While overall numbers show decline, some congregations are growing and some are shrinking. A new typology suggests a hypothesis: the growth of some congregations is at the expense of others.doi:10.1016/j.parco.2012.03.003Billings, AlanElsevier Science Publishers B. V.Parallel Computing...
I have been completely immersed in the world of statistics for the last three and a half years. I have had the privaledge of teaching for most of that time… What does Human Computer Interaction really mean? We have a relatively new “virtual†department at Iowa State Unive...
How To Interpret R-squared in Regression Analysis Cronbach’s Alpha: Definition, Calculations & Example Z-table How to Interpret P-values and Coefficients in Regression Analysis Mean Squared Error (MSE) Interpreting Correlation Coefficients Multicollinearity in Regression Analysis: Problems, Detection, and...
However, research has shown that children often have difficulty understanding disclaimers: children may interpret the phrase "when part of a nutritionally balanced breakfast" to mean that the cereal is required as a necessary part of a balanced breakfast. ...
The previous paper in this series looked at descriptive statistics, showing how to use and interpret fundamental measures such as the mean and standard deviation.doi:10.1038/pcrj.2000.6Cook, AdrianSheikh, AzizPrimary Care Respiratory JournalGrimes DA. Interpreting study results: a refresher for clini...
This table summarizes all of the raw data in the form of a table; these descriptive statistics are also used for comparison. Your committee and the other professional readers of your dissertation will want to know the make-up of your sample and the responses to the questions in your instrumen...
Multivariate skewness and kurtosis can also be estimatedfrom ensembles of forecasts and provide useful information on the reliability of the samplemean and covariance estimated from the ensemble. They can also give useful information onthe non-linearity of the evolution in phase space. Entropy can ...
Mean Decrease in Impurity (MDI) is a specific method for tree-based methods (decision trees, random forest, XGBoost, etc.) and computationally inexpensive to obtain. Feature Permutation Importance (FPI), where each column representing a feature is randomly shuffled one by one, and the model ...
(2004; hereafter referred to as O2004), used Mann鈥揥hitney U-tests and two-sample t-tests, respectively, to statistically compare mean bacterial properties and processes inside and outside the patch during in situ mesoscale iron-enrichment experiments conducted in the Atlantic (A2004; EisenEx)...
sample estimates always have a margin of error thanks to sampling error.Confidence intervalsand hypothesis tests (p-values) can account for that margin of error when you’re using samples to draw conclusions about populations (i.e., inferential statistics).Sample statistics are always wrong to som...