Sentence examples for difference in the observed values from inspiring English sources

Exact(2)

We used different samples for the annealing experiments at 400 and 500 °C, and therefore, a small difference in the observed values of Q ss was expected.

Specifically, assume that we have N pairs of observations – in this case the mean recall figures for each of the activity classes for SUM-OKA and for TAN – where there is a difference in the observed values; assume further that the first method performs better on x occasions (and hence that the second performs better on N-x occasions).

Similar(58)

The overall blood analysis showed no marked differences in the observed values before resection, on the 14th day after surgery, or on the 30th postoperative day.

For the cell counts and hematological analysis, significant differences in the observed values were tested using one-way analysis of variance (ANOVA).

Because the NRI measures the difference between the observed values and expectation in units of standard deviations, this yields a very simple rule if we assume that possible MPD values are normally distributed: any NRI value larger than 1.96 or smaller than -1.96 is significant.

In fact, residual is the difference between the observed value and the predicted value.

Each exon-gene pair will have its own slope depending on the accumulated characteristics of their detecting probes: In this context, a significant difference between the observed value and the expected value can be interpreted as being due to an alternative splicing event.

The ith residual is the difference between the observed value of the dependent variable, yi, and the value predicted by the estimated regression equation, ŷi.

While one might expect some difference in the distribution of residuals between the observed values and those containing a non-detect, the large differences seen in Figure 1 likely represent bias introduced by the common method of handling non-detects.

The post hoc Newman Keuls test was used to locate the differences in analysis when the observed value was P<0.05.

The analysis assumes any systematic difference between the missing values and the observed values can be explained by differences in observed data.

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