How to Tell If a Result Is Real: P-Values and Statistical Significance

Every day, data teams run experiments, test ideas, and report findings, but how do you know a result is real and not just random noise? Join us for a session on p-values and statistical significance: what they actually mean, why they’re so often misunderstood, and how to use them to make better decisions with data. Learn practical approaches to interpreting test results, avoiding common traps like p-hacking and false positives, and communicating uncertainty clearly to your team and stakeholders. Whether you’re just getting started with statistics or want to sharpen how you evaluate results, come learn, ask questions, and gain practical insights for your data journey.