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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, xÂ². 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

### Prerequisites

None

### Co-Requisites

None

### Antirequisites

None

### Custom Requisites

None

### Mentioned in the Following Calendar Pages

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

- BLG 409 - Biometry
- 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 843 - Introduction to Computer Vision
- CPS 844 - Data Mining
- CPS 853 - Creating Big Data Systems
- CPS 870 - Applied Natural Language Processing
- Chemistry
- Computer Science Professionally-Related Table I
- MTH 404 - Probability and Statistics II
- MTH 480 - Probability and Statistics II
- MTH 642 - Data Analytics: Advanced Methods
- MTH 707 - Modelling and Searching Networks
- Open Elective Table
- PCS 335 - Thermodynamics and Statistical Physics
- PCS 352 - Nuclear Physics/Radiation Protection
- PCS 623 - Biostatistics
- PCS 810 - Complex Networks and Applications