scholarly journals A Spreadsheet Template With Scaled Graph Options Useful For Engineering Classes

2020 ◽  
Author(s):  
Jorge Tito-Izquierdo ◽  
Alberto Gomez-Rivas
Keyword(s):  
Spreadsheet Template

scholarly journals A Spreadsheet Template for Forced Grading System

2020 ◽  
Vol 8 (6) ◽  
pp. 267-272
Keyword(s):  
Test Scores ◽  
Business Schools ◽  
Numerical Test ◽  
Grading System ◽  
Efficient Tool ◽  
Letter Grades ◽  
Grading Systems ◽  
Spreadsheet Template

Forced Grading Systems are popular and accepted for evaluating students, particularly in business schools. Under such systems students' numerical test scores are converted to letter grades (A, B, etc.) and awarded in mandated percentages. In common practice, schools mandate that 10% to 15% of students in a class receive As, 25% to 35% Bs, and 40% to 50% Cs. However, instructors must identify what numerical cutoffs satisfy mandated grade distributions, and that tedious effort might entail several solutions. This study introduces an Excel-based template with which instructors can establish numerical cutoffs that distribute students' grades in accord with mandated standards. Results indicate that the spreadsheet template is an efficient tool to evaluate students following the Forced Grading System

scholarly journals RepGene: A Spreadsheet Template for the Management of Reporter Gene Assays

BioTechniques ◽  
2001 ◽  
Vol 30 (6) ◽  
pp. 1294-1298 ◽  
Author(s):  
Patrick Y. Muller ◽  
Luca Barella ◽  
André R. Miserez
Keyword(s):  
Reporter Gene ◽  
Spreadsheet Template ◽  
Reporter Gene Assays

Inventory Projection with the Georgia Regional Timber Supply (GRITS) Model

1990 ◽  
Vol 14 (3) ◽  
pp. 124-133 ◽  
Author(s):  
Frederick W. Cubbage ◽  
Dale W. Hogg ◽  
Thomas G. Harris ◽  
Ralph J. Alig
Keyword(s):  
Study Data ◽  
Pascal Program ◽  
Timber Supply ◽  
Forest Survey ◽  
Current Growth ◽  
Supply Model ◽  
Inventory Projection ◽  
Spreadsheet Template ◽  
Case Study Data

Abstract A regional timber supply model was developed to project softwood and hardwood supplies at state and substate levels. The model runs on a microcomputer and was applied to Georgia as a case study. Data are entered in a spreadsheet template, and forecasts are made using a Pascal program. The model seems accurate, is easy to use, relies on easily obtainable forest survey data, and can provide projections for substate areas. Projections made for Georgia indicate that softwood supplies will decrease substantially in many important substrate areas given current growth and harvest levels, but hardwood supplies will increase. South. J. Appl. For. 14(3):124-133.

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