Answered

Part III. Select 6 questions from the given alternatives and giveanswer (5 poinl.cach)
1. Why probability sampling is generally preferred in comparison to non-probability sampling
2. Under what circumstances would you recommend?
(a) A probability sample?
(b) A non-probability sample?
(e) A stratified sample?
(d) A cluster sample?
3. Enumerate the different methods of collecting data? Which one is the most suitable for
enquiry regarding family welfare program in Ethiopia? Explain its merits and
conducting
demerits.
4. List all the inajor components (parts of research proposal?
5. Measurement scale can be classified in terms of their mathematical property, list, explain and
give example for each type of measurement scale?
6. A researcher may forward (suggest) possible solution that may alleviate the probicu in
question, list all issues that a recommendation must consider?
7. Explain the meaning of the following in context of Research design,
(a) Extraneous variables;
(b) Confounded relationship;
(c) Research hypothesis;
(d) Experimental and Control groups;
(e) Treatments
8. Compare and contrast census and sampling and list the advantages of census over sampling



Answer :

Final answer:

Probability sampling ensures each member has a chance of selection, enabling generalizability to the overall population through random methods.


Explanation:

Probability sampling involves methods where each member of the population has a known and non-zero chance of being selected, while nonprobability sampling methods do not guarantee this. Generalizability refers to the extent to which the findings from a sample can be applied to the entire population, and it is achieved in probability samples by using random selection techniques.

Common types of probability samples include simple random, stratified, systematic, and cluster samples, each chosen based on the research objectives and the nature of the population.


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