For SPSS point-and-click, the F and p values for the random-effect were always incorrect as the wrong error term is used. With the ANCOVA design, results varied both by software package and by type of sums of squares. With the nested design, the p values for the F and multiple ...
Is that really enough to overhaul your coffee lineup? Maybe, maybe not. The significance here mainly comes from the number of people surveyed. With a smaller group, this difference might not have been significant at all. This brings us to a key point: statistical significance tells us that ...
Why is big data analytics important? How does it work? Discover the many benefits of a data-driven approach to decision-making with this introductory guide.
With so many different usability testing tools available, figuring out which is right for you is tough. You know you want to make informed decisions based on user behavior and preferences and validate design choices and hypotheses but need to figure out which tool is best for the job. I've ...
In the ever-evolving fields of scientific research and industry, there is a consistent requirement for effective processing and management of imaging datasets. Addressing this need, Thermo Scientific software solutions are continually advancing, offering a diverse range of too...
these disputes matter when industry leaders and opinionated scientists are summoned by heads of state and lawmakers to explain what this technology is and what it can do (and how scared we should be). They matter when this technology is being built into software we use every day, from search...
Although machine learning, by its very nature, is a form of statistical discrimination, the discrimination becomes objectionable when it places privileged groups at systematic advantage and certain unprivileged groups at systematic disadvantage, potentially causing varied harms. To encourage fairness, practiti...
Machine learning is a technique that discovers previously unknown relationships in data by searching potentially very large data sets to discover patterns and trends that go beyond simple statistical analysis. Machine learning uses sophisticated algorithms that are trained to identify patterns in data, cre...
Lenovo TruScale is an as-a-service, cloud-like experience with on-prem security and control. It scales very easily, to give you all the power and strategic advantage of the latestdata centerhardware through a pay-as-you-go business model. ...
Teaching a computer to play chess is a good example. The overall goal is to win the game, but that may require sacrificing pieces as the game goes on. Which is best for your needs? Choosing a supervised approach or one of the other three methods usually depends on the structure and ...