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  1. To do this, you will need to know how to describe and interpret any patterns you observe in the context of your data investigation in a written report that is both systematic and concise.

  2. variables with chi-square distributions with respective degrees of freedom 1 and 2. Arises frequently as the null distribution of a test statistic, most notably in the analysis of variance …

  3. Inference Table: ... Is it a Test? /What Type of Test? Yes/No Question: Do that data provide...? Is there convincing evidence...? Do we have evidence...? ... *Note: A question may only ask you …

  4. Year 11 - General Math 2023 - AoS 1: Data Analysis, Probability ...

    Chapter 1: Investigating and Comparing Data Distributions

  5. ull hypothesis, with the observed data. We do so by comparing the probability distribution of the test statistic T(X1; ;Xn) with its observed value tobs = T(xobs), assuming H0 to be true. As

  6. Ch 2 - Investigating and comparing data distributions

    Study with Quizlet and memorize flashcards containing terms like Types of data, Displaying categorical data, Frequency table and more.

  7. Investigating and comparing data distributions - Maths

    Find topic revision, diagnostic quizzes, extended response questions, past papers, videos and worked solutions for Investigating and comparing data distributions.

  8. General unit 1 notes - UNIT 1 AOS 1: INVESTIGATING AND COMPARING DATA ...

    UNIT 1 AOS 1: INVESTIGATING AND COMPARING DATA DISTRIBUTIONS. nominal data: possible values have no particular order. ordinal data: possible values can be ranked in order. …

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    • A histogram is an appropriate display for a data distribution when there are a medium to large number of data values, and technology is used. The characteristics of a data distribution …

    • AP® Statistics Cheat Sheet (Free PDF) - Unit Wise | Examples

      Sep 23, 2024 · Explore a detailed AP Statistics cheat sheet on examples.com, covering key concepts like probability, sampling distributions, and regression models for exam success.

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