Engineering statistics / by 3G E-Learning

Contributor(s):

3G E-Learning

Material type: Text

TextLanguage: English Publication details: USA : 3G E-Learning LLC, 2017Description: xii, 275 pages : illustrations ; 23 cm + 1 DVD (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781680954906

Subject(s):

LOC classification:

TA340 En3 2017

Contents:

Statistical inference -- Role of statistics in engineering -- Methods of collecting and presenting data -- Probability and common probability distributions --Simple linear regression and correlation -- Parameter estimation multiple regression -- Variance in engineering statistics.

Summary: Statistics is the mathematical science involved in the application of quantitative principles to the collection, analysis, and presentation of numerical data. The practice of statistics utilizes data from some population in order to describe it meaningfully, to draw conclusions from it, and make informed decisions. Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practice statistical thinking. This is important even if you do not use statistical methods directly. For example, civil engineers working in thetransportation eld are concerned about the capacity of regional highway systems. A typical problem would involve data on the number of nonwork, home-based trips, the number of persons per household, and the number of vehicles per household, and the objective would be to produce a trip-generation model relating trips to the number of persons per household and the number of vehicles per household. A statistical technique called regression analysis can be used to construct this model. The trip-generation model is an important tool for transportation systems planning. Regression methods are among the most widely used statistical techniques in engineering.

List(s) this item appears in: Print Books 2020

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Holdings
Item type	Current library	Collection	Call number	Materials specified	Status	Notes	Date due	Barcode
Books	Ladislao N. Diwa Memorial Library Reserve Section	Non-fiction	RUS TA340 En3 2017 (Browse shelf(Opens below))		Room use only	76417		00076288
Compact Discs	Ladislao N. Diwa Memorial Library Multimedia Section	Non-fiction	EB TA340 En3 2017 (Browse shelf(Opens below))		Room use only	CD0000733		CD0000733

Includes bibliographic references and index.

Statistics is the mathematical science involved in the application of quantitative principles to the collection, analysis, and presentation of numerical data. The practice of statistics utilizes data from some population in order to describe it meaningfully, to draw conclusions from it, and make informed decisions. Today, statistics has become an important tool in the work of many academic disciplines such as medicine, psychology, education, sociology, engineering and physics, just to name a few. Statistics is also important in many aspects of society such as business, industry and government. Because of the increasing use of statistics in so many areas of our lives, it has become very desirable to understand and practice statistical thinking. This is important even if you do not use statistical methods directly. For example, civil engineers working in thetransportation eld are concerned about the capacity of regional highway systems. A typical problem would involve data on the number of nonwork, home-based trips, the number of persons per household, and the number of vehicles per household, and the objective would be to produce a trip-generation model relating trips to the number of persons per household and the number of vehicles per household. A statistical technique called regression analysis can be used to construct this model. The trip-generation model is an important tool for transportation systems planning. Regression methods are among the most widely used statistical techniques in engineering.

Fund 164 F&J de Jesus, Inc. Purchased April 23, 2018 76417 NEJ PHP 6,975.00 2018-02-0161 2018-1-0101

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