Types of Non probability Types of Non probability Sampling Sampling Judgment Sampling Judgment Sampling. Sample items are . Sample items are selected by using a researchers personal selected by using a researchers personal judgmentjudgmentConvenience Sampling. Convenience Sampling. Selecting Selecting sample items that are close at hand or sample items that are close at hand or otherwise easy to obtain otherwise easy to obtain
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SamplingSampling Judgment SamplingJudgment Sampling. Sample items are. Sample items are
selected by using a researchers personalselected by using a researchers personaljudgment judgment
Convenience Sampling.Convenience Sampling. SelectingSelectingsample items that are close at hand orsample items that are close at hand orotherwise easy to obtainotherwise easy to obtain
Quota Sampling.Quota Sampling. Resea rchers det ermin eResea rchers det ermin et he p ercentag e o f t he ta rg et population t hat t he p ercentag e o f t he ta rg et population t hat po ssesses t he cha ra ct eri sti cs o f int erest an dpo ssesses t he cha ra ct eri sti cs o f int erest an dt hen sp eci fy t he num ber o f t hese in divi dual st hen sp eci fy t he num ber o f t hese in divi dual s
to be in clu ded in t he sampl e to ref l ect t hei rto be in clu ded in t he sampl e to ref l ect t hei rp ropo rtion in t he population p ropo rtion in t he population
p rovi de nam es o f a dditional respon dent s to p rovi de nam es o f a dditional respon dent s to in clu de in a sampl e. Resea rchers u se t hi sin clu de in a sampl e. Resea rchers u se t hi sreferral m et ho d w hen pot ential respon dent sreferral m et ho d w hen pot ential respon dent sa re di ff i cult to lo cat e becau se t hey a re a a re di ff i cult to lo cat e becau se t hey a re a
tin y pa rt o f t he enti re population tin y pa rt o f t he enti re population
The distribution of data into classes orThe distribution of data into classes or
groups along with their frequencies.groups along with their frequencies.
Probability distributionProbability distribution
The distribution of data into classes orThe distribution of data into classes orgroups along with their probabilities.groups along with their probabilities.
sampling distribution is a sampling distribution is a probability distribution of aprobability distribution of arandom variable along with their probabilities.random variable along with their probabilities.
A A sampling distribution of the sample mean sampling distribution of the sample mean isis thethedistribution of sample means ( by taking all possibledistribution of sample means ( by taking all possible
samples of same size) along with their probabilities.samples of same size) along with their probabilities. A A sampling distribution sampling distribution has their own mean and standardhas their own mean and standard
nn Shape of the distributionShape of the distribution If the population is normal then the sampling distributionIf the population is normal then the sampling distribution
of mean will also be normal regardless of sample sizeof mean will also be normal regardless of sample size If the population sampled is non normal, then forIf the population sampled is non normal, then for
sufficiently large sample size, the sampling distributionsufficiently large sample size, the sampling distributionof mean will approximate the normal distribution.of mean will approximate the normal distribution.
Standardized form of a randomStandardized form of a random
variablevariable Standardized form of random variable canStandardized form of random variable can
be obtained by subtracting its mean frombe obtained by subtracting its mean fromit and dividing the difference by itsit and dividing the difference by itsstandard deviation.standard deviation.
N=5 consists of 0,3,6,9,12 values aN=5 consists of 0,3,6,9,12 values asample of size n=3 is randomly selectedsample of size n=3 is randomly selectedwithout replacement .without replacement .
Find sampling distribution & verify itsFind sampling distribution & verify itsproperties.properties.
Solution : the number of samples of sizeSolution : the number of samples of sizen=3 which can be drawn without n=3 which can be drawn without replacement isreplacement is NNCCnn= = 55CC33=10=10