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Given below are two statements. In the light of the above statements, choose the most appropriate answer from the options given below.

Statement I:T-tests are appropriate only when the dependent variables being measured are continuous.
Statement II:The chi-square statistic allows us to test hypotheses using both continuous and ordinal data.
ABoth Statement I and Statement II are true
BBoth Statement I and Statement II are false
CStatement I is true but Statement II is false ✓ Correct
DStatement I is false but Statement II is true
Correct answer: (C) Statement I is true but Statement II is false
Explanation

t-tests do require a continuous dependent variable, so Statement 1 is true, while chi-square works on categorical data, not continuous, so Statement 2 is false.

The t-test compares means, which presuppose interval or ratio measurement.

The chi-square test analyses frequencies in nominal or ordinal categories.

Statement 2 wrongly extends chi-square to continuous data.

Feeding continuous scores directly into chi-square violates its categorical basis.

Both are inferential tests but rest on different measurement assumptions.

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