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Topic 6 - Sampling lV (in Hindi)
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Talvir Singh is teaching live on Unacademy Plus

Talvir Singh
Double JRF Commerce/Management Motivational Speaker Comedy Addict Lyricist 5 Year Teaching Experience #TREND SETTER

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In the last question we can also use the concept of opposite letter. F opposite is U. G opposite is I. In option we can easily eliminate the 3 option.
mere browser par koi video nhi chl rhi ... please .credits hone chahiye videos dekhne k liye ya kuch or pbm ho skti ha
a year ago
no need to credits. koi aur problem hoga
Bhuvnesh kumar
a year ago
thanx brother i will chek.....ap browser pe chlate ho ya moblie app mein
thank you tons 🌼 please upload the next one 🙌🙌 your efforts are really appreciable 🌼🌼
its a digestive capsule....very helpful to review quickly with authentic sources..thank you sir very much for your selfless service to the learner.
sir is course ki wajah se hi acchi trha revision ho pa rha h . thank you very much
thnq u so much Sir... u r the best educator in the world 🙏🙏

  2. Sampling Error Sampling error refers to differences between the sample and the population that exist only because of the observations that happened to be selected for the sample Increasing the sample size will reduce this type of error

  3. Sampling Error Error caused by the act of talaing a sample They cause sample results to be different from the results of census Differences between the sample and the population that exist only because of the observations that happened to be selected for the sample Statistical Errors are sample error

  4. NON SAMPLING ERRORS Non-sampling error is a catch-all term for the deviations of estimates from their true values that are not a function of the sample chosen, including various systematic errors and random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors.

  5. Non-Sampling Error Coverage error -Wrong population definition -Flawed sampling frame -Interviewer or management error in following sampling frame - Response error -Badly worded question results in invalid or incorrect response -Interviewer bias changes response Non-response error -Respondent refuses to take survey or is away -Respondent refuses to answer certain questions - Error in data entry or recording of responses .Analysis errors - Inappropriate analytical techniques, weighting or imputation are applied

  6. BASIS FOR COMPARISON SAMPLING ERROR NON SAMPLING ERROR Sampling error is a type of error, occurs due to the sample selected does not perfectly represents the An error occurs due to sources other than sampling, while conducting survey activities is known as non sampling error. Meaning population of interest Deviation between sample mean and population mean Deficiency and analysis of data Cause Type Occurs Sample size Random Random or Non-random Only when sa mple is selected. Both in sam ple and census. Possibility of error reduced with the increase in sample Size It has nothing to do with the sample size.

  7. BASIS FOR CENSUS SAPLING COMPARISON Meaning A systematic method that collects and records the data about the members of the population is called Census Sampling refers to a portion of the population selected to represent the entire group, in all its characteristics Enuneration Complete Partial Study of Each and every unit of the population. Only a handful of units of the population. Time required It is a time consuming process It is a fast process Cost Expensive method Economical method Results Reliable and accurate Less reliable and accurate, ue to the margin of error in the data collected Depends on the size of the population Error Not present.