Statistics Vocabulary

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 gathering information through observation.

What is a Stratified Sample?

• A sample that is divided into subgroups (strata) and random samples are taken from each stratum.

• A sample that includes every member of the population.

• A sample that is selected based on convenience and availability.

• A sample that is taken from only one subgroup of the population.

What is the difference between a sample and a population?

• A sample is a subset of a population, used to make inferences about the population.

• A sample is larger than the population and includes all members.

• A sample is a random selection of the population that cannot be used for inferences.

• A sample and a population are the same and can be used interchangeably.

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What does it mean for a sample to be representative?

• It means the sample accurately reflects the characteristics of the general population.

• It means the sample is the largest possible size.

• It means the sample is taken from a single location.

• It means the sample includes only the most extreme cases.

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What is Sampling Bias?

• A bias that occurs when the sample is not representative of the population, leading to inaccurate conclusions.

• A method of selecting a sample that ensures every individual has an equal chance of being chosen.

• A technique used to improve the accuracy of survey results by increasing sample size.

• A statistical error that occurs when the sample size is too small.

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What is a Systematic Sample?

• A sample obtained by selecting every nth individual from a list or sequence.

• A sample chosen randomly from a population without any specific method.

• A sample that includes all individuals from a population.

• A sample that is based on the convenience of the researcher.

What is the importance of sample size?

• A larger sample size generally leads to more accurate and reliable results.

• A smaller sample size is always more cost-effective.

• Sample size has no impact on the reliability of results.

• Sample size only affects the speed of data collection.

What is a Voluntary Sample?

• A sample consisting of individuals who choose to participate, often leading to bias.

• A sample randomly selected from a population without any specific criteria.

• A sample that includes every member of the population.

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

What is a Representative Sample?

• A sample that is randomly selected from the population.

• A sample where characteristics accurately reflect those of the larger population from which the sample is being selected.

• A sample that includes only the most extreme cases.

• A sample that is larger than the population itself.

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What is the population in a survey?

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

• The population refers to a subset of individuals selected from a larger group.

• The population is the average of all responses collected in the survey.

• The population is the total number of surveys distributed.

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CCSS.7.SP.A.1

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