This time, we’re going to be calculating the ‘Chi-Squared’ factor of each individual value we’ve covered so far, enabling us to determine whether our results could be considered statistically significant. To do this, we’ll use the following formula: 01 (expected value - origin...
Background: Internal quality control (IQC) is an everyday practice described in several documents. Its planning requires the definition of quality goals and a documentation system able to provide alarms as soon as the goals are not reached. We propose th
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.
Someone who is proficient in statistics and R can read and interpret the output of a t-test without any difficulty. However, as you may have noticed with your own statistical projects, most people do not know what to look for in the results and are someti...
The final factor is within the company’s control, although the first two are not. They check the figures and determine marketing spend has a significant impact on the company. Free eBook: The ultimate guide to market research 3. Prioritize Once you and your research team have a few observat...
A sound split test will yield statistically significant and reliable results. In other words, your A/B test results are not influenced by randomness or chance. But how can you be sure your results are statistically significant and reliable?
Pilot studies can be very informative, not only to the researchers conducting them but also to others doing similar work. However, many of them never get published, often because of the way the results are presented [13]. Quite often the emphasis is wrongly placed on statistical significance,...
It can be anything from a typo error to adding wrong answer options for a question to even analyzing the results wrong. If you are wondering how consequential an error can be, then get this:A simple error in targeting, arranging, selecting questions, or even how you frame questions can irr...
When to Use a Chi-Square (χ2) Test A chi-square test is used to help determine if observed results are in line with expected results and to rule out that observations are due to chance. A chi-square test is appropriate for this when the data being analyzed is from arandom sample, ...
reflecting changing economic conditions and policy approaches. The magnitude of rate changes can vary. While 25 basis point adjustments are standard, the Fed may opt for more significant changes (such as 50 basis points or more) if it believes more dramatic action is needed to influence economic...