Displaying Data And Probability
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Displaying Data and Probability
Author: OnBoard Lessons
language: en
Publisher: Rainbow Horizons Publishing
Release Date: 2017-01-01
Displaying Data and Probability Displaying Data • Collect, organize, analyze and display data (stem and leaf plots and bar graphs) to solve problems Circle Graphs • Draw and interpret circle graphs • Use the data to find the degrees for each piece of a pie graph Bar Graphs • Collect, organize, analyze and display data • Use bar graphs and double bar graphs to solve problems Probability • Define probability • Learn the vocabulary associated with probability • Learn different ways to express probability • Develop understanding of strategies for solving probability problems including sample space and tree diagrams
Probability, Random Variables, and Data Analytics with Engineering Applications
This book bridges the gap between theory and applications that currently exist in undergraduate engineering probability textbooks. It offers examples and exercises using data (sets) in addition to traditional analytical and conceptual ones. Conceptual topics such as one and two random variables, transformations, etc. are presented with a focus on applications. Data analytics related portions of the book offer detailed coverage of receiver operating characteristics curves, parametric and nonparametric hypothesis testing, bootstrapping, performance analysis of machine vision and clinical diagnostic systems, and so on. With Excel spreadsheets of data provided, the book offers a balanced mix of traditional topics and data analytics expanding the scope, diversity, and applications of engineering probability. This makes the contents of the book relevant to current and future applications students are likely to encounter in their endeavors after completion of their studies. A full suite of classroom material is included. A solutions manual is available for instructors. Bridges the gap between conceptual topics and data analytics through appropriate examples and exercises; Features 100's of exercises comprising of traditional analytical ones and others based on data sets relevant to machine vision, machine learning and medical diagnostics; Intersperses analytical approaches with computational ones, providing two-level verifications of a majority of examples and exercises.
Exercises and Solutions in Probability and Statistics
The book contains hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test students’ understanding of the material. Many are educational in their own right—for example, baseball managers who played professional ball were often catchers; stocks that are deleted from the Dow Jones Industrial Average have generally done better than the stocks that replaced them; athletes may not get hot hands but they often get warm hands with modest improvements in their success probabilities.