Data Collection and Sampling Techniques

How can you represent data visually to make it easier to understand?

• Discuss data verbally in meetings without visual aids.

• Use spreadsheets to store data without visualization.

• Write lengthy reports to explain data.

• Use charts, graphs, and infographics to represent data visually.

What type of data representation uses bars to show quantities?

• Line graph

• Scatter plot

• Bar chart

• Pie chart

How does a pie chart represent data?

• A pie chart uses a line graph to show trends over time for each category.

• A pie chart represents data as slices of a circle, showing the proportion of each category relative to the total.

• A pie chart represents data as a series of dots, indicating the frequency of each category.

• A pie chart displays data in a bar format, comparing different categories side by side.

What is a common method for collecting survey data?

• Phone interviews

• Focus groups

• Mail surveys

• Online questionnaires

Which of the following is a qualitative data collection method?

• Surveys

• Interviews

• Experiments

• Observations

Which method is best for collecting numerical data?

• Focus groups discussing general opinions.

• Observational studies without structured data collection.

• Informal interviews with open-ended questions.

• Surveys or experiments with structured questionnaires.

Which data collection method uses questionnaires to gather information?

• Survey

• Observation

• Focus Group

• Interview

What is the main purpose of using sampling techniques?

• To ensure complete accuracy in research findings.

• To collect data from every individual in a population.

• To eliminate the need for statistical analysis.

• To make inferences about a population efficiently.

Which sampling technique ensures that subgroups are represented proportionally?

• Convenience sampling

• Systematic sampling

• Cluster sampling

• Stratified sampling

What is the difference between random sampling and stratified sampling?

• Stratified sampling is only used for small populations.

• Random sampling selects individuals randomly from the entire population, while stratified sampling involves dividing the population into subgroups and sampling from each subgroup.

• Random sampling guarantees equal representation from all subgroups.

• Random sampling requires prior knowledge of the population structure.