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Given a certain population there are various ways in which a sample may be drawn from it. The chart below illustrates this point:
Figure 1
In Judgemental Sampling the sample is selected according to the judgement of the investigators or experts. Hence, there is a certain degree of subjectivity in the selection.
For example, the population under study may be people living in rented accommodation in Hyderabad. The investigator may choose as a sample, a certain number of his friends in Hyderabad living in rented accommodation. He may exercise all care in attempting to make the sample representative of the population.
But we cannot use Statistical Theory to find out how good the results of such a sampling are. Hence, we will concern ourselves mainly with Random Sampling, where every element of the population has a known chance of being included in the sample.
.1 Modern hotels and certain establishments make use of an electronic door lock system. To open a door an electronic card is inserted into a slot. A green light indicates that the
Calculation for Continuous Series or Grouped Data = where, m = mid-point of class =
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Cluster Sampling Here the population is divided into clusters or groups and then Random Sampling is done for each cluster. Cluster Sampling differs from Stratified Sampl
Example of discrete random variable: 1. What is a discrete random variable? Give three examples from the field of business. 2. Of 1000 items produced in a day at XYZ Manufa
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