## BS Statistics

The Bachelor of Science in Statistics (BS STAT) is a four-year degree program with a total of 152 academic units in its curriculum which includes courses in Statistics, Math, Computer Science. The rest of the courses include legislated, foundation and General Education courses.

- New freshman students are admitted to the programs through the UPCAT
- An undergraduate student of UPLB who wishes to shift to the program must apply in writing to the Secretary of the College of Arts and Sciences
- Non-UPLB students wishing to enter the program by transfer must apply in writing to the University Registrar
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#### Course Description

Course Flowchart

Course Brochure

COURSE | COURSE TITLE | DESCRIPTION |
---|---|---|

STAT 1 | Elementary Statistics | Basic statistical concepts, frequency tables, summary measures, probability, sampling, estimation, testing of hypothesis, analysis of variance, regression and correlation, goodness-of-fit-tests and test of independence |

STAT 101 | Statistical Methods | Analysis of measurements and discrete data; some nonparametric methods; simple linear regression and correlation analysis; analysis of variance and covariance |

STAT 135 | Logic and Matrix Algebra in Statistics | Basic concepts and methods in logic and matrix algebra useful in Statistics |

STAT 144 | Introductory Statistical Theory I | Probability models, operations on probability, random variables and random vectors; mathematical expectations; sampling from a probability distribution; statistical inference |

STAT 145 | Introductory Statistical Theory II | Discrete and Continuous Probability Models; Generating Functions; Functions of Random Variables and Random Vectors; Sampling from Normal Populations; Large- sample Theory |

STAT 146 | Introductory Statistical Theory III | Estimation; Testing of hypothesis and common parametric tests |

STAT 147 | Introduction to the Theory of Nonparametric Statistics | Development of point and interval estimates and formulation of tests of hypothesis based on distribution-free statistics |

STAT 151 | Applied Regression and Correlation | Linear regression; correlation analysis; methods of model selection |

STAT 156 | Introductory Time Series Analysis | Approaches to time series analysis; autocovariance and autocorrelation functions; linear stationary and non-stationary processes; forecasting, modelling and diagnostic checking; seasonal time series. |

STAT 162 | Experimental Designs I | Principles of experimental design; analysis of completely randomized design; randomized complete block design, latin square design, factorial experiments, split-plot design, treatment comparisons and analysis of covariance. |

STAT 163 | Survey Designs | Introduction to sampling methods: simple random, stratified, unequal probability and multi-stage sampling, methods of estimation |

STAT 164 | Statistics for the Biological Sciences | Statistical modelling of biological data; parametric and nonparametric tests for comparing means; analysis of relationships among variables; probit analysis; linear discriminant analysis; cluster analysis; analysis of categorical data |

STAT 165 | Categorical Data Analysis | Analysis of proportions and percentages; measures and models of independence and associations; log-linear, logit, logistic and probit models for nominal and ordinal, binary and multinomial response data; analysis if repeated measures categorical response data; simple and multiple correspondence analysis |

STAT 166 | Statistics for the Social Sciences | Sampling and survey operations; tests of hypothesis; nonparametric tests; analysis of one-way and two-way classification data; measures of associations and relationships; quantitative text analysis. |

STAT 167 | Statistical Quality Control | Types of variables, frequency distribution, descriptive measures of a distribution, control charts, process capability, introduction to designed experiments for process improvement, acceptance sampling |

STAT 172 | Experimental designs II | Analysis of Nested Experiments; Symmetric Factorials; Confounding; Response Surface Analysis; Experiments with Mixtures; Incomplete Block Designs and Lattices; Repeated Measures and Crossover Designs; Analysis of Similar Experiments |

STAT 173 | Survey Operations | Planning, execution and analysis of surveys |

STAT 175 | Analysis of Multivariate Data | Analysis of data from multivariate normal populations; profile analysis; multivariate analysis of variance; multivariate regression analysis; correlations; canonical correlation analysis; path analysis; discriminant analysis; principal component analysis; factor analysis; cluster analysis |

STAT 181 | Statistical Computing | |

STAT 182 | Statistical Packages | Statistical packages in data processing and analysis |

STAT 190 | Special Problem | |

STAT 191 | Special Topics | Topics: • Small-area Estimation • Study Designs in Biostatistics and Epidemiology • Environmental Risk Analysis |

STAT 198 | Practicum | |

STAT 199 | Undergraduate Seminar |