They enrich the lives of their employees, add value to the business, and create a workplace where people can thrive. HR workers can be every bit as scientific and data-driven as their colleagues in finance and marketing, if they have the survey data to make key strategic choices. There’...
they are statistically indistinguishable). A one-way ANOVA test can be utilized to test if the residuals from Eqs. (4.1) and (4.2) differ from each other significantly. When more than one lag k
To normalize the review distribution, the scores were first reversed, implying that the review scores became right- skewed, and were then log transformed. The gender of a gig worker, the fourth independent variable considered (see H4), is dichotomous and can take on two values: male or ...
Have you ever presented results from a marketing campaign and been asked, “But are these results statistically significant?” As data-driven marketers, we’re not only asked to measure the results of our marketing campaigns but also to demonstrate the validity of the data — exactly what ...
normalize the number of interactions by source and target before searching for patterns, i.e., we respectively divide the number of interactions between two groups by the total amount of interactions generated (source) or received (target). Moreover, we employ a null model to statistically ...
Hence, computational modeling is the only viable approach to collect statistically significant data on urban flooding dynamics over a representative spectrum of urban forms. The flow structure and boundary layers of urban flooding can be simulated with Reynolds-averaged Navier-Stokes, large-eddy ...
(and by how many customers), but rather we normalize that spending behavior against what the control group tells us the test group would have done anyway. Assuming the results are statistically significant, we have a highly accurate indication of how successful the campaign was. (We measure ...
The findings suggests that when comparing foot data, it is important to consider the differences caused by new measurement methods. Differences of about 0.6cm are relevant when measuring foot length, as this is the difference of a complete shoe size (Parisian point). Hence, correction factors may...
Taking into account these three observations, we should evaluate each point in theH–Dspace with respect to the boundaries of its own region, and normalize its value with the maximum it can assume in such a region. As shown in Fig.3, we call region I the Heterophobic-Dyadic region in wh...
Further testing is required to determine if R-squared approaching +/- 1 is statistically significant. Variables must be independent and their relationship must be linear for correlation to exist. It's important to normalize data into a common unit when calculating a correlation. You would theoretica...