Topics
Click to jump to Videos and resources on the topic
Univariate Data
Bivariate Data
Regression
Time Series
Recursion and Financial - Growth & Decay
Recursion and Financial - Loans & Annuities
Networks and Decision Making
Click to jump to Videos and resources on the topic
Univariate Data
Bivariate Data
Regression
Time Series
Recursion and Financial - Growth & Decay
Recursion and Financial - Loans & Annuities
Networks and Decision Making
Univariate Data
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Data Types, Representing Categorical Data
Dot Plots, Stem Plots, Median, IQR, Range
Parallel Box Plots
Normal Distribution
Population & Samples
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Displaying Numerical Data - Histogram, Log scale
Lesson Part 1 Lesson Part 2
Five-Figure Summary, Box Plots, Outliers
Centre & Spread - mean, standard deviation
The notes have an error in the example involving skew.
The median should be 700 as per the video.
Standard Scores
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Bivariate Data
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Response and Explanatory Variables
Associations - Numerical & Categorical Variables
Correlation Coefficient, Coefficient of Determination
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Associations Between Categorical Variables
Associations between Numerical Variables
Which Graph to Use?
No video for this lesson.
The document gives the information needed.
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Regression
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Least-Squares Regression
Transforming data
Reciprocal Transformation
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Regression Analysis
2019 Recordings
Log Transformation
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Time Series
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Time Series - definitions, patterns
Smoothing - Moving median
Trend Line & Forecasting
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Smoothing - Moving mean
Seasonal Indexes
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Recursion & Financial - Growth & Decay
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Sequences, Recurrence Relations
Rule for the nth Term - Linear Growth & Decay
Rule for the nth Term - Geometric Growth & Decay
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Linear Growth & Decay
Geometric Growth & Decay
Nominal & Effective Interest Rates
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Recursion & Financial - Loans & Annuities
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Combining Geometric and Linear Recurrence
Amortisation Tables
Interest-Only Loans
Interest-only Loans & Annuities
Perpetuities
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Reducing-Balance Loans
Financial Solver
Annuities
Investments with Regular Deposits
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Networks and Decision Making
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Graphs and Networks
Travelling
Trees
Matching and Allocation
Scheduling Problems
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Adjacency Matrices
Weighted Graphs and Networks
Flow Problems
Precedence Tables and Activity Networks
Crashing
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