Sometimes, the return on investment in performance optimizations just isn’t worth the effort. If you only run your code once or twice, or if it takes longer to improve the code than execute it, then what’s the point? When it comes to improving the quality of your code, you’ll proba...
Point estimatesare single values that are used to estimate population parameters (such asmeans, proportions, andvariances). For example, if we wanted to estimate the mean age of all dog owners in the United States, we could use the point estimate provided by our sample mean age. ...
There’s one GSC feature that doesn’t get enough praise, though—the Crawl Stats report. It’s hard to find but gives you tons of information about how Google crawls your website—information you can use to make sure the search giant indexes your site properly. In this article, I’ll...
How to find a confidence interval for a sample or proportion in easy steps. Videos showing the steps for 95% intervals, proportions...
coefficient for the intercept and the slope.% At this point we may want to estimate the coefficients.ls = solve( glm );% ls is a structure that contains the least-squares estimates of each% coefficient, plus other values that aren't needed right now% draw the reference lineplot(...
It can be hard to find the perfect sample size for statistically sound results. Here we reveal methods and tools for effective sample size determination.
9. Check your router stats 10. Use your ISP cable or DSL modem stats 1. Use apps to check your data usage GlassWire is a free app that specializes in keeping track of your data usage. There is a mobile phone version for Android, and a desktop PC version for Windows. Use an Android...
This method involves working on a granular level to find waypoints that are extrapolated up to the wider population. It is favored forbeing more accurate, because its basis is anchored around a proven data point, which can be magnified to uncover the whole TAM population. One can use primary...
We want to estimate unknown cumulative distribution function, $P(X \le x)$, from the data. The function applies the most basic definition of probability, based on counts $$ P(\text{something}) = \frac{\text{how often something happen}}{\text{sample size}} $$ In this case, we are ...
Confidence intervals can be a difficult concept to grasp but they just make intuitive sense when explained in simpler terms. In essence, confidence intervals are as simple as casting a net around information in the form of the point estimate so we capture the true value inside our net. At le...