Page 1 CPT Section D Quantitative Aptitude Chapter 15 Prof. Bharat Koshti Page 2 CPT Section D Quantitative Aptitude Chapter 15 Prof. Bharat Koshti Theory of estimation : It deals with estimating unknown values of the Population parameters. There are two types of estimation techniques : 1.Point Estimation 2. Interval Estimation 1. Point Estimation: When a single value is proposed to estimate, it is called as Point estimation. Page 3 CPT Section D Quantitative Aptitude Chapter 15 Prof. Bharat Koshti Theory of estimation : It deals with estimating unknown values of the Population parameters. There are two types of estimation techniques : 1.Point Estimation 2. Interval Estimation 1. Point Estimation: When a single value is proposed to estimate, it is called as Point estimation. 1. Suppose the unknown parameter is ?. (e.g. ? = Population Mean) 2. We take a sample of size â€˜nâ€™ from the population of size â€˜Nâ€™ at random. So we get sample observations ( x 1 , x 2 , x 3 , â€¦â€¦â€¦â€¦â€¦â€¦ x n ) 3. Now based on these sample observations we construct statistic T (e.g. Sample Mean) which will estimate ? Page 4 CPT Section D Quantitative Aptitude Chapter 15 Prof. Bharat Koshti Theory of estimation : It deals with estimating unknown values of the Population parameters. There are two types of estimation techniques : 1.Point Estimation 2. Interval Estimation 1. Point Estimation: When a single value is proposed to estimate, it is called as Point estimation. 1. Suppose the unknown parameter is ?. (e.g. ? = Population Mean) 2. We take a sample of size â€˜nâ€™ from the population of size â€˜Nâ€™ at random. So we get sample observations ( x 1 , x 2 , x 3 , â€¦â€¦â€¦â€¦â€¦â€¦ x n ) 3. Now based on these sample observations we construct statistic T (e.g. Sample Mean) which will estimate ? T is a single value obtained from the sample & is known as point estimator. The point estimator of Population Mean(µ), Population Standard Deviation(s) & Population Proportion(P) are the corresponding sample Mean(x¯),Sample Standard Deviation(s) & Sample Proportion(p). Page 5 CPT Section D Quantitative Aptitude Chapter 15 Prof. Bharat Koshti Theory of estimation : It deals with estimating unknown values of the Population parameters. There are two types of estimation techniques : 1.Point Estimation 2. Interval Estimation 1. Point Estimation: When a single value is proposed to estimate, it is called as Point estimation. 1. Suppose the unknown parameter is ?. (e.g. ? = Population Mean) 2. We take a sample of size â€˜nâ€™ from the population of size â€˜Nâ€™ at random. So we get sample observations ( x 1 , x 2 , x 3 , â€¦â€¦â€¦â€¦â€¦â€¦ x n ) 3. Now based on these sample observations we construct statistic T (e.g. Sample Mean) which will estimate ? T is a single value obtained from the sample & is known as point estimator. The point estimator of Population Mean(µ), Population Standard Deviation(s) & Population Proportion(P) are the corresponding sample Mean(x¯),Sample Standard Deviation(s) & Sample Proportion(p). Ex1. Consider sample observations 14,15,6,17,28 from population of 100 units. Find an estimate of population mean. Estimate of µ is given by X¯ X¯ = (14+15+6+17+28)/5 X¯ = 16 Hence, estimate of µ is 16.Read More

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66 docs|68 tests

### MCQ - Sampling Theory (Part - 1)

- Doc | 12 pages
### MCQ - Sampling Theory (Part - 2)

- Doc | 12 pages
### MCQ - Sampling Theory (Part - 3)

- Doc | 13 pages
### Test: Sampling Theory - 1

- Test | 40 ques | 40 min
### Test: Sampling Theory - 2

- Test | 40 ques | 40 min
### Test: Sampling Theory - 3

- Test | 40 ques | 40 min

- PPT - Sampling Theory (Part - 2)
- Doc | 14 pages
- PPT - Sampling Theory (Part - 1)
- Doc | 25 pages