Question

briefly explain sampling errors in 12 sentence

Answer 1

Sampling error is a common phenomenon in Statistics, which indicates the difference or gap between the sample estimates and the actual parameter characteristics.In other words,sampling error occurs when only a sample or subset of the actual population in studied in Statistics.

Explanation:

Types of Sampling Errors:-

1. Population Specification:This is a type of sampling error that occurs when the researcher does not know which or what type of sample he/she should choose to conduct the study.When the target population is fairly large,such kind of problem can arise such as when studying about toothbrush for example,which is used by everyone irrespective of any specific age group.
2. Sampling Frame Error:When the researcher chooses the wrong sample for his/her study,sampling frame error may arise.For example,the topic of the study is based on latest fashion trends in the market and the researcher predominantly focuses on old section of the population to collect data.
3. Selection Error:Selection error can result when the researcher selects the sample by himself/herself and only the interested ones participate in the study.Non-responses from the sample significantly contribute to missing information and lack of follow up by the researcher from non-respondents can worsen this problem.
4. Non-response Error:This problem is related to selection error where actual respondents are different from the ones who refuse to respond or participate in the study.This may be caused as some people are not simply not interested to participate or respond or not followed up or contacted further by the researcher.
5. Sampling Error:It can occur when the sample size is not appropriately representative of the actual target population in the study.If the sample size is too much or insufficient,it does not represent or cover the population sufficiently leading to sampling error.