Core Courses

Stat 114 Descriptive Statistics

Statistics; Statistical measurement; Statistical notations; collection, organization and presentation of data; measures of central tendency, location, dispersion, skewness, kurtosis; letter values, boxplots and stem-and-leaf display; measures of association and relationship; rates, ratios, and proportions; construction of index numbers and indicators.

Students who have not taken pre-calculus in Senior High School should take the non-credit course Math 20 in the same semester or take the validation exam for Math 20. This requirement is waived for students with pre-calculus in Senior High School or those who have passed the Advanced Placement Examination (APE)

3 hours, 3 units

Stat 115 basic Statistical Methods

Computer-assisted Statistical analysis on the following: tests for means; tests for proportions; tests for independence; simple linear regression; analysis of variance; forecasting using classical techniques.

Prereq: Stat 114/101/equiv. 3 hours, 3 units

Stat 117 Mathematics for Statistics

Principles of logic; methods of proof; fields, sigma fields, and sequences of sets; the real number system; sequences & series; combinatorial analysis.

Prereq: Math 20/equiv. 3 hours, 3 units

Stat 121 Probability Theory I

Elements of probability; random variables; discrete and continuous random variables; probability distributions; special distributions; mathematical expectations; functions of a random variable.

Prereq: Math 21, Stat 117/equiv.

Coreq: Math 22. 3 hours, 3 units

Stat 122 Probability Theory II

Joint, marginal and conditional distributions; independence of several random variables; distributions and expectations of functions of random variables; characterization of F, t, and Chi-square distributions; limit theorems.

Prereq: Stat 121.

Coreq: Math 23. 3 hours, 3 units

Stat 124 Introduction to Programming

Introduction to microcomputer and operating systems; principles of programming; programming using a high-level computer language (e.g., PASCAL).

Prereq: Stat 114/101/equiv. 3 hours, 3 units

Stat 125 Applications Software & Software Packages

Use of Statistical software packages (e.g., SAS, SPSS) for database management & basic statistical analysis.

Prereq: Stat 115/101/equiv, Stat 124/equiv. 3 hours, 3 units

Stat 131 Parametric Statistical Inference

Population and sample; Statistics and sampling distributions; point and interval estimation; Statistical hypothesis testing; inference based on the normal distribution and applications of z, t, Chi-square, and F distribution.

Prereq: Stat 122, Math 23. 4 hours, 4 units

Stat 132 Nonparametric Statistical Inference

Levels of measurement; goodness of fit tests; sign and signed rank tests; distribution tests; association tests; tests for independence.

Prereq: Stat 131, Stat 125. 3 hours, 3 units

Stat 133 Bayesian Statistical Inference

Elements of Bayesian probability inference; assessment of prior likelihood and posterior distributions; Bayesian estimation and hypothesis testing; predictive distribution and asymptotics; Bayesian Hierarchical Models; introduction to Empirical Bayes; use of Statistical software.

Prereq: Stat 131, Stat 124. 3 hours, 3 units

Stat 134 Introduction to Scientific Writing for Statistics

Principles and methods in scientific writing in Statistics.

Prereq: Junior Standing (must have passed at least 60 credited units in the program)

3 hours, 3 units

Stat 135 Matrix Theory for Statistics

Matrix operations; properties of matrices; special matrices; matrix calculus; determinants; eigenvalues and eigenvectors; linear systems; vector spaces; use of software applications.

Prereq: Math 21, Stat 125. 3 hours, 3 units

Stat 136 Introduction to Regression Analysis

Linear regression model; model selection; regression diagnostics; use of dummy variables; remedial measures.

Prereq: Stat 131, Stat 135. 3 hours, 3 units

Stat 138 Introduction to Sampling Designs

Probability and non-probability sampling techniques; complex surveys; variance estimation; treatment of missing data; applications to various contexts.

Prereq: Stat 131, Stat 125. 4 hours, 4 units

Stat 142 Introduction to Computational Statistics

Contemporary themes in computational Statistics; Survey of computationally-intensive methods in Statistics; Advanced data management; SQL programming; Resampling methods; Simulations; Macro programming.

Prereq: Stat 136. 3 hours, 3 units

Stat 143 Survey Operations

Research process; techniques of data collection; principles of questionnaire design; data coding and encoding; data quality control; presentation of research findings.

Prereq: Stat 134, Stat 138, Senior Standing (needs to take no more than 19 credited units in the program). 3 hours, 3 units

Stat 145 Introduction to Time Series Analysis & Forecasting

Classical methods; ARIMA models; Box- Jenkins method; intervention analysis; GARCH Models; regression with time series data; applications.

Prereq: Stat 136. 3 hours, 3 units

Stat 146 Introduction to Exploratory Data Analysis

Displaying and summarizing batches; re-expressing data; median polish; robust and resistant measures; fitting resistant lines.

Coreq: Stat 136. 3 hours, 3 units

Stat 147 Introduction to Multivariate Analysis

Multivariate normal distribution; inference on mean vector and dispersion matrices; principal component analysis; factor analysis; cluster analysis; discriminant analysis; canonical correlation analysis; correspondence analysis and perceptual mapping; multivariate analysis of variance (MANOVA); applications to various contexts.

Prereq: Stat 136. 4 hours, 4 units

Stat 148 Introduction to Experimental Designs

Principles of experimentation; completely randomized design; randomized complete block design; Latin-square design; factorial experiments; confounding; incomplete block design; analysis of covariance; nested and split-plot designs; response surface methodology; applications to various contexts.

Prereq: Stat 136. 4 hours, 4 units

Stat 149 Introduction to Categorical Data Analysis

Categorical data; cross-classification tables; analysis using loglinear, logistic and logit models.

Prereq: Stat 136. 3 hours, 3 units

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