Lesson 4.1 Sampling and Surveys GOOD

Why is it important to have a representative sample in surveys?

• A representative sample ensures that the survey results can be generalized to the larger population, making the findings more valid.

• A representative sample is necessary to ensure that the survey is conducted in a timely manner.

• A representative sample helps to reduce the cost of conducting surveys.

• A representative sample is only important for qualitative research, not quantitative research.

What is sampling error?

• The difference between the results obtained from a sample and the actual characteristics of the population.

• The process of selecting a sample from a population.

• The error that occurs when a sample is too small to represent the population.

• The variation in data that occurs due to random chance.

What is a survey?

• A method of collecting data or information from a group of individuals to understand their opinions, behaviors, or characteristics.

• A type of statistical analysis used to interpret data.

• A process of conducting interviews with individuals to gather qualitative data.

• A technique for measuring physical attributes of a population.

What is a convenience sample?

• A type of random sampling where individuals are selected randomly.

• A type of non-random sampling where individuals are selected based on their easy availability.

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

• A sampling technique that involves selecting individuals based on specific characteristics.

What is a biased survey?

• A survey that randomly selects participants from the population.

• A survey that systematically favors certain outcomes or groups, leading to skewed results.

• A survey that includes a wide range of opinions and perspectives.

• A survey that is conducted online only.

What is stratified sampling?

• A method where the population is divided into subgroups and random samples are taken from each subgroup.

• A technique that involves selecting every nth individual from a list.

• A sampling method that only includes individuals from the largest subgroup.

• A process of collecting data from a single group without any division.

How can survey results be analyzed?

• Using statistical methods to identify trends, patterns, and relationships within the data.

• By collecting more responses to increase sample size.

• Through qualitative interviews with participants.

• By guessing the outcomes based on previous surveys.

What is an open-ended question in a survey?

• A question that allows respondents to choose from a set of predefined answers.

• A question that requires a yes or no response.

• A question that allows respondents to answer in their own words, providing more detailed and qualitative data.

• A question that is only used in qualitative research.

What is the significance of survey questions being clear and unbiased?

• They ensure that respondents understand what is being asked and that their answers reflect their true opinions.

• They make the survey longer and more complex.

• They allow researchers to manipulate the results easily.

• They reduce the need for follow-up questions.

What is a random sample?

• A subset of a population where every individual has an equal chance of being chosen.

• A sample that is selected based on specific characteristics of the population.

• A sample that includes only the most common traits of the population.

• A sample that is chosen randomly without any criteria.