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Geographical Skills

Chi-square and significance testing

  • 3 things to know
  • All three components

Overview

Chi-square formula and null hypothesis.

What you need to know

Answer each one before you reveal it.

Your recallNot started
Key term

What does the chi-square test compare?

Key term

State the chi-square formula.

Numbers

For observed values of 30 and 20 against expected values of 25 and 25, calculate chi-square.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What does the chi-square test compare?

    Model answer

    Chi-square compares observed frequencies with the frequencies expected if there were no pattern. The test shows whether the difference is greater than chance would produce.

  2. 2

    State the chi-square formula.

    Model answer

    Chi-square is the sum of the squared difference between observed and expected, divided by expected, for every category.

  3. 3

    For observed values of 30 and 20 against expected values of 25 and 25, calculate chi-square.

    Model answer

    Each category contributes 25 divided by 25, which is 1. The total chi-square value is 2.

  4. 4

    How are degrees of freedom found for a chi-square goodness-of-fit test?

    Model answer

    Degrees of freedom equal the number of categories minus one. Two categories therefore give one degree of freedom.

  5. 5

    With one degree of freedom, what is the critical chi-square value at the 0.05 level?

    Model answer

    The critical value is 3.84. A calculated value below that is not significant at the 95% level.

  6. 6

    Is a calculated chi-square of 2 with one degree of freedom significant at the 0.05 level?

    Model answer

    A value of 2 falls below the critical value of 3.84, so the result is not significant. The difference from the expected pattern could reasonably have arisen by chance.

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