2024-02-14 10:31:05
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.obsidian/workspace.json
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.obsidian/workspace.json
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"UNB/Year 4/Semester 2/STAT2593/2024-02-14.md",
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"UNB/Year 4/Semester 2/STAT2593/2024-02-12.md",
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"UNB/Year 4/Semester 2/CS3873/2024-02-02.md",
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"UNB/Year 4/Semester 2/CS3873/2024-02-02.md",
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"UNB/Year 4/Semester 2/CS2333/2024-02-02.md",
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"UNB/Year 4/Semester 2/CS2333/2024-02-02.md",
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"UNB/Year 4/Semester 2/CS2333/2024-01-31.md",
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"UNB/Year 4/Semester 2/CS2333/2024-01-31.md",
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"UNB/Year 4/Semester 2/CS3873/2024-01-31.md",
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"gcm-diagnose.log",
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"gcm-diagnose.log",
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"Semester 2/STAT2593/Untitled",
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"Semester 2/STAT2593/Untitled",
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"Semester 2/STAT2593",
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"Semester 2/STAT2593",
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UNB/Year 4/Semester 2/STAT2593/2024-02-14.md
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UNB/Year 4/Semester 2/STAT2593/2024-02-14.md
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Lecture Topic: Midterm Review 1
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Will be Wednesday, Feb 21, 2024
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Covers Lectures 1-13, Chapters 1-3
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All multiple choice, 18-20 Questions for 50 mins, 16-17 as it is 45 minutes
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45 Minutes, Show up early
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Choose closest answer if answer does not line up
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YOU NEED A CALCULATOR FOR THIS
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For your formula sheet, you can put anything on it, 1 regular size sheet (11x8.5), both sides are allowed to be written on.
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Questions from base theorem will likely take longer than others, so look for questions that are easier to solve first
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## Basic Statistics
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Mean - $\frac{\sum x}{n}$
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Median - Middle Most value, even is the average of two middle values
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Mode - Most frequent value
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Quartile
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- Q1 - 25%, In between 0 and median
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- Q2 = Median
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- Q3 = 75% In Between median and 100
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- Q4 = 100%
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## Variance
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IQR - Inter quartile range - Q3 - Q1
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Variance
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- $\frac{1}{n-1} \sum (x_i - x)^2$ or $\frac{\sum(x_i - x)^2}{n-1}$
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- $\frac{1}{n-1} \sum (x_i^2) - nx^2$ Ask about this, didn't quite catch on board
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- must be positive
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std deviation - Square root of variance, $\sqrt{V(x)}$
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Upper and lower fence - Outlier limits
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- UF = Q3 + 15 IQR Ask about this, could have been 1 times 5, board was messy
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- LF = Q1- 15 IQR Ask about this, could have been 1 times 5, board was messy
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Z score - $\frac{x - \mu}{\sigma}$
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Coefficient of variation / CV = $\frac{\mu}{\sigma} * 100$
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If sigma is not know, replace with S, sample standard deviation
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