Sentence examples for variation in data to from inspiring English sources

The exclusion of 1 sample pair weakened the power of the mechanical test, which may have exacerbated the influence of the large variation in data to exceed the expected CVdiff = 30% that was entered in the initial calculation of sample size.

However, the increase in serum insulin and in C-peptide, albeit not to the same extent as insulin, during the OGTT in patients could indicate a secretory reserve, although large variation in data needs to be taken into consideration when interpreting the difference in C-peptide and insulin concentrations.

Sufficient particle histories (NPS) were used to reduce the variation in the data to be less than 5%% for most cases; NPS was set to 1 × 107 particles.

Secondly, we can exploit the richness of the regional variation in our data to explore the determinants of the demand for currency.

For example, principle component analysis [ 3, 4] (an unsupervised method) uses the largest variation in the data to define a first axis (principle component).

Furthermore, the small population in parallel with large variation in data may lead to a type II error.

DTW is widely used for comparing time series data, due to its strength to capture the variation in data that may vary owing to different speed.

The benefit of a single observer was to eliminate observer-to-observer variation in data collection and the benefits were thought to outweigh the potential for bias.

Second, the study highlights the importance of students' awareness, creation and understanding of variation in data representations, in contrast to traditional approaches where 'information' is simply read from a graph without being interpreted, analysed and questioned.

To normalize variation in data between experiments, relative values of aggregation index are normalized to P2/S1 value of A4V at 24 h transfection (set to 1) (3).

In this article we resolve objectively and quantitatively the question of whether it is acceptable to use control charts to analyse variation in data that does not have a natural ordering.