FAQ: Linear Search: Conceptual - Average Case Performance


This community-built FAQ covers the “Average Case Performance” exercise from the lesson “Linear Search: Conceptual”.

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This exercise can be found in the following Codecademy content:

Search Algorithms

FAQs on the exercise Average Case Performance

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“Based on Big O simplification rules, which you can learn about in the Big O lesson, we simplify the time complexity in this case to O(N).”

Can you provide a link to the ‘Big O lesson’?


I’m doing this lesson and noticed that the formula is not shown, please either post it up here (while it gets fixed) or fix it for the future peoples.


The average case performance is the average number of comparisons. To calculate this, you use this formula:

Therefore, the average case performance for linear search is:



Hi! I’m wondering if they expected you to complete that lesson since that, as well as this, lesson is in the computer science path and comes before this lesson.
This is a Pro course, so be prepared if you’re not signed up for pro.*
Here is the link https://www.codecademy.com/paths/computer-science/tracks/cspath-asymptotic-notation/modules/cspath-asymptotic-notation/articles/cspath-why-asymptotic-notation *


Yeah, I get the alt image too. What is the formula? There is no report a bug option either within the lesson.

EDIT: Found the report Bug under get help tab.


same here on the lack of an img file providing an actual formula, which is something i’m actually quite interested in learning, just google ‘average case performance of linear search algorithm’ here’s a link to StackExchange that helped me


This is technical, and tbh, pretty much over my head, but I get the gist and sort of understand the math; your average case, one might say. A broader view of the suggested concept so we see the big picture…