Sum It Up
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Sum It Up
Pat Summitt, the all-time winningest coach in NCAA basketball history and bestselling author of Reach for the Summitt and Raise The Roof, tells for the first time her remarkable story of victory and resilience as well as facing down her greatest challenge: early-onset Alzheimer's disease. Pat Summitt was only 21 when she became head coach of the Tennessee Vols women's basketball team. For 38 years, she broke records, winning more games than any NCAA team in basketball history. She coached an undefeated season, co-captained the first women's Olympic team, was inducted into the Basketball Hall of Fame, and was named Sports Illustrated 'Sportswoman of the Year'. She owed her coaching success to her personal struggles and triumphs. She learned to be tough from her strict, demanding father. Motherhood taught her to balance that rigidity with communication and kindness. She was a role model for the many women she coached; 74 of her players have become coaches. Pat's life took a shocking turn in 2011, when she was diagnosed with early-onset Alzheimer's disease, an irreversible brain condition that affects 5 million Americans. Despite her devastating diagnosis, she led the Vols to win their sixteenth SEC championship in March 2012. Pat continued to be a fighter, facing this new challenge the way she's faced every other--with hard work, perseverance, and a sense of humor.
Fundamentals of Theoretical Computer Science
Author: Mr. Rohit Manglik
language: en
Publisher: EduGorilla Publication
Release Date: 2024-04-06
Core computer science theories are analyzed. Guides students to understand computational models, fostering expertise in theoretical computer science through practical exercises and theoretical study.
Probability and Statistics
Author: Arak M. Mathai
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2017-12-18
This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected values Commonly used discrete distributions Commonly used density functions Joint distributions Some multivariate distributions Collection of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design of experiments and analysis of variance Questions and answers