A chi-squared goodness-of-fit test is always a two-tailed test.

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A chi-squared goodness-of-fit test can be either one-tailed or two-tailed, depending on the research question and the hypotheses being tested. A one-tailed test is used when the researcher has a specific directional prediction (e.g., the observed frequencies will be significantly higher than expected), while a two-tailed test is used when the researcher does not have a specific directional prediction (e.g., the observed frequencies will be significantly different from expected).

A Chi-Squared Goodness-Of-Fit Test Is Always a Two-Tailed Test