Summative Test

Choose the most suitable sampling technique for each scenario provided below. You want to conduct a survey to understand consumer preferences for a new smartphone model across different age groups in a city. The city's population is divided into three distinct age brackets: 18-25, 26-40, and 41-60 years old.

• Cluster Sampling

• Stratified Sampling

• Multi-Stage Sampling

• Purposive Sampling

Choose the most suitable sampling technique for each scenario provided below. Imagine you are a sociologist conducting a study on the social networks and experiences of undocumented immigrants in a particular city. You realized that the nature of the topic is sensitive, and it is difficult to access the hidden population.

• Convenience Sampling

• Quota Sampling

• Snowball Sampling

• Voluntary Response Sampling

Choose the most suitable sampling technique for each scenario provided below. You wanted to conduct a study on the effects of social media usage on stress levels among university students. Due to time constraints and limited resources, you decided to involve the students across your room to be the respondents.

• Judgement Sampling

• Simple Random Sampling

• Snowball Sampling

• Convenience Sampling

Choose the most suitable sampling technique for each scenario provided below. The study aims to assess the efficacy of the Grade 11 and 12 curriculums. Initially, a database comprising 500 students was obtained from the administration section. To select participants for the study, each student in the database was assigned a unique number. Subsequently, a random number generator was employed to choose 50 participants for inclusion in the study.

• Simple Random Sampling

• Quota Sampling

• Snowball Sampling

• Stratified Random Sampling

Choose the most suitable sampling technique for each scenario provided below. A market researcher wants to understand consumer preferences for a new brand of energy drinks in Quezon City. Due to the diverse nature of the city, the researcher decided to choose five barangays to be the participants of the study.

 

• Stratified Random Sampling

• Cluster Sampling

• Multi-Stage Sampling

• Convenience Sampling

Compute the sample size using Slovin's Formula: Population = 3,025, e = 5%

• 148

• 354

• 417

• 497

• 2,010

Compute the sample size using Slovin's Formula: Population = 435, e = 1%

• 148

• 354

• 417

• 497

• 2,010

Compute the sample size using Slovin's Formula: Population = 10,234, e = 2%

• 148

• 354

• 417

• 497

• 2,010

Compute the sample size using Slovin's Formula: Population = 150, e = 1%

• 148

• 354

• 417

• 497

• 2,010

Compute the sample size using Slovin's Formula: Population = 896, e = 3%

• 148

• 354

• 417

• 497

• 2,010