Sentence examples for means were normally from inspiring English sources

Exact(1)

Differences in the mean counts (log CFU/g) of the sampled products were statistically assessed using one way Analysis of Variance (ANOVA) in SPSS version 20 (IBM Inc., Chicago, Ill., USA) when a Shapiro-Wilk test indicated that the means were normally distributed.

Similar(59)

And s is the storage cost, OK? So, this is called fair value, and what it means is, normally you think futures prices should behave like that, OK? So, the normal situation in futures markets is contango, which means that prices are normally going up through time, because the longer in the future we're looking at, the longer time that we're losing interest and storage.

3. The sample size is large enough to insure that the sampling distribution of the sample means is normally distributed.

When y ¯ is related to a unit area (e.g. ha) then the population size N can be replaced by the area of the entire population A. Under the assumption that the estimates of means are normally distributed, the lower and upper confidence limits for the population mean and total are as follows: y ¯ L = y ¯ − ts n, y ¯ U = y ¯ + ts n Y ^ L = N y ¯ − tNs n, Y ^ U = N y ¯ + tNs n.

Because sample means are Normally distributed, it should be possible to use the same theory as for the reference range to calculate a range of values in which 95% of sample means lie.

HR (mean) data were normally distributed.

These mean factor scores were normally distributed.

For the open provocation test, the mean HR data were normally distributed.

Continuous variables are expressed as means ± SD as they were normally distributed when evaluated by Kolmogorov-Smirnov tests.

Continuous variables were reported as means ± SD when variables were normally distributed or as medians and interquartile [P25-P75 [P25-P75hen variables were not normally distributed.

Where data were normally distributed, means and standard deviations are presented, and elsewhere medians and interquartile ranges (IQR) are given.

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