Data Cycle

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What is the Data Cycle?

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The Data Cycle is a process that involves collecting, analyzing, and interpreting data to answer questions and make decisions.

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What is the first step in the Data Cycle?

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Formulate Questions to be Explored with Data.

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What is the second step in the Data Cycle?

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Collect or Acquire Data.

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What is the third step in the Data Cycle?

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Organize and Represent Data.

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What is the fourth step in the Data Cycle?

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Analyze Data and Communicate Results.

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Why is it important to formulate questions before collecting data?

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Formulating questions helps to focus the data collection process and ensures that the data gathered is relevant to the inquiry.

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What does it mean to collect or acquire data?

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It means gathering information from various sources to answer the formulated questions.

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What is a sample population?

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A sample population is a subset of individuals selected from a larger population to represent the whole.

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Why is it important to have a representative sample?

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A representative sample ensures that the results of the data analysis can be generalized to the entire population.

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What type of question would help determine preferences in a survey?

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Open-ended questions like 'What is your favorite candy?' allow for more detailed responses.