A ___ population count is when people are counted by their location at the time of enumeration.

Back 2

de facto

Front 3

___ is any county or group of contiguous counties that contain at least one city of 50,000 inhabitants or more and any contiguous counties that are socially and economically integrated with the central city or cities.

Back 3

Standard Metropolitant Statistical Area (SMSA)

Front 4

___ is the person who pronounced the person dead and signs the death certificate.

Back 4

medical examiner

Front 5

___ is a an elected official who may or may not be a doctor.

Back 5

coroner

Front 6

___ provides the data, information, and insights into the characteristics which are present in a group or population suffering an outbreak of a disease and the absence of disease in unaffected groups or populations.

Back 6

descriptive statistics

Front 7

___ is used in epidemiology to develop rates, ratios, proportions, of morbidity and mortality data.

Back 7

descriptive statistics

Front 8

The research approaches which use prospective studies and an experimental research design.

Back 8

empirical research

Front 9

The statistical methods using mathematical formulas which are applied to parametric data, rely on the reasoning that uses probability statistics, approaches and formulas and have the final statement about the levels of probability about the findings.

Back 9

inferential statistics

Front 10

Data that is used only with interval and ratio scales.

Back 10

parametric data

Front 11

Data that is used with nominal and ordinal scales.

Back 11

non-parametric data

Front 12

___ statistics describes the frequency and distribution of data.

Back 12

descriptive

Front 13

Descriptive statistics is (4):

Back 13

1.) qualitative
2.) nonparametric
3.) observational
4.) rate, ratio, and proportion

Front 14

inferential statistics is (4):

Back 14

1.) quantitative
2.)parametric
3.) analytical
4.) probability, levels of chance/significance

Front 15

___ data classifies data that lacks order and can't be numerically arranged.

Back 15

nominal

Front 16

What are the 4 types of data scales?

Back 16

1.) nominal
2.) ordinal
3.) interval
4.) ratio

Front 17

___ scales provides order to the data.

Back 17

ordinal

Front 18

___ is a 5 pt. scale that categorizes information from lower to higher with order in the categories.

Back 18

likert scale

Front 19

A scale that divides categories with equal distances between categories or units of measure and has no zero point.

Back 19

interval scale

Front 20

A type of scale that relies on an equal distance between all numbers and a consistent value of all numbers and the distance between them in the scale.

Back 20

ratio scale

Front 21

The sum of all scores divided by the total number of scores.

Back 21

mean

Front 22

___ refers to the ways of designating the center of data.

Back 22

central tendency

Front 23

The number of scores that occurs most often; the number with the highest frequency.

Back 23

mode

Front 24

The number or score which divides a list of numbers in half.

Back 24

median

Front 25

___ provides a reference point, above or below.

Back 25

percentile ranking

Front 26

___ tells you relative standing. The number of standard deviations below or above the mean.

Back 26

z score

Front 27

When a distribution is not normal it is ___.

Back 27

skewed

Front 28

Positive distributions are distributions that are skewed to the ___.

Back 28

right

Front 29

Negative skewed distributions are distributions that are skewed to the ___.

Back 29

left

Front 30

___ skewed distribution is an indication that the test was too hard.

Back 30

positive

Front 31

___ skewed distribution is an indication that the test was too easy.

Back 31

negative

Front 32

___ scale has no zero point unlike the ___ scale that has a zero point.

Back 32

interval; ratio