Akademik Dersler - İçerik

1. Will be able to define principal concepts about sampling.
1.1. Explains the advantages of sampling.
1.2. Lists the stages of sampling process.
1.3. Categorizes and defines the sampling methods.
2. Will be able to apply the Simple Random Sampling (SRS) method.
2.1. Expresses sample select process on SRS.
2.2. Formulates and calculates the estimators of population mean, population total, population ratio of two variables, the percentage and the total number of units in the population that possess some characteristic.
2.3. Identifies and interprets condifence intervals via variance estimates of the estimators.
2.4. Estimates the convenient sample size for SRS method.
3. Will be able to apply the Stratified Sampling method.
3.1. Explains the necessity of the method for given different situations.
3.2. Applies the simple estimation method in Stratified Sampling.
3.3. Composes the optimum allocation of the sample size to stratum.
3.4. Compares SRS and Stratified Random Sampling methods.
3.5. Calculates required sample size for the estimators in Stratified Random Sampling.
3.6. Applies the Ratio Estimation method for SRS and Stratified Random Sampling.
4. Will be able to apply the Systematic Sampling (SS) and Cluster Sampling (CS) methods.
4.1. Expresses sample select process on SS and CS methods.
4.2. Relates SS to the other sampling method.
4.3. Estimates the parameters using SS method.
4.4. Applies SS method to strata.
4.5. Estimates the parameters for equal and unequal cluster sizes.