Community Dent Flashcards
Measure of central tendency that fluctuates least from sample to sample
Mean
Mean or Arythmetic average
Most common
Sensitive to extreme scores
Insensitive to extreme scores
Median
Most frequent occruring value
Ease if computation
Quick indicator of central value in distribution
Mode
How far one value is from another
Measures of dispersion or variation
Easy to calculate and unstable
Range
How far the data is clustered around the mean
Possible zero variance
Coefficient of variation
Tells you how spread out the numbera are in a sample
Standard deviation
Census
Every 10 years
Non probability sampling
Quota Purposive Snowball or Chain referred Convenience Judgment
General composition is decided in advanced and includes a particular segment of population
Quota
A researcher has a specific group in mind
Purposive
Asking participants to suggest someone for study
Hard to track
Snowball
Taking what you can get
Convenience
Selection is based on the judgment of researcher
Judgment
When population is
Small
Homogenous
Readily available
Simple random
When population is
Large
Homogenous
Scattered
Systematic
Less cost, less laborious, more purposeful
TB test, covid test
Multiphase sampling
Employed in large countries
Country-wide survey
Multistage sampling
The information is divided into definite qualitative basis
Nominal
Rank order relation
Ordinal
Father of health statistics
John Graunt
Single data
Bar diagram
Plots different types of data
Quantitative data of continuous type
Histogram
Compares two or more frequency distribution
Frequency polygon
Used to show percentage
Pie diagram
Shows geographic distributions
Cartograms/ spot map
Popular method of presenting data to man in street
Pictogram
Used to get certain hypothesis
Test of significance
Parametric test
Used for quantitative data
Data with magnitude
Nonparametric tests
Used for qualitative data
Descriptions/characteristics
Parametric test
Chi square Student T Z Pearson correlation F (ANOVA)
Goal of chi square
Test the association between two events
Cause and effect
3 most important applications
Test of
Proportion
Association
Goodness of fit
Student T
Grosset in 1908
Determine if the means of two sets of data are significantly different from each other
Unpaired T
Independent samples t-test used when two separate sets of independent and identically distributed samples are obtained
100 and 50
Paired T
Use a paired T test when you have same population tested two times on different occasions
100 and 100
Preferred for more than one comparison
Compares different groups with the variation within a group
ANOVA
Test indicated when various experimental groups differ in terms of only one factor at a time
Height
One way ANOVA test
It is indicated when various experimental group differs in terms of two factors
Height and weight
Two way or multifactorial ANOVA
The same people are sampled on two different occasions
Paired T
To find the association between 2 variables
CST
When one study group is sampled on 3 or more occasions
When two or more groups are studied in one or 2 factors
Anova
When multiple groups are studied in terms of only one factor
One way anova
Test used to examine differences between frequencies in sample
CST
When a test uses nominal data only and has more than 25 subjects
CST
When a test uses nominal data only and has fewer than 25 subjects
Fischer’s exact probability
The process by which we select controls in such a way that they are similar to case with regard to ceratin pertinent selected variables are known to influence the outcome
Matching
Disadvantage of matching
Tendency of overmatching
Cases are divided into subtypes or groups based on their characteristics
Age
Occupation
Group matching
Frequency matching
Individual
One on one
Pair matching
For each case a control is chosen
50 year old with disease
50 year old without disease