UNIT 1 TYPES OF SAMPLING METHODS

What is the difference between qualitative and quantitative data?

• Qualitative data involves numerical measurements, while quantitative data describes characteristics or qualities.

• Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.

• Qualitative data is always more reliable than quantitative data.

• Quantitative data is subjective, while qualitative data is objective.

What is a systematic sampling method?

• A method that involves selecting every nth individual from a list of the population after a random starting point.

• A technique where samples are taken at regular intervals from a population.

• A sampling method that relies on the researcher's judgment to select participants.

• A method that involves random selection of individuals without any specific pattern.

Define population in the context of sampling.

• A population is a small subset of individuals selected for a study.

• A population is the entire group of individuals or instances about whom we hope to learn.

• A population refers to the data collected from a sample.

• A population is the average of all measurements taken in a study.

What is the importance of random selection in sampling?

• It ensures that the sample is representative of the population, reducing bias.

• It allows researchers to select participants based on convenience.

• It increases the likelihood of obtaining extreme results.

• It simplifies the data analysis process.

What is a sample in research?

• A sample is a subset of the population selected for the purpose of conducting a study.

• A sample is the entire population being studied.

• A sample is a random selection of data points from a database.

• A sample is a theoretical concept that cannot be measured.

What is the role of a researcher in sampling?

• The researcher must carefully design the sampling method to ensure valid and reliable results.

• The researcher should randomly select participants without any criteria.

• The researcher is responsible for analyzing the data after sampling is complete.

• The researcher must ensure that all participants are from the same demographic.

What distinguishes a statistical question from a non-statistical question?

• A statistical question has a fixed answer, while a non-statistical question anticipates variability in the data.

• A statistical question anticipates variability in the data and can be answered by collecting data, while a non-statistical question has a fixed answer.

• A statistical question can only be answered with yes or no, while a non-statistical question requires detailed analysis.

• A statistical question is always numerical, while a non-statistical question is always categorical.

What is convenience sampling?

• A method where samples are taken from a group that is easily accessible.

• A technique that ensures every individual has an equal chance of being selected.

• A sampling method that requires random selection of participants.

• A process of selecting samples based on specific characteristics.

What is simple random sampling?

• A method where every individual in the population has an equal chance of being selected.

• A technique that selects individuals based on specific characteristics.

• A sampling method that only includes volunteers from the population.

• A process that ensures every individual is surveyed multiple times.

What is voluntary-response sampling?

• A method where individuals are randomly selected to participate in a survey.

• A method where individuals choose to participate in the survey, often leading to bias.

• A technique used to ensure that all demographic groups are represented in a survey.

• A process of collecting data from a fixed sample size without any participant choice.