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Water and Carbon Cycles

Spearman's Rank, Chi-Square and Data Analysis

  • 2 things to know
  • Component 1

Overview

Recall questions on what Spearman's rank measures, its significance and sign, the purpose of the chi-square test with observed and expected frequencies and significance, and on analysing water and carbon cycle field data for patterns and anomalies.

What you need to know

Answer each one before you reveal it.

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Numbers

How is the significance of a Spearman's rank result determined?

Key term

How should patterns and anomalies in field data be explained?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What does Spearman's rank correlation coefficient measure?

    Model answer

    The strength and direction of a monotonic relationship between two ranked variables.

  2. 2

    How is the significance of a Spearman's rank result determined?

    Model answer

    By comparing the calculated coefficient to critical values at a chosen significance level (e.g. 0.05) for the sample size.

  3. 3

    What do positive and negative Spearman's rank correlation coefficients indicate?

    Model answer

    A positive coefficient indicates both variables increase together; a negative coefficient indicates one increases as the other decreases.

  4. 4

    What is the purpose of the Chi-square test?

    Model answer

    To determine whether observed frequencies differ significantly from expected frequencies.

  5. 5

    What are observed frequencies in a Chi-square test?

    Model answer

    The actual frequencies recorded from data collection or observation.

  6. 6

    What are expected frequencies in a Chi-square test?

    Model answer

    The frequencies that would be expected if there were no significant difference or relationship between variables.

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