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15.8: Acknowledgments

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    No textbook can be written in a vacuum, and there are so many colleagues, students, administrators, friends and family members who have supported this endeavor.  

    I would first like to thank my colleagues and administrators at De Anza College, especially: Barbara Illowsky, Susan Dean and Frank Soler, Statistics authors who helped me with process of writing my text and creating an online education resource; Diane Mathios, who allowed me to use her material on sampling bias; Doli Bambania, who shared with me ideas of adding rich context to material; Roberta Bloom, who I collaborated with in using other online resources; Lenore Desilets, Lisa Mesh, Hung Nguyen, and many others who have used some of my preliminary material and made suggestions; Martha Kanter, who initiated the OER incentive at FHDA as part of her life’s mission to make college more affordable to students; and Jerry Rosenberg, for supporting my Professional Development Leave request to write this book.

    I would also like to thank the many students who have inspired me to complete this material. I want to especially thank students and tutors who agreed to review some of the preliminary chapters and who have found errors in the text: Kairev Sheth, Alice Lee, Nikki Diep, Thanh Pham, Ana Chaverri, Kamyar Kazemi, Milanko Plavsic, Alyssa Melesurgo, Andrea Yepez, Natalia Ramos, Meidan Jing, Derek Esteban, Yuhan Tan, Hilary Lou, Qiong Wu, Dan Trinh, Deshan Yapabandara, Christopher Ton, Lily Tran, Emily Sabour and Tony Ton.

    Finally, I want to thank my daughter Amy Geraghty, who patiently edited this text for grammar and my wife Rita Geraghty, who inspires me to stay present by being mindful and to meet challenges with loving kindness.  

    Thank you all.

    This page titled 15.8: Acknowledgments is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Maurice A. Geraghty via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.