ADMS 2320: TERM TEST #1 PREP · Fall 2026

Chapter 1: What is Statistics?
5 Topics | 2 Quizzes
Start Here!
Populations vs Samples
Parameters vs Statistics
Descriptive vs Inferential Statistics
Confidence vs Significance Levels
Chapter 01 Quiz
Chapter 01 Quiz (with videos solutions)_
Chapter 2: Graphical Descriptive Techniques I
5 Topics | 2 Quizzes
Types of Data
Calculations for Types of Data
Heirarchy of Data
Frequency and Relative Frequency Distributions
Bar Charts and Pie Charts
Chapter 02 Quiz
Chapter 02 Quiz (with video solutions)
Chapter 3: Graphical Descriptive Techniques II
5 Topics | 2 Quizzes
Histograms: Graphing Interval Data
Histograms: Number of Classes & Sturge’s Formula
Histograms: Class Interval Width & Drawing the Histogram
Histograms: Describing the Shape of the Distribution
Stem and Leaf Display
Chapter 03 Quiz
Chapter 03 Quiz (with video solutions)
Chapter 4: Numerical Descriptive Techniques
23 Topics | 2 Quizzes
Measures of Central Tendency
The Mean
The Median
The Mode
When to Use the Median
When to Use the Mode
Why the Mean is Best
The Geometric Mean (Part 1)
The Geometric Mean (Part 2)
Why Measure Variability
The Range
Deviations from the Mean
Variance (To the Rescue!)
Standard Deviation
Empirical Rule
Chebysheff’s Theorem (Part 1)
Chebysheff’s Theorem (Part 2)
Mean-Absolute-Deviation (M.A.D.)
Measures of Variation | Recap
Location of a Percentile
Percentiles
Covariance
Coefficient of Correlation
Chapter 04 Quiz
Chapter 04 Quiz (with video solutions)
Chapter 6: Probability
9 Topics | 2 Quizzes
Looking Ahead | Chapter 6 vs Upcoming Probability Chapters
Q1 | Relative Frequency Approach
Q1 | Joint + Marginal Tables
Q2 | Solving Probability Word Problems
Q3 | Another Word Problem
Q4 | Bayes’ Theorem
Q5 | More Bayes’ Theorem
Focus on Conditional Probabilities
Past Term Test Question
Chapter 06 Quiz
Chapter 06 Quiz (with video solutions)
Last Year’s Test | Term Test #1
13 Topics
Q1.1) Bar Chart Data
Q1.2) Types of Data
Q1.3a) Histogram Class Intervals
Q1.3b) Histogram Intervals
Q2a) Measures of Central Location
Q2b) Mean Absolute Deviation M.A.D.
Q2c) Interquartile Range
Q2d) Standard Deviation
Q3) Setting up the Probability Solution
Q3a) Mutually Exclusive Probabilities
Q3b) Conditional Probability
Q3c) Joint Probability
Q3d) Test for Independent Events
Term Test #1 – 2021 Winter
15 Topics
Q1.Ia) Missing Data
Q1.Ib) Sample M.A.D.
Q1.II) Upper Quartile
Q1.III) Empirical Rule
Q2a) Conditional Probability
Q2b) Conditional Probability
Q2c) Addition Rule
Q2d) Test of Independence
Q2e) Bayes’ Theorem
Q2f) Joint Probability
Q3a) Interquartile Range
Q3b) Mean & Geometric Mean
Q3c) Graphing Numerical Data
Q3d) Median & Percent
Q3e) Mode
Term Test #1 – 2019 Winter
9 Topics
Q1a-i) Variance of X, Variance of Y
Q1a-ii) Standard Deviation of X, Standard Deviation of Y
Q1a-iii) Coefficient of Variation of X, Coefficient of Variation of Y
Q1a-iv) Comparing Variability of X and Y
Q1b-i) Covariance
Q1b-ii) Coefficient of Correlation
Q1b-iii) Interpretation of the Coefficient of Correlation
Q1c-i) Location of a Percentile
Q1c-ii) Percentile Value
Term Test #1 – 2018 Summer
18 Topics
Q1) Start Here
Q1a) The Mean
Q1b) The Median
Q1c) The Mode
Q1d) The Range
Q1e) The Variance
Q1f) The Standard Deviation
Q1g) The Coefficient of Variation
Q1h) The Mean Absolute Deviation
Q1i) The Inter Quartile Range
Q2) How to Solve Chapter 6 Word Problems
Q2) Setup
Q2a) P(F or S)
Q2b) P(F | S)
Q2c) P(NS | NF)
Q2d) P(NF and S)
Q2e) P(NF | NS)
Q2f) Test of Independence
Term Test #1 – 2017 Fall
12 Topics
Q1) Start Here
Q1a) Percentile
Q1b) Mean Absolute Deviation
Q1c) Covariance
Q1d) Coefficient of Correlation
Q1e) Coefficient of Variation
Q2) Start Here
Q2a) Test of Independent Events
Q2b) Marginal Probability
Q2c) Addition Rule, Union of Events
Q2d) Joint Probability
Q2e) Conditional Probability
Term Test #1 – 2017 Summer
15 Topics
Q1a) Location of a Percentile
Q1b) Percentile Value
Q1c) Mean Absolute Deviation (MAD)
Q1d) Covariance
Q1e) Coefficient of Correlation
Q1f) The Median
Q1g) The Mode
Q2) Setting up the Probability Solution
Q2) Probability Tree
Q2) Probability Table
Q2a) Marginal Probability
Q2c) Additon Rule – Union of Events
Q2d) Conditional Probability
Q2e) Conditional Probability
Q2f) Test of Independence + More
Term Test #1 – 2016 Fall
18 Topics
Q1) Summation and Order of Operations
Q1a) The Mean
Q1b) The Median
Q1c) The Mode
Q1d) The Range
Q1e) The Variance
Q1f) The Standard Deviation
Q1g) The Coefficient of Variation
Q1h) The Sum of Deviations From the Mean
Q2) Start Here
Q2) How to Solve Probability Word Problems
Q2) Identifying Conditional Probabilities
Q2a) Probabilitiy Trees and Probability Tables
Q2b) Classical, Relative, and Subjective Probabilities
Q2c) Marginal Probability
Q2d) Joint probability
Q2e) Conditional Probability
Q2f) Compliment Rule
BONUS >> Term Test #1 – 2022 Summer
13 Topics
Q1a) Mode
Q1b) Mean Absolute Deviation
Q1c) Location of a Percentile, Percentile Value
Q1d) Histogram Interpretation
Q2a) Coefficient of Correlation
Q2b) Geometric Mean
Q2c) Coefficient of Variation
Q2d) Empirical Rule
Q3 Setup
Q3a) Conditional Probability (Baye’s?)
Q3b) Conditional Probability (Baye’s?)
Q3c) Addtion Rule
Q3d) Test of Independence / Contional Probability
Term Test #1 – 2025 Fall: Written Solutions (PDF)
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Q2d) Standard Deviation

ADMS 2320: TERM TEST #1 PREP · Fall 2026 Last Year’s Test | Term Test #1 Q2d) Standard Deviation

Correction: where the video says “covariance”, it means the coefficient of variation (CV). The numbers and the answer are right: CV for Toronto = 0.956 and CV for London = 0.6229, so Toronto has relatively more variation.

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PDF: Term Test 1 - 2022 Fall

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