Sentence examples for levels of statistics from inspiring English sources

Because of the small number of cases in this study, levels of statistics significance should be interpreted cautiously.

Onwuegbuzie [ 8] reported that between75%and80%80% of graduate students tended to develop uncomfortable levels of statistics anxiety.

Baloglu [ 11] reported that age was a factor influencing statistics anxiety and that previous mathematics experience significantly affected undergraduate students' levels of statistics anxiety.

Four levels of statistics were performed using SPSS for windows, version 13: (1) Mann–Whitney tests were conducted to compare means of LVD and MVD (as a continuous data) between different clinicopathological groups and (2) specimens were divided into two categories according to the median values of LVD and MVD.

A comparison between two datasets (from 1990 to 2002) on shallow groundwater and modelled concentrations provided a useful verification on the level of statistics of "homogeneous areas" (areas with comparable land use, soil type and geohydrological situation) instead of comparison at individual locations.

Both were similar with respect to age, gender and previous level of statistics.

In the Species Browser, kingdom-level and phylum-level of statistics are provided as well as download option for distribution of PCWDEs in all the 328 genomes.

In addition to significance level of statistics, effect sizes (Cohen's d for mean differences and odds ratio for dichotomous outcomes) adjusted for visit order were computed to help inform the clinical significance of the results.

In addition to collecting basic data on the students including their age, sex and previous level of statistics learning, they were asked to define two of the most fundamental concepts of statistics, a p-value and confidence interval, and answer some questions about their beliefs and attitudes to the subject.

Thirty-six percent (27/75) of the staff who were able to do their own analysis agreed to teach on proposed institutional-wide biostatistics short courses, with 85.2 % (23/27) and 29.6 % (8/27) willing to do so at basic and intermediate level of statistics short courses respectively.

Associations between markers of early life and adult socioeconomic status were assessed using linear or logistic regression models, reported in terms of the R2 or Nagelkerke generalised R2 statistics and levels of statistical significance.