1) You want to select a sample of 1000 employees of a social media marketing company. You assign a number to every employee in the company database from 1 to 1000, and use a random number generator to select 100 numbers a) Simple Random Sampling b) Systematic Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 2) The company has 800 female employees and 200 male employees. You want to ensure that the sample reflects the gender balance of the company, so you sort the population into two strata based on gender. a) Simple Random Sampling b) Systematic Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 3) All the names of the employees of the company are put in a raffle box. a) Simple Random Sampling b) Systematic Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 4) There are 20 toddlers, 40 teenagers, 45 middle aged and 55 senior citizens in a certain area. Samples are taken according to the total number of people in the area. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 5) All employees of the company are listed in alphabetical order. From the first 10 numbers, you randomly select a starting point: number 6. From number 6 onwards, every 10th person on the list is selected (6, 16, 26, 36, and so on), and you end up with a sample of 100 people. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 6) The company has offices in 10 cities across the country (all with roughly the same number of employees in similar roles). You don’t have the capacity to travel to every office to collect your data, so you use random sampling to select 3 offices to be your groups. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 7) Every five files out of 500 files will be chosen. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 8) The teacher writes all the names of students in a piece of paper and puts it in a box for the graded recitation. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 9) The teacher gets the class record and call every 4th name in the list. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling 10) There are 20 members of taekwondo club, 40 math club members, 60 drama theatre members, and 30 members of science club. The researchers want to get 20 respondents out of these organizations. a) Simple Random Sampling b) Systematical Sampling c) Stratified Sampling d) Cluster Sampling e) Multi - Stage Sampling

Identifying the different Random Sampling Techniques

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