K-Data World

The Data Science Team @ KStats Partner.
Computers provide the environment in which data-driven hypotheses are tested, and as such, computer science is necessary for data manipulation and processing. On the other hand, Mathematics provides the theoretical structure in which data science problems are examined. A rich background in statistics, geometry, linear algebra, and calculus are all important to understand the basis for many algorithms and tools. And finally, domain expertise contributes to an understanding of what problems actually need to be solved, what kind of data exists in the domain, and how the problem space may be instrumented and measured. Whatever your problem is, we've got you covered.

You Need to Know!!!
Procedures that enable us to decide whether to accept or
reject hypothesis or to determine whether observed samples
differ significantly from expected results are called tests of
hypotheses, tests of significance, or decision rules.

X is always defined as a variable. Hang in there a bit long. 🤔🤔