Sampling Methods: Probability vs. Non-Probability
The question asks to identify the sampling method that does not belong to the "probability" category. Probability sampling methods ensure that every individual in the population has a known, non-zero chance of being selected for the sample. This randomness is key.
Probability Sampling Methods
The following are considered probability sampling methods:
- Systematic sampling: Involves selecting elements from a list at regular intervals (e.g., every 10th person). Each element has a predetermined probability of selection.
- Stratified sampling: The population is divided into subgroups (strata), and random samples are drawn from each stratum. This ensures representation from all groups.
- Cluster sampling: The population is divided into clusters (groups), some clusters are randomly selected, and then all individuals within the selected clusters are sampled.
Non-Probability Sampling Method
Quota sampling is different. In this method, researchers set specific quotas for different subgroups based on certain characteristics (like age, gender, or occupation). However, the selection of individuals within these quotas is non-random and often left to the interviewer's convenience. Because the selection isn't based on chance, it's not a probability method.
Conclusion
Since every member of the population does not have a known, equal, or predetermined chance of being selected in quota sampling, it is not a probability method.
Therefore, the correct answer is Quota sampling.
Important Questions from Statistics
- Match the LIST-I with LIST-II
LIST-I LIST-II A. Sampling error I. Values that describe the characteristics of a population B. Parameters II. The standard deviation of the sampling distribution C. Sampling fraction III. Variation among sample statistics due to change D. Standard error IV. Proportion of the population contained in a sample
Choose the correct answer from the options given below: Given below are two statements one is labelled as Assertion (A) and the other is labelled as
Reason (R).
Assertion (A): Additive model considers the total of various components resulting in the given
values of the over all time series and it is stated as:
$Y=T+C+S+I$
Reason (R): Multiplicative model assumes that the various components interact in a
multiplicative manner to produce the given values of the over all time series and
can be stated as $Y=T \times C \times S \times I$
In the light of the above statements, choose the most appropriate answer from the options given
below:
Match List - I with List - II.
List - I List - II A. Sample proportion P = x/n I. $\frac{\sigma}{\sqrt{n}}$ B. Sample variance $S_1^2 = \frac{1}{n-1} \sum_{i=1}^{n}(xi-x̄)^2$ II. $\sigma^2 \sqrt{\frac{2}{n}}$ C. Sample variance $S^2 = \frac{1}{n} \sum_{i=1}^{n}(xi-x̄)^2$ III. $\sigma^2 \sqrt{\frac{2}{(n-1)}}$ D. Sample mean $\bar{x} = \frac{1}{n} \sum_{i=1}^{n}xi$ IV. $\sqrt{\frac{\pi(1-\pi)}{n}}$
Choose the correct answer from the options given below :- The measurement or determinations of length, height, weight, volume, area, pressure etc. comes under:
- Which of the following options explain what a 'mean' assumes ?
(i) an interval level of measurement
(ii) a nominal level of measurement
(iii) an ordinal level of measurement
(iv) a ratio level of measurement
