You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience. Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information. Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies.
It is mandatory to procure user consent prior to running these cookies on your website. This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Privacy Overview This website uses cookies to improve your experience while you navigate through the website. Privacy Overview. Necessary Always Enabled. Non-necessary Non-necessary.
Special Distributions 6. Large Random Samples 7. Estimation 8. Sampling Distributions of Estimators 9. Testing Hypotheses Categorical Data and Nonparametric Methods Linear Statistical Models Share a link to All Resources.
Instructor Resources. Previous editions. Probability and Statistics, 4th Edition. Relevant Courses. Probability Upper-Level Statistics. Sign In We're sorry! Username Password Forgot your username or password? Sign Up Already have an access code? Instructor resource file download The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.
Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum's Outline gives you fully solved problems Concise explanations of all course fundamentals Information on conditional probability and independence, random variables, binominal and normal distributions, sampling distributions, and analysis of variance Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know.
Schaum's Outlines--Problem Solved. Author : William W. Topics included in this book are nonparametric statistics, p-values in hypothetical testing, residual analysis, quality control and experiment design. Author : Anthony J. As a teacher and researcher at a premier engineering school, author Tony Hayter is in touch with engineers daily--and understands their vocabulary.
The result of this familiarity with the professional community is a clear and readable writing style that students understand and appreciate, as well as high-interest, relevant examples and data sets that keep students' attention.
A flexible approach to the use of computer tools, including tips for using various software packages, allows instructors to choose the program that best suits their needs. At the same time, substantial computer output using MINITAB and other programs gives students the necessary practice in interpreting output.
Extensive use of examples and data sets illustrates the importance of statistical data collection and analysis for students in the fields of aerospace, biochemical, civil, electrical, environmental, industrial, mechanical, and textile engineering, as well as for students in physics, chemistry, computing, biology, management, and mathematics.
Author : Sheldon M. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists.
Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text.
Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. Author : J. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background.
Written in English. Comment Report abuse. See all 3 customer reviews. Alu Srinivasan, et al. Find the top most popular items in Amazon Books Best Sellers.
0コメント