Quantitative Methods I Online Platform

Everything for your exam in one place, online and at your own pace: the Weekly Meetings recorded in short clips, a summary of every topic, exam-like questions to practise and past exam questions — each one explained, with a link to the summary you need to study.

• Clips: Short clips from the Weekly Meetings.
• Summaries: The key points of every topic.
• Practice Questions: Exam-like questions to practise.
• Past Exam Questions: Questions from previous exams, sorted by topic.
• Explanations: Every answer explained, with a link to the summary of its topic.

Finished the content of the week with Weekly Meetings or self-study? This training makes you take an exam with exam style questions of this week and previous weeks and then go through the results.

• Running from week 2 to week 7.
• Write a real exam-style exam: Written by your tutor.
• Step-by-step solutions: We guide you through answers in a clear, intuitive way.
• Exam hacks & pitfalls: Learn to avoid classic mistakes.
• Slides included: All content saved in your Success Formula account.

• 💳 Slides available in your Success Formula account
• ✅ Covered by our “satisfied or reimbursed” policy

• Maths
  • Type of functions (overview)
  • Slope & intercept
  • Point-slope formula
  • Linear functions in economics
  • Building a demand function
  • Form & intercept
  • Convex vs concave
  • Sketching a parabola
  • Quadratic formula (PQ & ABC)
  • Graph shifts & transformations
  • Domain & range
  • Rules (roots, fractions, logs)
  • Exercises
• Stats
  • Categorical vs quantitative
  • Categorical data (bar, pie)
  • Histograms: shape, centre, spread
  • Analysing histogram shapes
  • Mean, SD, median, range
  • When to use mean vs median
  • Box plot (worked example)
  • Linear transformations

• Maths
  • Cubic & polynomial functions
  • Power functions (exponent r)
  • Exponent rules
  • Roots as fractional powers
  • Binomial formulas
  • Exponent-rule exercises
  • Exp & log functions
  • Logarithm rules
  • Solving log & exp equations
  • Applied (compound interest)
  • Hard exam question
  • Factorising & expanding
  • Limits via factorising
  • Limit exercise
  • Inverse functions: concept
  • Inverse graphically (mirror in y = x)
  • Inverse of the demand function
• Stats
  • Develop research hypotheses
  • Experiments vs observational studies
  • Within- vs between-subjects designs
  • Comparing groups on a quantitative variable
  • Population vs sample
  • Sampling biases
  • Sampling methods
  • Stratified-sample exercise

• Maths
  • The derivative: slope & difference quotient
  • Worked difference-quotient example
  • Power rule
  • Constant & sum rule
  • Exercises (roots, fractions)
  • Rate of change
  • Max production (economics)
  • Elasticity (price elasticity)
  • Abstract elasticity exam question
• Stats
  • Law of large numbers
  • Independence vs mutually exclusive
  • Basic rules & complement
  • Multiplication & addition rules
  • Marginal, joint, conditional
  • General multiplication rule
  • General addition rule
  • Addition-rule worked example
  • Decision-tree exercise
  • Discrete vs continuous random variables
  • Expected value & variance (discrete)

• Maths
  • Product rule
  • Quotient rule
  • Chain rule
  • Exponentials
  • Logarithms (ln)
  • Combined exercise (product inside ln)
  • ln-division derivative exercise
  • Differentiating the inverse
  • Second derivative
  • Summary of all derivative rules
• Stats
  • Binomial as a model
  • Negative binomial
  • Geometric
  • Binomial or geometric model
  • Normal distribution & 68-95-99.7 rule
  • z-score
  • The z-table
  • Standard normal & standardising
  • z-score exercises (train / height)
  • Binomial approximation to normal

• Maths
  • Finding max/min with the derivative
  • First-derivative test
  • First-order condition
  • Second-derivative test (worked x²eˣ)
  • Applied: max production
  • Where production stops (quadratic formula)
  • Concavity vs convexity
  • Inflexion points
  • Concavity-condition exam Q
  • Counting inflexion points exam Q
  • Increasing/decreasing + convex/concave exam Q
• Stats
  • Sampling distribution & central limit theorem
  • Parameters vs estimates (μ/σ vs ȳ/s)
  • Proportions: p, q, standard error
  • CI concept + margin of error
  • Precision vs certainty
  • Worked CI for a proportion
  • Interpreting a CI
  • Sample-size determination
  • Effect of confidence level on width
  • CI for a mean (t-distribution)
  • Worked CI for a mean
  • Narrowest-CI exam question
  • Sample-size for a mean

• Maths
  • Functions of two variables: Concept
  • Cobb-Douglas function
  • Domain in two variables (circles / ellipses)
  • Domain exercise
  • Level curves: Concept + circle
  • Level curves: Worked example (point E,1)
  • Level curves: Find unknown A
  • Level curves: Exam Q (which transformation changes shape)
  • Partial derivatives: First & higher order
  • Partial derivatives: Exercise
  • Partial elasticity (+ exam Q)
  • Harder partial-elasticity Q (quotient, wrt y)
  • Marginal products; complements vs substitutes
  • Linear approximation / total differential
• Stats
  • Intro: null/alt, court analogy
  • Null/alt, z vs t
  • Setting up hypotheses
  • One- vs two-sided tests
  • When to reject: critical value vs p-value
  • p-value interpretation exam Q
  • Relation with confidence interval
  • Type I / Type II error & power

• Maths
  • First-order conditions
  • Second-order conditions (criterion/Hessian, saddle points)
  • Worked example (find & classify stationary points)
  • Counting stationary points exam Q
  • Convex/concave for two-variable functions
  • Constrained optimisation (substitution)
  • Constrained-optimisation exam Q
• Stats
  • t-table & degrees of freedom (z vs t)
  • Test statistic (z for proportion, t for mean)
  • t-test (Red Bull)
  • t-test (housing deposits)
  • z-test for a proportion (bike GPS)
  • Assumptions (z-test & t-test)
  • Assumptions/conditions for a proportion CI