Depending on whether you are using Classic or New Quiz you can get access to different metrics.

Classic Quiz

To access the statistics/analytics for a Classic Quiz you head to the quiz page and click Quiz Statistics(1) in the right column.

Screenshot of a quiz page.

A summary with high/low/average score, standard deviation and average time is display. You also get a graph showing the percentage distribution of the results. Above these metrics you can see Section Filter(1), Student analysis(2) and Item analysis(3). The section filter allows you to look at a subset of students (a description of sections in Canvas is available here). Student analysis is a download link for a CSV-file with all student responses, awarded points on each question and total score. The Item analysis is a CSV download for data on each question.

Screenshot of quiz stats summary.

The format of exports is CSV. This is a plain text file with regular rows but columns separated by commas, but you can open it in Excel. If some characters (like Å, Ä, Ö) are wrongly displayed or if everything seems to be placed in one single column please check out the article Fix characters and columns in CSV files for Excel.

The Student analysis includes the columns

name: First and last name
id: Numeric Canvas ID (internal)
sis_id: Student Ladok identifier
section: Section name
section_id: Section numeric Canvas ID (internal)
section_sis_id: Section Ladok identifier
submitted: Timestamp for student submission
attempt: Attempt number (incremental for each student)
Student response and points for each question
n correct: Number of correct responses for the student
n incorrect: Number of incorrect responses for the student
score: Student's total score on the quiz

Screenshot of Excel spreadsheet.

As you can se in the example above, multiple students have multiple rows (row 2 & 17, 4-8) in the file since they have made more than one attempt. The attempt number for each student can be seen in the H column. Cell I1 show the first question and J1 the max points for that question. The rest of the rows for those columns are student responses and awarded points.

The Item analysis show data for each question rather than each student. However it has some limitations, the main ones being:

Currently analysis is designed to work with quizzes that deliver the same questions to all
students. Therefore, if you generate the item analysis CSV for quizzes that pull from a question
group, the CSV will generate a line representing each version of the quiz.
The Quiz Item Analysis report currently only supports Multiple Choice and True/False quiz
questions

Read more in the Quiz Item Analysis PDF from Instructure.

Below the Quiz summary graph you are shown stats for each question including number of attempts, responses, percentage of students answering correctly and discrimination index (for the question types Multiple Choice and True/False). Discrimination Index (-1,1) is a metric that provides a measure of how well a single question can tell the difference (or discriminate) between students who do well on a quiz and those who do not. A negative discrimination index can be interpreted as low‐performing students are likely to get the question correct.

Screenshot of question stats.

New Quiz

To access the statistics/analytics for New Quizzes you must first enter the quiz tool and then switch to the Reports(1) tab in the top menu. Then click Quiz and Item Analysis(2). To export the Quiz and Item Analysis report, click the Export CSV button.

Screenshot showing the Reports tab in New Quizzes.

Similar to Classic Quiz, you are first shown a couple of metrics and a percentage distribution of student scores.

High score
Low score
Mean score
Standard deviation
Mean elapsed time
Cronbach's Alpha: [0,1] A metric describing internal consistency for the quiz, to what extent the questions are testing the same construct. Read more at the wiki for Cronbach's_alpha.

Screenshot showing the stats summary for New Quizzes.

Below the graph you get stats for each question, including

Number of respondents per choice (where applicable)
Performance by quintile
Difficulty index: [0,1] Partition of students getting the question right.
Discrimination index: (-1, 1) A metric that provides a measure of how well a single question can tell the difference (or discriminate) between students who do well on a quiz and those who do not. A negative discrimination index can be interpreted as low‐performing students are likely to get the question correct.
Point-Biserial Correlation Coefficient (RPB): [0,1] Shows the correlation between the question and the total score.
Mean score

Screenshot showing question stats in New Quizzes.

Note!

There is no export of student results from New Quizzes available yet.