This research was a qualitative study designed to investigate university students' reasoning strategies as they were engaged in making informal statistical inferences about pairs of data sets. The 275 university students who volunteered, were enrolled in at least one statistics course, and completed a ...
Open the data set BOLT.SAV and select Analyze/Compare Means/One- Sample T Test. . . . 2. Select Length as the test variable and specify 4 as the test value. 3. Click OK, and Table 3.1 is displayed. 4. To display the boxplot in Figure 3.2, select Analyze/Descriptive Statistics/...
Sbalchiero, S., Trevisani, M., Tuzzi, A.: Knowledge discovery for dynamic textual data: temporal patterns of topics and word clusters in corpora of scientific literature. In: Arbia, G., Peluso, S., Pini, A., Rivellini, G. (eds.) Smart Statistics for Smart Applications. Book of Shor...
We wish to compare the mean statistics for the two methods. Although it is the same physician dictating both sets of notes, I'm treating them as independent samples. I'd appreciate feedback on whether this decision is correct. Using PROC UNIVARIATE indicates that the res...
Ordinal data are frequently encountered, e.g., in the life and social sciences. Predicting ordinal outcomes can inform important decisions, e.g., in medici
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Table 2. Descriptive statistics for δ13C and δ15N values, weight percentages of C and N and differences between the UCT and MPI labs. Empty Cellδ13CUCTδ13CMPIΔ13C%CUCT%CMPIδ15NUCTδ15NMPIΔ15N%NUCT%NMPIC:NUCTC:NMPI Min −22.7 −23.2 −1.8 40.7 41.8 3.2 3.2 −1.7 14....
MATHEMATICAL statisticsThe sample multiple correlation coefficient is often used to compare sets of independent variables with respect to how well they predict the future values of a dependent variable, Y. If the data are partially missing, the comparison often should reflect not only how correlated ...
Different experiments were performed to compare the performance of the LSTM and the GRU, with different sets of hyperparameters. The parameters were varied and tested one-by-one. Dense search methods, such as grid-search, were not used because of the processing time required. 6. Experiments and...
deployment. However, 3D models require 20 times more computational memory compared to 2.5D or 2D models. This study showed that 3D models are more accurate, maintain better performance with limited training data, and are faster to train and deploy. However, 3D models require more computational ...