A χ2 goodness-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?

The researcher did not state that the p-value is conditional on the null hypothesis being true.

Step-by-step explanation:

The p-value or the assumed value represent the probability in which the test results that are received would be atleast extreme in that the null hypothesis would be correct

Here the wrong thing would be that researcher would not stated the p value is in conditional form based on the null hypothesis being true

Therefore the correct option is A.

2 over 5

step-by-step explanation:

the 2: 3 ratio is the length of the ac segment to the cb segment total length. this implies that the ratio between segment ac length and segment ab length is 2: 5. point c is 2/5 from a to b, so the required fraction is 2/5.