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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.
These techniques are applied when the rows and the columns of the data table represent the same units and when the measure is a disiance or a similarity. The goal of the analysis i
Other Measures of Dispersion In this section, we look at relatively less used measures of dispersion like fractiles, deciles, percentiles, quartiles, interquartile range and f
Examine the given statement, then express the null hypothesis H0 and the alternative hypothesis H1 in symbolic form. The mean weight of women who won a beauty pageant is equal t
Measurement of trend , least square method
what the purpose we use it
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The Null Hypothesis - H0: The random errors will be normally distributed The Alternative Hypothesis - H1: The random errors are not normally distributed Reject H0: when P-v
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In a three-cornered paint ball duel, A, B, and C successively take shots at each other until only one of them remains paint free. The three paint ballers have different probabiliti
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