BSMTHub
IIT Jodhpur · B.S. in Management & Technology · Semester 1

Statistics for Managers

Revision for Statistics for Managers: notes on 12 units, 510 practice questions with explanations, 134 flashcards and 161 common traps, plus timed mock papers marked like the real quiz (+1 correct · −0.25 wrong · 0 blank). Free, and it remembers what you get wrong.

Open SfM in the hub Practise questions

What's covered

  1. Statistics & the vocabulary of data

    What statistics is · Element, variable, observation, dataset · Textbook: Data and Statistics

  2. The four scales of measurement

    The four scales · Cross-sectional and time series · Textbook: Data and Statistics

  3. Sources, samples & analytics

    Sources and types of collection · Population, sample and analytics · Textbook: Data and Statistics · Textbook: Sampling and Sampling Distributions

  4. Summarising data

    Tables and charts, by data type · Cross-tabulation and Simpson's paradox · Practice questions from the lecturer: Chapter 2 · Textbook: Descriptive Statistics: Tabular and Graphical Displays

  5. Measures of location

    The five averages · Percentiles and quartiles · Textbook: Descriptive Statistics: Numerical Measures

  6. Measures of spread & distribution shape

    Measures of spread · Shape, z-scores and the two rules · Outliers, five-number summary and box plots · Practice questions from the lecturer: Chapter 3 · Textbook: Descriptive Statistics: Numerical Measures

  7. Covariance & correlation

    Covariance and correlation · Textbook: Descriptive Statistics: Numerical Measures · Textbook: Discrete Probability Distributions

  8. Probability foundations

    Experiments, sample spaces and counting · The three ways to assign a probability · Textbook: Introduction to Probability

  9. Probability laws & Bayes

    The laws · Bayes' theorem · Practice questions from the lecturer: Chapter 4 · Textbook: Introduction to Probability

  10. Probability distributions

    Random variables and expected value · Binomial, Poisson and the normal · Normal probabilities in practice · From a probability back to a value · The exponential distribution · Case: Specialty Toys — how many to order · Profit scenarios and the service-level order · Case: Go Bananas — setting a shutdown rule · Building a probability table in Excel · Case: McNeil's Auto Mall — staffing with the Poisson · Live Lecture 4: exact vs cumulative, and exam hints · Practice questions from the lecturer: Chapter 5 · Practice questions from the lecturer: Chapter 6 · Textbook: Discrete Probability Distributions · Textbook: Continuous Probability Distributions

  11. Sampling & sampling distributions

    Why we sample · Finite and infinite populations · Point estimation · Drawing a random sample in Excel · Sampling distribution of x̄ and the standard error · The central limit theorem · How close is x̄ to μ? · Sampling distribution of p̂ · Stratified, cluster and systematic sampling · Convenience and judgement sampling · Practice questions from the lecturer (L#20) · Case: Marion Dairies (BlueGurt and StrawGurt) · The Marion Dairies sheet in Excel · Textbook: Sampling and Sampling Distributions

  12. Confidence intervals & sample size

    Why interval estimation: Sahyadri Retail Mart · Margin of error and the interval for μ (σ known) · Discount Sounds: 90%, 95% and 99% intervals · Practice questions from the lecturer: Chapter 8 · Textbook: Interval Estimation

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