Jane's early years were full of adventure and excitement. She immigrated to Australia from England, married, and had five children. Disaster struck when her husband was arrested. She spent years grappling with the consequences of his crimes and the devastating effect on her family. Jane floundered in a spiritual and emotional wilderness. The pain of betrayal, confusion, and guilt reinforced her lack of self-worth. Could she ever recover? How could she forgive? Who could understand her humiliation, shame, and utter despair? Told with candid honesty and courage, this is a story of redemption and restoration that Jane attributes solely to God's grace and mercy.

Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.

The first English-language translation of the French 18th-century classic text on woodworking.

I am what I am today , not because of, but in spite of, the past. For author Stephanie Harrington, that statement encapsulates a life story that she shares with you in A Silk Purse from a Sows Ear In this true story she narrates how Georgina Jackson, aged only three years old, was forced to become Georgina Frazer. And this was the first example that Georgina was never going to experience a normal childhood, or for that matter...A normal life! Left to her own devices, she traveled a tormented journey, desperately seeking approval from anyone and everyone, making mistake after mistake, and involving\ so many others including partners, children, friends, and more. A Silk Purse from a Sows Ear? tells about the sadness, pain, disappointment, guilt, and desperation she encountered throughout life always worrying how others perceived her and the feelings of insecurity and inferiority that followed her in whatever she attempted. She shares a story of a traumatic, yet fascinating and unusual life.

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'Unquestionably the king of comic writing' Guardian 'His best, funniest, most satisfying book' Time Out In Dress Your Family in Corduroy & Denim, David Sedaris lifts the corner of ordinary life, revealing the absurdity teeming below its surface. His world is alive with obscure desires and hidden motives - a world where forgiveness is automatic and an argument can be the highest form of love. This book finds one of the wittiest and most original writers at work today at the peak of his powers. 'Sardonic, funny, and wry, but at the same time there is a new strain of introspection that makes for a book with more emotional resonance... A Chekhovian brand of comedy' New York Times 'Like an updated Thurber: domestic, laconic, slightly warped but never bitter, and extremely funny' Sunday Times 'A delight' Sunday Telegraph

“Powerful and haunting . . . an intimate and unforgettable tale that transports the reader to the heart of Imperial Russia.” —Chanel Cleeton, New York Times bestselling author of The Most Beautiful Girl in Cuba This sweeping novel takes readers behind palace walls to see the end of Imperial Russia through the eyes of Olga Nikolaevna Romanov, the first daughter of the last tsar Grand Duchess Olga Romanov comes of age amid a shifting tide for the great dynasties of Europe. But even as unrest simmers in the capital, Olga is content to live within the confines of the sheltered life her parents have built for her and her three sisters: hiding from the world on account of their mother’s ill health, their brother Alexei’s secret affliction, and rising controversy over Father Grigori Rasputin, the priest on whom the tsarina has come to rely. Olga’s only escape from the seclusion of Alexander Palace comes from the grand tea parties her aunt hosts amid the shadow court of Saint Petersburg—a world of opulent ballrooms, scandalous flirtation, and whispered conversation. But as war approaches, the palaces of Russia are transformed. Olga and her sisters trade their gowns for nursing habits, assisting in surgeries and tending to the wounded bodies and minds of Russia’s military officers. As troubling rumors about her parents trickle in from the front, Olga dares to hope that a budding romance might survive whatever the future may hold. But when tensions run high and supplies run low, the controversy over Rasputin grows into fiery protest, and calls for revolution threaten to end three hundred years of Romanov rule. At turns glittering and harrowing, The Last Grand Duchess is a story about dynasty, duty, and love, but above all, it’s the story of a family who would choose devotion to each other over everything—including their lives. Looking for more historical fiction from Bryn Turnbull? Don't miss The Woman Before Wallis. For fans of The Paris Wife and The Crown, this stunning novel tells the true story of the American divorcée who captured Prince Edward’s heart before he abdicated his throne for Wallis Simpson.