Some statistical tools in hydrology

1968 ◽  
Keyword(s):  
Statistical Tools

THE BALANCE OF PROBABILITY: STATISTICS AND THE DIACHRONIC STUDY OF ANCIENT HEBREW

2017 ◽  
Vol 25 (2) ◽  
pp. 927-960
Author(s):  
Jarod Jacobs
Keyword(s):  
Dead Sea Scrolls ◽  
Dead Sea ◽  
Biblical Hebrew ◽  
Large Datasets ◽  
Dual Function ◽  
Statistical Tools ◽  
Masoretic Text ◽  
Linguistic Research ◽  
Recent Debate ◽  
Diachronic Study

In this article, I discuss three statistical tools that have proven pivotal in linguistic research, particularly those studies that seek to evaluate large datasets. These tools are the Gaussian Curve, significance tests, and hierarchical clustering. I present a brief description of these tools and their general uses. Then, I apply them to an analysis of the variations between the “biblical” DSS and our other witnesses, focusing upon variations involving particles. Finally, I engage the recent debate surrounding the diachronic study of Biblical Hebrew. This article serves a dual function. First, it presents statistical tools that are useful for many linguistic studies. Second, it develops an analysis of the he-locale, as it is used in the “biblical” Dead Sea Scrolls, Masoretic Text, and Samaritan Pentateuch. Through that analysis, this article highlights the value of inferential statistical tools as we attempt to better understand the Hebrew of our ancient witnesses.

Pulse and Progress of Venture Capital Financing in India: An Analytical Study

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 553-562
Author(s):  
Dr. Devarajappa S
Keyword(s):  
Venture Capital ◽  
Capital Investment ◽  
Analytical Study ◽  
Economic Empowerment ◽  
Statistical Tools ◽  
Venture Capital Investment ◽  
Secondary Sources ◽  
Current Trends ◽  
Capital Financing ◽  
Secondary Information

The Main objective of the paper is to examine the current trends and progress of the venture capital in India and the paper also highlights the concept and stages of financing of venture capital. To meet the aim objective of the study the researcher used secondary sources. The required secondary information has been collected through various articles, reports, magazines’ and websites. To examine the trends of venture capital in India, IVCA (Indian Venture Capital Association) report is used.  For the purpose of examine the data; the statistical tools like Mean, Standard Deviation, Charts and ANOVA, Correlation coefficient have been employed.   The study concludes that, the venture capital investment has been increasing in India and this is the positive indication for the country, to curb the unemployment, economic empowerment of people through maximizing startups in India

Comparsion Of Efficency Of Cucumber Production In Poly-House

2019 ◽  
Vol 8 (9) ◽  
pp. 22-30
Author(s):  
SONIA HOODA
Keyword(s):  
Open Field ◽  
Resource Use ◽  
Secondary Data ◽  
Sampling Technique ◽  
Farming System ◽  
Primary Data ◽  
Statistical Tools ◽  
Average Percentage ◽  
Net Returns ◽  
Douglas Production Function

The study has made an attempt on resource use and economic efficiency of cucumber production under poly-house farming and open field farming. Primary data collected by using purposive sampling technique from selected districts. Sample of 50 farmers (25 Poly-house farmers and 25 Open field farmers) was taken from each district on the basis of availability. Secondary data was collected from Horticulture Department. For data analysis statistical tools average, percentage and Linear Cobb-Douglas Production Function was used. The study found that the yield of cucumber was more under poly-house farming as compare to open field farming system. The reason behind this was long harvesting period and more number of fruits per plant under poly-house farming conditions. The data specifies higher net returns per acre of cucumber under poly-house farming over open field farming, which implicit poly-house farming not only highly profitable but also economically viable as compared to open field farming in study area.

Perception of irrigation farmers’ livelihood on a changing climate in the Upper West region of Ghana

2017 ◽  
Vol 3 (2) ◽  
pp. 30-36
Author(s):  
E. Amankwah, V. Hans-Jürgen
Keyword(s):  
Social Sciences ◽  
Food Production ◽  
Formal Education ◽  
Anthropogenic Activities ◽  
Primary Data ◽  
Crop Failure ◽  
Statistical Tools ◽  
Changing Climate ◽  
West Region ◽  
Irrigation Practice

Agriculture in the Upper West region is primarily subsistence and rain-fed, and irrigation practice is significantly furrow andthe use of traditional watering can. This historical approach to agriculture is predicted to suffer severe setbacks due to climatechange. This research therefore explores farmers’ perception of climate change and its impact and how the farmers can cope withthe changing climate. The primary data was gathered through field observation, interviews and administration of questionnairesto about 400 irrigation farmers in three districts of the Upper West region. The data was analysed using 1. Statistical Packagefor Social Sciences (SPSS) and basic statistical tools. It was discovered that 62% of the farmers had no formal education withmajority above 50 years of age. Over 80% have observed rising temperatures and declining rainfall over the last few decades.This has led to higher evaporation and siltation of irrigation dams, higher transpiration of crops and water stress resultingin low crop yield, crop failure and food insecurity. The research also highlights anthropogenic activities that have influencedclimate variability and food production in the region. The research was concluded with suggested strategies to facilitate farmers’adaptation to climate variability.

LOCUS OF CONTROL AND EMPLOYEE ENGAGEMENT AMONG THE EMPLOYEES OF AUTOMOBILE INDUSTRY

2015 ◽  
Vol 6 (01-02) ◽  
Author(s):  
P. Paramanandam ◽  
K. Sangeetha
Keyword(s):  
Locus Of Control ◽  
Employee Engagement ◽  
Automobile Industry ◽  
Significant Positive Correlation ◽  
Income Group ◽  
Age Group ◽  
Statistical Tools ◽  
Convenience Sample ◽  
Income Groups ◽  
Group A

Locus of control reflects the extent to which individuals believe that what happens to them is within their control, or beyond it. The objective of the present study was to study locus of control and employee engagement among the employees of automobile industry. A convenience sample consisting of ninety employees working in automobile industry participated in the study. By administering questionnaires locus of control and employee engagement among the employees were assessed. The collected data was analysed with various statistical tools like Mean, Standard Deviation, Correlation, regression and ANOVA tests. A higher level of locus of control was observed among the above 50 years age group and a higher level of employee engagement among the 41-50 age group. A higher level of locus of control and employee engagement was observed among the above 30000 income group. There were significant differences in locus of control and employee engagement among the respondents of different income groups. There was a significant positive correlation between locus of control and employee engagement. Approximately 18% of the variance of employee engagement was explained by locus of control.

Pengaruh Etika Bisnis Islam Terhadap Kesejahteraan Pedagang (Studi Kasus Pedagang Pusat Pasar Medan)

2019 ◽  
Vol 4 (1) ◽  
pp. 185
Author(s):  
Ya’ti Ikhwani Nasution
Keyword(s):  
Free Will ◽  
Quantitative Research ◽  
Statistical Tools ◽  
Independent Variables ◽  
Islamic Business Ethics ◽  
Negative Effect ◽  
Data Collection Technique ◽  
Questionnaire Method ◽  
Market Center ◽  
Positive Effect

The purpose of this study is to find out whether there is an influence of Islamic business ethics with the variables of unity, equilibrium, free will, responsibility, benevolence and the welfare of traders in the Pusat Pasar Medan. This research is a quantitative research and the analysis used is multiple regression analysis. The data collection technique used is the questionnaire method obtained directly from the respondent, namely the Pusat Pasar Medan Trader. Analyzed using statistical tools, namely SPSS Version 22. Based on the results of data processing has shown that there is a significant influence as partially and simultaneously among the unity, equilibrium, free will, responsibility and benovelence towards the welfare of traders in the Medan Market Center. For unity, free will, responsibility and benovelence have a positive effect on the welfare of traders in Medan Market Center. While the equilibrium variable has a negative effect on the welfare of Medan Market Center traders. The adjusted R square value is 0.345. This means that 34.5% increase in welfare can be explained by independent variables, namely the variables of unity, equilibrium, free will, responsibility and kindness. While 65.5% is explained by other factors.

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

Using Large Data Sets and Statistical Tools to Define “Failure” and Demonstrate the Safety of DPR

2018 ◽  
Vol 2018 (6) ◽  
pp. 38-39
Author(s):  
Austa Parker ◽  
Yan Qu ◽  
David Hokanson ◽  
Jeff Soller ◽  
Eric Dickenson ◽  
...  
Keyword(s):  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Statistical Tools
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