Loyola University Chicago

Mathematics and Statistics

STAT 103: Fundamentals of Statistics

Credit Hours



None. Fulfills CORE Quantitative Analysis requirement.


An introduction to statistical reasoning. Students learn how statistics has helped to solve major problems in economics, education, genetics, medicine, physics, political science, and psychology. Topics include: design of experiments, descriptive statistics, mean and standard deviation, the normal distribution, the binomial distribution, correlation and regression, sampling, estimation, and testing of hypothesis.


R. N. Gould, C. N Ryan, Introductory Statistics: Exploring the World Through Data (packaged with MyStatLab)(Loyola U Chicago Custom), Pearson (2015). ISBN: 978-1-323-27607-5.

Common Syllabus for STAT 103

  • Introduction to Data, Chapters 1 and 2 [1 week]

    • Types of Data, experiments, sampling

    • Presenting Data: Organizing and graphing data

  • Summaries of Center and Variation, Chapter 3 [1 week]

    • Mean, Median, Standard Deviation, 5 number summary, Percentiles

  • Probability, Chapter 5 [1 week]

    • Independence, Conditional Probability

  • Binomial and Normal Random Variables, Chapter 6 [1 week]

    • Areas as probability

    • Normal Approximation to Binomial

  • Estimation of Population Proportions, Chapter 7 [2 weeks]

    • Confidence intervals for proportions

    • Comparing two proportions

  • Hypothesis Testing for Proportions, Chapter 8 [2 weeks]

    • Ingredients and logic behind hypothesis testing

    • Testing one and two proportions

  • Inference for Population Means, Chapter 9 [2 weeks]

    • Testing one and two means

  • Linear Regression Analysis, Chapter 4 [1 week]

    • Scatter Plots

    • Correlation

  • Categorical variables, Chapter 10 (optional, time permitting) [1 week]

    • One and Two-way tables

    • χ2 tests

  • Inference for Regression, Chapter 14 (optional, time permitting) [1 week]

    • Hypothesis testing correlation

    • Prediction