Math Vocabulary_7Statistics

What is a sample?

• A collection of data that includes every member of a population.

• A smaller group selected from a population to represent the whole.
  

• A process of organizing and analyzing data.

• A method of conducting experiments on an entire population.

What is a population?

• A group of people chosen randomly from a larger group.

  
  
  

• A small group selected to represent a larger group.

• The entire group that you want to learn about or study.

• A set of data collected from a sample.

What is the difference between a statistic and a parameter?

• A statistic describes a sample, while a parameter describes a population.
  
  

• A statistic describes a population, while a parameter describes a sample.

• A statistic and a parameter are the same things.

• A statistic describes individuals, while a parameter describes data.

What is the difference between a biased sample and an unbiased sample?

• A biased sample is chosen randomly, while an unbiased sample is not.
  
  
  

• A biased sample favors certain parts of the population, while an unbiased sample gives everyone an equal chance of being selected.

• A biased sample includes everyone in the population, while an unbiased sample only includes a few people.

• A biased sample uses data, while an unbiased sample does not.

What is a representative sample?

• A sample that includes every member of a population.
  
  
  

• A sample that over-represents certain groups within the population.

• A sample that accurately reflects the characteristics of the larger population.

• A sample that excludes specific groups from the population.

What is a non-representative sample?

• A sample that accurately reflects the characteristics of the larger population.
  

• A sample that includes all members of the population.

• A sample that does not accurately reflect the population and may be biased.

• A sample that is selected randomly from the population.

What is the purpose of using a sample in research?

• To gather data from every member of the population.
  
  
  

• To represent and estimate characteristics of the larger population.

• To create a new population for study.

• To exclude certain groups from the research.

Why is it important to avoid a biased sample?

• To make the data collection process easier.

• To ensure the results are accurate and generalizable to the whole population.

• To reduce the number of participants needed.

• To speed up the data analysis.

What can happen if a sample is not representative?

• The results will always be accurate.

• The data will be considered valid without any need for further analysis.

• The conclusions drawn may not accurately reflect the characteristics of the entire population.

• The sample will always include a diverse range of people.

What is the primary difference between a sample and a population?

• A sample is a smaller group taken from a population, while a population includes the entire group being studied.

• A sample includes every member of the population, while a population is only a part of the sample.

• A sample is used to describe data, while a population is used for analysis.

• A sample and a population are interchangeable terms with the same meaning.