Sampling and Population

How can you identify a biased sample?

• A biased sample can often be identified if certain groups are overrepresented or underrepresented.

• A biased sample is always larger than a random sample.

• A biased sample includes only individuals from one demographic group.

• A biased sample can be identified by the randomness of its selection.

What is a stratified sample?

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

• A sample that includes every member of the population.

• A sample that is randomly selected from the entire population without any subgroup consideration.

• A sample that focuses only on the largest subgroup within the population.

What is a random sample?

• A random sample is one where every member of the population has an equal chance of being selected.

• A random sample is a selection of individuals that is biased towards a particular group.

• A random sample is a selection made by choosing every nth member of the population.

• A random sample is a group of individuals selected based on their availability.

What is an outlier?

• A data point that is significantly different from other observations in a dataset.

• A data point that is the average of all observations in a dataset.

• A data point that is the most frequently occurring value in a dataset.

• A data point that is always the highest value in a dataset.

What is the significance of sample size?

• Sample size has no impact on results.

• Larger samples tend to provide more accurate estimates.

• Sample size only affects the cost of research.

• Smaller samples are always more reliable.

What is the difference between a sample and a population?

• A population includes all members of a specified group, while a sample includes only a portion of that group.

• A sample includes all members of a specified group, while a population includes only a portion of that group.

• A population is a smaller subset of a sample.

• A sample is always larger than a population.

What is the role of a statistician?

• A statistician collects and stores data without analysis.

• A statistician analyzes data and helps interpret the results to make informed decisions.

• A statistician only works with numbers and does not interact with clients.

• A statistician creates software for data visualization.

What is a population in statistics?

• A population is the entire group of individuals or items that we want to learn about.

• A population is a sample of individuals selected from a larger group.

• A population refers to the average of a set of data points.

• A population is the maximum value in a data set.

What is a sample in statistics?

• A sample is a subset of the population that is used to represent the whole group.

• A sample is the entire population being studied.

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

• A sample is a method of collecting data from all members of a population.

What is a survey?

• A method of collecting data by asking questions to a group of people.

• A type of statistical analysis used to interpret data.

• A process of conducting experiments in a controlled environment.

• A technique for measuring physical attributes of individuals.