The phrase "around mean value" is correct and usable in written English.
It can be used in contexts involving statistics, mathematics, or data analysis to indicate a range or proximity to the average value.
Example: "The results of the experiment showed that the measurements were clustered around the mean value, indicating consistency in the data."
Alternatives: "near the average" or "close to the mean."
This implicates that for low concentrations of XG, the air bubble diameters are less dispersed (around mean value) in comparison to the normal distribution.
As can be seen from Fig. 3 on the right, returns fluctuate around mean value that is closed to zero and also shows volatility clustering where large returns tend to be followed by small returns.
According to the statistical linearization argument [29], ( {SINR}_d^k ) is approximated by a first order Taylor series expansion around mean value (μ 1, μ 2): {SINR}_d^kleft(num, denright cong {SINR}_d^kleft({mu}_1,{mu}_2right)+frac{partial {SINR}_d^kleft({mu}_1,{mu}{partial}{partial num}left(num-{mu}_1right)+frac{partial {SINR}_d^kleft({mu}_1,{mu}{partial}{partial den}left( den-{mu}_2right).
Low standard deviation values indicate that the panel gather around mean values and have a high degree of consensus.
These results have important implications for the conservation of threatened species and management practices that may historically have overlooked phenotypic variation as unimportant noise around mean values of interest.
In the case of the mean synaptic drive model that we use in this paper, we have simplified the analysis by ignoring second-order terms in an expansion around mean values.
The range of costs between facilities was used to estimate standard deviations around mean values.
For all data groups the degrees of asymmetry of the data distribution around mean values have been calculated.
Given the large variations around mean values, it seems that some people might be at risk of insufficient hydration.
Furthermore, OLS models used in all mapping algorithms reported here are more precise around mean values than for extremes, which results also in underprediction for utility values near to 1, most notably when regressing EQ-5 D on HAQ.
Wide variations are observed around mean values, suggesting that fluid intake could be insufficient in some people, or that energy intake from fluids might contribute significantly to adequate or inadequate total energy intake.
