Chapter 1: Introduction to Data & Statistics Flashcards

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Vocabulary flashcards covering core terms, key questions, graph reading concepts, and the 5-step Statistical Investigative Cycle (PPDAC) from Chapter 1.

Last updated 4:58 PM on 8/26/26
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16 Terms

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Statistics

The science of variability, which studies differences and changes in information to help make decisions when we do not know everything.

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Variability

Differences or changes in data.

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Zoom In

Looking at one individual result.

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Zoom Out

Looking at an overall pattern rather than judging a single number alone.

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Statistical Model

A representation of what usually happens based on past data to help understand or predict what is normal.

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What was compared?

The first key statistical question, which asks what groups, choices, or information are being compared before believing a claim.

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Who's not here?

The second key statistical question, which asks whether the sample or data represents everyone being talked about or if key groups are missing.

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Incorporate "ish"-ness

The third key statistical principle, which means acknowledging uncertainty and variability instead of pretending statistics are perfectly exact.

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Statistical Investigative Cycle

A five-step process represented by PPDAC (Problem, Plan, Data, Analysis, Conclusion) used to answer statistical questions.

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Problem (PPDAC Step 1)

The first step of the statistical investigative cycle, where you formulate the specific question you want to answer.

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Plan (PPDAC Step 2)

The second step of the statistical investigative cycle, where you decide what information you need, how you will get it, and what you will compare.

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Data (PPDAC Step 3)

The third step of the statistical investigative cycle, where you gather and collect the necessary information or numbers.

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Analysis (PPDAC Step 4)

The fourth step of the statistical investigative cycle, where you study the collected data and look for patterns.

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Conclusion (PPDAC Step 5)

The fifth step of the statistical investigative cycle, where you use your analysis to answer your original question.

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Big Bar (Graph Interpretation)

A tall bar on a frequency graph indicating that a specific result or data point happens a lot.

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No Bar (Graph Interpretation)

An absence of a bar on a frequency graph indicating that a specific result or data point is very unusual compared with normal patterns.