TABLE OF CONTENTS
Chair Message - Adam Pintar
Editor's Corner - Matt Barsalou
Mini-Paper: "The Promise and Problems of the Powerful P-Value" - Jim Frost
Feature: "The Hype, Myth, and Reality of Data Science and Data Scientists" - Alex Gutman

Columns
Design of Experiments "Some Things You Should Know About P-Values" - Brad Jones and Doug Montgomery
Statistical Process Control "Phase I and Phase II Analysis for Quality Control and Monitoring" - Connie Borror
Statistics for Quality Improvement "Quality Improvement Using Big-Data Analytics" - Gordon Clark
Stats 101 "Statistical Quality Control vs. Statistical Process Control (SQC vs. SPC)" - Jack ReVelle
Testing and Evaluation "How Much Testing is Enough? Planning Simple Reliability Demonstrations" - Laura Freeman
Standards InSide-Out - Mark Johnson