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ES209 Introduction

This document is the introduction lecture for the Engineering Data Analysis course at the University of Science and Technology of Southern Philippines. The course is designed for undergraduate engineering students to solve problems related to societal issues. It introduces different methods of data collection and how to determine the most suitable method. The course also discusses the relationship between probability and statistics to provide students with an understanding of how chance influences statistical analysis. The lecture outlines the topics to be covered in the course, including obtaining and analyzing data, probability concepts, discrete and continuous probability distributions, and joint probability distributions.
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0% found this document useful (0 votes)
122 views17 pages

ES209 Introduction

This document is the introduction lecture for the Engineering Data Analysis course at the University of Science and Technology of Southern Philippines. The course is designed for undergraduate engineering students to solve problems related to societal issues. It introduces different methods of data collection and how to determine the most suitable method. The course also discusses the relationship between probability and statistics to provide students with an understanding of how chance influences statistical analysis. The lecture outlines the topics to be covered in the course, including obtaining and analyzing data, probability concepts, discrete and continuous probability distributions, and joint probability distributions.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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UNIVERSITY OF SCIENCE AND TECHNOLOGY OF SOUTHERN PHILIPPINES

ELECTRICAL ENGINEERING DEPARTMENT


ES209 (ENGINEERING DATA ANALYSIS)

LECTURE 1:

INTRODUCTION TO
ENGINEERING DATA ANALYSIS

PREPARED BY: ENGR. JOHN REY B. BAJUYO


What is Engineering
Data Analysis and why
should we study this
course?

PREPARED BY: ENGR. JOHN REY B. BAJUYO


This course is designed for undergraduate
engineering students with emphasis on problem
solving related to societal issues that engineers
and scientists are called upon to solve.
It introduces different methods of data collection
and the suitability of using a particular method for
a given situation.
The relationship of probability to statistics is also
discussed, providing students with the tools they
need to understand how “chance” plays a role in
statistical analysis.
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
PREPARED BY: ENGR. JOHN REY B. BAJUYO
Methods of Data
Collection, Planning and
Conducting Surveys, Sample Space and
Observational Study PART 1 Relationships among
Obtaining Events, Rules of
Data Probability

PART 2
Probability
Two or Random Variables,
Conditional Probability
Distributions
PART 5
Joint
Probability
Distribution
PART 3
Discrete
Probability Random Variables and
Distributions their Probability
PART 4 Distributions,
Continuous Random Variables and Continuous Cumulative Distribution
their Probability Distributions, Normal Probability Functions
Distributions Distribution
Questions?
Expectations?

PREPARED BY: ENGR. JOHN REY B. BAJUYO

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