Statistics and Probability

ENBE600035

Prerequisites

–

Course Type

Compulsory

Credit Hours

6

Course Learning Outcomes

  • Handle quantitative data and information from the descriptive stage, including collection, organization, and presentation.
  • Perform inductive analysis, including forecasting and drawing conclusions based on variable relationships.
  • Utilize quantitative data for informed decision-making.

Course Content / Syllabus

  • Introduction to Statistics for Engineering Studies

    • Role of statistics in engineering
    • Overview of statistical tools and techniques

  • Probability Theory

    • Basic concepts of probability
    • Applications of probability in engineering contexts

  • Basic Concepts and Definitions

    • Key statistical terms and definitions
    • Understanding data types and measurements

  • Probability Distributions

    • Common probability distributions (e.g., normal, binomial, Poisson)
    • Applications of distributions in problem-solving

  • Sampling

    • Techniques for data sampling
    • Sampling distributions and their importance

  • Estimation

    • Point estimation and interval estimation
    • Confidence intervals for means and proportions

  • Hypothesis Testing

    • Fundamentals of hypothesis testing
    • Steps in conducting hypothesis tests

  • Hypothesis Test: 1 Sample at an Average Value

    • Testing hypotheses for single-sample mean
    • Interpretation of results

  • Regression

    • Introduction to regression analysis
    • Simple linear regression and its applications

Recommended References

  1. Harinaldi, Prinsip-prinsip Statistik Untuk Teknik dan Sains, Erlangga, 2006.
  2. Montgomery, D. C., & Runger, G. C., Applied Statistics and Probability for Engineers, John Wiley & Sons, 2002.