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# MTH 380

## Probability and Statistics I

Probability and Statistics I: Descriptive statistics. Probability (Laws of probability. Conditional probability. Discrete probability distributions (binomial, hypergeometric, Poisson). Continuous probability distributions, Normal, t-exponential, x². Applications of discrete and continuous distributions. Sampling distributions (sample mean, sample proportion, difference between two samples, difference between two sample proportions). Sampling distribution concerning mean variance and proportion for one or two populations. Estimation for large and small samples. Hypothesis testing concerning mean, variance and proportion for one or two populations, (large samples and small samples) including paired data testing.

Weekly Contact: Lab: 1 hr. Lecture: 3 hrs.

GPA Weight: 1.00

Course Count: 1.00

Billing Units: 1

### Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.

- BLG 610 - Data Science for Biology
- BMS 770 - Medical Epidemiology
- Biology
- Biomedical Sciences
- CPS 521 - Introduction to Data Science
- CPS 707 - Software Verification and Validation
- CPS 721 - Artificial Intelligence I
- CPS 803 - Machine Learning
- CPS 824 - Reinforcement Learning
- CPS 843 - Introduction to Computer Vision
- CPS 844 - Data Mining
- CPS 870 - Applied Natural Language Processing
- Chemistry
- Computer Science
- Computer Science Core Elective Table I
- ECN 129 - Statistics for Economics I
- MTH 304 - Probability
- MTH 404 - Statistics
- MTH 410 - Statistics
- MTH 480 - Probability and Statistics II
- MTH 642 - Data Analytics: Advanced Methods
- MTH 707 - Modelling and Searching Networks
- PCS 335 - Thermodynamics and Statistical Physics
- PCS 352 - Nuclear Physics/Radiation Protection
- PCS 623 - Biostatistics
- PCS 810 - Complex Networks and Applications
- SOC 411 - Intro to Quantitative Data Analysis