Jon Schwabish Discusses Adding an Error Bar to a Line Chart in Excel

2021 ◽  
Keyword(s):  
Line Chart ◽  
Error Bar

Toward a Numerical Error Bar in CFD

1995 ◽  
Vol 117 (1) ◽  
pp. 7-9 ◽  
Author(s):  
George Em Karniadakis
Keyword(s):  
Numerical Error ◽  
Error Bar

scholarly journals Technical Note: On methodologies for determining the size-normalised weight of planktic foraminifera

2010 ◽  
Vol 7 (7) ◽  
pp. 2193-2198 ◽  
Author(s):  
C. J. Beer ◽  
R. Schiebel ◽  
P. A. Wilson
Keyword(s):  
Wall Thickness ◽  
North Atlantic ◽  
Technical Note ◽  
Sieve Method ◽  
Planktic Foraminifera ◽  
Test Size ◽  
The North ◽  
Sieve Fraction ◽  
Error Bar ◽  
Fraction Method

Abstract. The size-normalised weight (SNW) of planktic foraminifera, a measure of test wall thickness and density, is potentially a valuable palaeo-proxy for marine carbon chemistry. As increasing attention is given to developing this proxy it is important that methods are comparable between studies. Here, we compare SNW data generated using two different methods to account for variability in test size, namely (i) the narrow (50 μm range) sieve fraction method and (ii) the individually measured test size method. Using specimens from the 200–250 μm sieve fraction range collected in multinet samples from the North Atlantic, we find that sieving does not constrain size sufficiently well to isolate changes in weight driven by variations in test wall thickness and density from those driven by size. We estimate that the SNW data produced as part of this study are associated with an uncertainty, or error bar, of about ±11%. Errors associated with the narrow sieve fraction method may be reduced by decreasing the size of the sieve window, by using larger tests and by increasing the number tests employed. In situations where numerous large tests are unavailable, however, substantial errors associated with this sieve method remain unavoidable. In such circumstances the individually measured test size method provides a better means for estimating SNW because, as our results show, this method isolates changes in weight driven by variations in test wall thickness and density from those driven by size.

scholarly journals STRUCTURAL AND ELECTRONIC PROPERTIES OF TRANSITION METAL DI-CHALCOGENIDES (MX2) M=(Mo, W) AND X=(S, Se) IN BULK STATE: A FIRST-PRINCIPLES STUDY

2017 ◽  
Vol 22 (1) ◽  
pp. 41-50
Author(s):  
Ram Prasad Sedhain ◽  
Gopi Chandra Kaphle
Keyword(s):  
Transition Metal ◽  
Electronic Properties ◽  
Density Functional ◽  
Tight Binding ◽  
Calculated Data ◽  
Modern Technology ◽  
Fundamental Aspect ◽  
Bulk State ◽  
Error Bar ◽  
Structural And Electronic Properties

Transition metal di-chalcogenides (MX2) M=(Mo, W) and X=(S, Se) in bulk state are of great interest due to their diverse applications in the field of modern technology as well as to understand the fundamental aspect of Physics. We performed structural and electronic properties of selected systems using density functional theory implemented in Tight Binding Linear Muffin- tin Orbital (TBLMTO) approach with subsequent refinement. The structural optimization is performed through energy minimization process and lattice parameters of optimized structures for MoS2, MoSe2, WS2 and WSe2 are found to be 3.20Å, 3.34Å, 3.27Å and 3.34Å respectively, which are within the error bar less than 5% with experimental values. The band gaps for all TMDCs are found to be of indirect types with semiconducting behaviours. The values of band gap of MoS2, MoSe2, WS2 and WSe2 in bulk state are found to be 1.16eV, 108eV, 1.50eV and 1.29eV respectively which are comparable with experimental and previously calculated data. Due to the symmetric nature of up spin and down spin channels of Density of States (DOS) all the systems selected are found to be non magnetic. However it fully supports the results obtained from band structure calculations. The potential and charge distributions plots support the results. The charge density plots reveals the covalent nature of bond in (100) plane. However (110) plane shows mixed types of bonding.Journal of Institute of Science and TechnologyVolume 22, Issue 1, July 2017, page: 41-50

scholarly journals Analyzing the Economic Impact of Foreign Employment on Development Prospective of Nepal

2020 ◽  
Vol 23 (2) ◽  
pp. 119-130
Author(s):  
Khom Raj Kharel ◽  
Suman Kharel
Keyword(s):  
Economic Impact ◽  
Significant Contribution ◽  
Foreign Currency ◽  
Positive Association ◽  
Poverty Line ◽  
Social Changes ◽  
Line Chart ◽  
The Impact ◽  
Pie Chart ◽  
Percentage Ratio

Foreign employment has become one of the major sources of households’ income for Nepalese society. Nepal has become one of the major labors exporting country. After 1990s, remittance is playing a crucial role for foreign currency earnings and favorable impact on balance of payment situation, to reduce the number of people in the country below the poverty line and ultimately to the economic growth of the nation. This paper tries to examine the economic impact of foreign employment on remittance as well analyze the growth and trends of foreign employment and remittance on development prospective in Nepalese economy. Some descriptive statistics such as percentage, ratio, pie-chart, bar diagram and line chart are used to explain the growth and trends of foreign employment as well as situation of remittance in Nepal. Correlation and linear regression model are used to analyze the impact of foreign employment on remittance. The inflow of remittance growth rate has positive association along with significant contribution of remittance to Gross Domestic Product in Nepalese economy. Also, foreign employment has important effect on remittance. Foreign employment is one of the effective instruments for poverty alleviation and social changes.

scholarly journals The CORA 5.2 dataset: global in-situ Temperature and Salinity measurements dataset. Data description and validation

2019 ◽  
Author(s):  
Tanguy Szekely ◽  
Jérôme Gourrion ◽  
Sylvie Pouliquen ◽  
Gilles Reverdin
Keyword(s):  
Real Time ◽  
North Atlantic ◽  
Objective Analysis ◽  
Atlantic Basin ◽  
Ocean Variability ◽  
The North ◽  
Error Bar ◽  
The North Atlantic ◽  
Delayed Time

Abstract. We present the Copernicus in-situ ocean dataset of temperature and salinity (version V5.2). The ocean subsurface sampling varied widely from 1950 to 2017, as a result of changes in the instrument technology and development of in-situ observational networks (in particular, tropical moorings, ARGO program). The global ocean temperature data coverage on an annual basis grows thus from 10 % in 1950 (30 % for the North Atlantic basin) to 25 % in 2000 (60 % for the North Atlantic basin) and reaches a plateau exceeding 80 % (95 % for the North Atlantic Ocean) after the deployment of the ARGO program. The average depth reached by the profiles also increases from 1950 to 2017. The validation framework is presented, and an objective analysis-based method is developed to assess the quality of the dataset validation process. Analyses of the ocean variability are calculated without taking into account the data quality flags (raw dataset OA), with the near real time quality flags (NRT dataset OA) and with the delayed time mode quality flags (CORA dataset OA). The comparison of the objective analysis variability shows that the near real time dataset managed to detect and to flag most of the large measurement errors, reducing the analysis error bar compared to the raw dataset error bar. It also shows that the ocean variability of the delayed time mode validated dataset is almost exempt from the random error induced variability.

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