M1_IDENTIFYING THE DIFFERENT RANDOM SAMPLING TECHNIQUE.pptx

STAT. & PROB.

1. IDENTIFYING THE DIFFERENT RANDOM SAMPLING TECHNIQUE

2. VOCABULARY LIST!  POPULATION The set of all possible values of a variable . SAMPLE It consist of one or more data drawn from the population RANDOM SAMPLING It is a sampling method of choosing representatives from the population wherein every sample has an equal chance of being selected. Accurate data can be collected using random sampling techniques .

3. VOCABULARY LIST!  1. PROBABILITY SAMPLING The sampling techniques that involve random selection 2. NON - PROBABILITY SAMPLING The sampling techniques that do not involve random selection of data Types of Random Sampling

4. 1. SIMPLE RANDOM SAMPLING - It is the most basic random sampling wherein each element in the population has an equal probability of being selected. Different types of Probability Sampling

5. 2. SYSTEMATIC RANDOM SAMPLING This can be done by listing all the elements in the population and selecting every nth element in your population list This is equally precise as the simple random sampling. It is often used on long population lists. To determine the interval to be used in identifying the samples to who will participate in the study, use the formula (where N = population, n = sample size).   Different types of Probability Sampling

6. 2. SYSTEMATIC RANDOM SAMPLING Different types of Probability Sampling

7. 3. STRATIFIED RANDOM SAMPLING Is a random sampling wherein the population is divided into different strata or divisions. The number of the samples will be proportionally picked in each stratum that is why all strata are represented in the samples. Different types of Probability Sampling

8. 3. STRATIFIED RANDOM SAMPLING Different types of Probability Sampling

9. 4. CLUSTER RANDOM SAMPLING Is a random sampling wherein the population is divided into clusters or groups and then the clusters are randomly selected. All elements of the clusters randomly selected are considered the samples of the study. Different types of Probability Sampling

10. 4. CLUSTER RANDOM SAMPLING Different types of Probability Sampling

11. 1. CONVENIENCE SAMPLING Is a random sampling wherein the researcher gathers data from nearby sources of information exerting minimal effort. Convenience is being used by persons giving questionnaires on the streets to ask the passers-by. Different types of Non-Probability Sampling

12. 1. CONVENIENCE SAMPLING Different types of Non-Probability Sampling

13. 2. SNOWBALL SAMPLING OR CHAIN REFERRAL SAMPLING Is defined as a non-probability sampling technique in which the samples have traits that are rare to find. This is a sampling technique in which existing subjects provide referrals to recruit samples required for a research study. Different types of Non-Probability Sampling

14. 2. SNOWBALL SAMPLING OR CHAIN REFERRAL SAMPLING Different types of Non-Probability Sampling

15. 3 . QUOTA SAMPLING Sample units are picked for convenience but certain quotas are given to interviewers. This design is specially used in market research. Researchers choose these individuals according to specific traits or qualities. Different types of Non-Probability Sampling

16. 3 . QUOTA SAMPLING Different types of Non-Probability Sampling

17. 4 . VOLUNTEER SAMPLING Sample units are volunteers I studies wherein the measuring process is painful or troublesome to a respondent. Different types of Non-Probability Sampling

18. 4 . VOLUNTEER SAMPLING Different types of Non-Probability Sampling

19. Test Yourself!  Identify which sampling method is applied in the following situations. 1. The teacher randomly selects 20 boys and 15 girls from a batch of learners to be members of a group that will go to a field trip. 2. A sample of 10 mice are selected at random from a set of 40 mice to test the effect of a certain medicine. 3. The people in a certain seminar are all members of two of five groups are asked what they think about the President. 4. A brand manager of a toothpaste asks ten dentists that have clinic closest to his office whether they use a particular brand of toothpaste. 5. A barangay health worker asks every four house in the village for the ages of the children living in those households.

20. Test Yourself!  Identify which sampling method is applied in the following situations. 1. The teacher randomly selects 20 boys and 15 girls from a batch of learners to be members of a group that will go to a field trip. STRATEFIED SAMPLING

21. Test Yourself!  Identify which sampling method is applied in the following situations. 2. A sample of 10 mice are selected at random from a set of 40 mice to test the effect of a certain medicine. SIMPLE RANDOM SAMPLING

22. Test Yourself!  Identify which sampling method is applied in the following situations. 3. The people in a certain seminar are all members of two of five groups are asked what they think about the President. CLUSTER SAMPLING

23. Test Yourself!  Identify which sampling method is applied in the following situations. 4. A brand manager of a toothpaste asks ten dentists that have clinic closest to his office whether they use a particular brand of toothpaste. CONVENIENCE SAMPLING

24. Test Yourself!  Identify which sampling method is applied in the following situations. 5. A barangay health worker asks every four house in the village for the ages of the children living in those households. SYSTEMATIC SAMPLING

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