Sometimes you will have something like a topic review quiz that draws a selection of 10 question from a set of 100, but the case we want to consider here is when for each 'question' in the quiz, you have a few different but similar versions of the 'same' question. There are lots of different ways that randomization can be used when building a quiz. You may be able to edit the question and then regrade the quiz to fix the problem (but be very careful editing questions after they were attempted.) Or, you could to go to the Edit quiz page, and set the mark for that question to 0 (zero-weight it). If you find a 'broken' question, there are various options. If any numbers there are small, then investigate that question. Tip: look down the 'Discrimination index' column. Because of that, Moodle will highlight any low values in this column so they stand out. A broken question is not the only thing that might cause this, so you need to go an investigate, but it is a worrying sign. If the number there is small, you may have a problem. This shows up in the 'Discrimination index' column. If you make a mistake when you create a question, for example if you accidentally set the wrong response to be marked correct, what happens then is that the better students who get a higher overall mark are more likely to select the right answer, and get marked wrong. If everything is working well, then what normally happens is that students who got a high mark on the whole quiz are more likely to get each question right. There are lots of highly technical in the Quiz statistics, which is great if you are a data scientist or mathematician, but even if you are not, there is very useful information to help you learn about how well your quiz is helping your students, even if you don't understand all the technicalities. 3.1 Analysis of individual question responses.1.3 Understanding how students are responding to a particular question.1.2 Ensuring that random variants are fair.1 Reasons to look at the statistics report.
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