Using the Chi-Squared Test

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Last updated 7:47 AM on 3/23/26
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9 Terms

1
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When should you use the chi-squared test in biology?

  • When you have categorical data (counting frequencies of individuals in different groups, like phenotypes).

  • When you want to compare observed frequencies against expected frequencies (e.g., testing if a genetic cross fits a 9:3:3:1 ratio).

2
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What are the conditions required to use the chi-squared test?

  • The sample size must be relatively large (usually >20).

  • The data must be discrete/categorical (counted in whole numbers, not percentages or continuous measurements).

  • The expected frequency in any single category should be strictly greater than 5.

3
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What is the standard null hypothesis (H0) for a chi-squared test in genetics?

"There is no significant difference between the observed and expected frequencies of phenotypes. Any difference is purely due to chance."

4
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How do you calculate the degrees of freedom (df) for a chi-squared test?

  • df = n - 1

  • Where n is the number of categories (or possible phenotypes).

  • Example: If a cross produces 4 different phenotypes, df = 4-1=3.

5
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At what probability level do biologists usually look up the critical value?

  • At p = 0.05 (the 5% significance level).

  • This means there is a 5% probability that the difference between observed and expected results is simply due to chance.

6
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What is your conclusion if your calculated chi2 value is GREATER than or equal to the critical value?

  • The difference is significant.

  • You reject the null hypothesis.

  • The results do not fit the expected ratio (this could indicate that genes are linked or epistasis is occurring).

7
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What is your conclusion if your calculated chi2 value is LESS than the critical value?

  • The difference is not significant.

  • You accept the null hypothesis.

  • Any difference is just due to chance, and the data fits the expected ratio.

8
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A genetic cross between two heterozygous plants produces offspring with three different flower colours: red, pink, and white. Calculate the degrees of freedom for a chi-squared test on these data. (1 mark)

Answer: df = 2 (Because there are 3 categories/phenotypes, and 3 - 1 = 2).

9
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Question: In a monohybrid cross of two heterozygous mice, the expected ratio of black to brown fur is 3:1. If exactly 120 offspring are produced in total, calculate the expected frequency for brown mice. (2 marks)

Answer: 1. The total ratio parts = 3 + 1 = 4. 2. 120 / 4 = 30. 3. Therefore, the expected frequency for the recessive brown mice (the "1" in the ratio) is 30.

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