odness-of-fit test where all assumptions were met yielded the chi-square test statistic χ2=1.92 and a corresponding p-value of 0.75. The researcher interpreted the p-value as a 0.75 probability of observing a test statistic of χ2=1.92 or larger. What is wrong with the researcher’s interpretation?

hello the options related to your question is missing attached below are the options

answer : The researcher did not state that the p-value is conditional on the null hypothesis being true ( A )

Step-by-step explanation:

What is wrong with the researcher's interpretation is that the researcher did not state that the p-value is conditional on the null hypothesis being true.

The P-value is a required value when either rejecting or accepting the null hypothesis. and the researcher did not add the clause that the probability of getting a statistic > 1.92 provided the null hypothesis is assumed to be true