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The expected values in a chi-square test are the values you would see if:
AThe null hypothesis is true
BThe alternative is true
CThe sample was doubled
DThe data were discarded
Answer & Solution
Correct answer: A. The null hypothesis is true
1. Every hypothesis test is computed under the assumption that the null holds.
2. The observed values are the data actually collected.
3. The expected values are the values you expect if the null hypothesis is true.
4. Comparing the two is exactly what the chi-square statistic does.
_Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 11 'The Chi-Square Distribution', sections 11.1-11.5_
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