DR SAJID MALIK B.Sc., MBBS, FCPS (PAK), MRCS( Glasg .), FMIS (Singapore) ASSISTANT PROFESSSOR OF SURGERY ALLAMA IQBAL MEDICAL COLLEGE / JINNAH HOSPITAL LAHORE PAKISTAN How to Use SPSS for Statistical Analysis
Without data, all you are just another person with an opinion . Unknown
Population and Sample Population is the set of all measurements of interest to the researcher. Sample is any subset of measurements selected from the population.
Characteristic of Population and Sample Parameter : The set of measurements in a population may be summarized by a descriptive characteristic, called a parameter. e.g . average income of household in Pakistan. Statistic : The set of measurements in a sample may be summarized by a descriptive characteristic , called a statistic. e.g. sample mean
Nominal Scale Male-Female , Well-Sick, Child-Adult, Married Unmarried Ordinal Scale Unimproved , Improved, Much Improved. Above average, average, below average etc. Intervals Scale Arbitrary Zero and unit distance e.g. temperature. Ratio Scale Height , weight and length etc.
Types of Statistics Descriptive statistics deals with enumeration organization and graphical representation of the data, e.g . Census data. Inferential statistics is concerned with making conclusions about population characteristics using information contained in a sample, that is , generalizing from the specific e.g. an opinion poll, such as the Gallop Poll .
Descriptive statistics Frequencies Percentages Measurement of Central Tendency Mean, Median Mode Measurement of Variation / Dispersion Range, variance, Stand deviation
Inferential statistics Two or More Groups Chi Square test Parametric Non-Parametric Two groups Independent t -test More than two groups ANOVA Before & after Paired t test Two groups Mann Whitney u test More than two groups K ruskal -Wallis test Before & after McNemar test