Statistical Analysis: Marine Capture Production of West Bengal, Andhra Pradesh and Kerala

2021 ◽  
Vol 12 (5) ◽  
pp. 370-376
Author(s):  
M. Rajan ◽  
◽  
A. Balasubramanian ◽  
Keyword(s):  
Standard Deviation ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Descriptive Statistics ◽  
Skewed Distribution ◽  
Production Data ◽  
Fish Production ◽  
Central Tendency ◽  
Marine Products ◽  
Significant Production

In this study, basic statistical tools viz., measure of central tendency, dispersion, skewness, correlation and ANOVA tests were applied to analyze the marine capture production data of different groups like Pelagic, Demersal, Crustaceans and Molluscs collected from Marine Products Exports Development Authority, Cochin for the period from 1985 to 2011 pertaining to three costal states of India such as West Bengal, Andhra Pradesh and Kerala. Each group of fish was considered as a treatment for the chosen time series period. Descriptive statistics revealed the elevation of production levels of different groups for states studied. Molluscs production from Andhra Pradesh did not vary much between the years having low standard deviation (918.46) while pelagic fish production varied highly in Kerala having standard deviation (86818.71). In the case of crustaceans, West Bengal had high coefficient of variance (100) and Kerala had low coefficient of variance (19.50) for demersal group. Various kinds of skewed distribution could be observed between groups in all three states. Marine fish productions of different groups from the states of West Bengal and Andhra Pradesh had good correlation except with Kerala where even negative production was observed especially in crustacean production. ANOVA also endorsed that significant production level among various fish groups could be observed in all the states. Similarly, the fish production of every group obtained from the states of West Bengal and Andhra Pradesh differed significantly with Kerala despite no difference in various fish production between the states of West Bengal and Andhra Pradesh could be found.

15. Quantitative Analysis: Description and Inference

2020 ◽  
pp. 393-421
Author(s):  
Sandra Halperin ◽  
Oliver Heath
Keyword(s):  
Quantitative Analysis ◽  
Standard Deviation ◽  
Confidence Intervals ◽  
Quantitative Research ◽  
Building Blocks ◽  
Descriptive Statistics ◽  
Central Tendency ◽  
Margin Of Error ◽  
Univariate Statistics ◽  
The Mean

This chapter deals with quantitative analysis, and especially description and inference. It introduces the reader to the principles of quantitative research and offers a step-by-step guide on how to use and interpret a range of commonly used techniques. The first part of the chapter considers the building blocks of quantitative analysis, with particular emphasis on different ways of summarizing data, both graphically and with tables, and ways of describing the distribution of one variable using univariate statistics. Two important measures are discussed: the mean and the standard deviation. After elaborating on descriptive statistics, the chapter explores inferential statistics and explains how to make generalizations. It also presents the concept of confidence intervals, more commonly known as the margin of error, and measures of central tendency.

scholarly journals Factors Contributing to the Development of E-Commerce by the Degree of use in Latvia

2020 ◽  
Vol 1 (14) ◽  
pp. 207-216
Author(s):  
Inga Jekabsone ◽  
Ina Gudele
Keyword(s):  
Standard Deviation ◽  
Social Factors ◽  
Positive Impact ◽  
Scientific Publication ◽  
Theoretical Background ◽  
Arithmetic Mean ◽  
Descriptive Statistics ◽  
Decision Makers ◽  
Central Tendency ◽  
Survey Results

Several studies have recognized that e-commerce can have a positive impact on any type of business, making enterprises work faster, more efficient and more economical. Taking into account different degrees of e-commerce use, it is important to analyse the factors contributing to the development of the e-commerce in respective enterprises, so decision-makers can develop the strategy accordingly. Purpose of the study is to analyse the factors contributing to the development of the e-commerce in Latvia by the degree of use of e-commerce. The tasks of the study: 1) to review theoretical background of factors contributing to the development of the e-commerce depending on the degree of use of e-commerce in the enterprise; 2) to review existing research of factors contribution to the development of the e-commerce in EU; 3) to analyse the results of conducted survey among Latvian entrepreneurs in context of factors contributing to the development of the e-commerce depending on the degree of use of e-commerce in the respective enterprises. Research methods used in preparation of the paper: scientific publication and previous conducted research results analysis, analysis of the results of the survey on Latvian entrepreneurs. Survey results are analysed using indicators of descriptive statistics (indicators of central tendency or location - arithmetic mean, mode, median), indicators of variability (indicators of dispersion - range, standard deviation and standard error of mean), analysis of variance - ANOVA are used. The survey showed that there are significant differences in the assessment of the groups of factors “Social factors” and “Regulatory factors” between entrepreneurs who take full advantage of e-commerce opportunities and those who do not use them at all. In order to promote the use of e-commerce possibilities, different trainings and programmes  are expected to be development to improve the  knowledge, skills and competences of  employers and employees  in the area of e-commerce.      

15. Quantitative Analysis

2017 ◽  
Author(s):  
Sandra Halperin ◽  
Oliver Heath
Keyword(s):  
Quantitative Analysis ◽  
Standard Deviation ◽  
Confidence Intervals ◽  
Quantitative Research ◽  
Building Blocks ◽  
Descriptive Statistics ◽  
Central Tendency ◽  
Margin Of Error ◽  
Univariate Statistics ◽  
The Mean

This chapter deals with quantitative analysis, and especially description and inference. It introduces the reader to the principles of quantitative research and offers a step-by-step guide on how to use and interpret a range of commonly used techniques. The first part of the chapter considers the building blocks of quantitative analysis, with particular emphasis on different ways of summarizing data, both graphically and with tables, and ways of describing the distribution of one variable using univariate statistics. Two important measures are discussed: the mean and the standard deviation. After elaborating on descriptive statistics, the chapter explores inferential statistics and explains how to make generalizations. It also presents the concept of confidence intervals, more commonly known as the margin of error, and measures of central tendency.

scholarly journals Assessment of Green House Gases (GHGS) Emission from Some Aquaculture Ponds of Andhra Pradesh and West Bengal, India

2020 ◽  
Vol 1 (6) ◽  
pp. 241-245
Author(s):  
Subhendu Adhikari ◽  
Subhas Sarkar ◽  
Mandal RN ◽  
Ramesh Rathod ◽  
Bindu R Pillai
Keyword(s):  
Carbon Storage ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Carbon Equivalent ◽  
Fish Production ◽  
Gas Emission ◽  
Green House ◽  
Green House Gas ◽  
Aquaculture Ponds ◽  
Footprint Analysis

The Green House Gas Emission (GHGs) from the carp culture ponds (n = 12) of West Godavari, Krishna, and Guntur districts of Andhra Pradesh and from the ponds (n = 4) of Moyna, East Medinipur district of West Bengal, India was assessed through carbon storage and carbon footprint analysis. The average inputs as Carbon Equivalent (CE) were 14407 ± 2651, and 9231 ± 1007 kg/ha in Andhra Pradesh, and West Bengal, respectively. The average carbon storage were 6216 ± 2291, and 5360 ± 1439 kg/ha, in Andhra Pradesh, and Moyna, West Bengal respectively. The emissions of CO2-e and CH4-e were 1.91 ± 0.42 kg CO2-e/kg fish and 0.122 ± 0.027 kg CH4-e/kg fish, respectively in Andhra Pradesh. The emissions of CO2-e and CH4-e were 0.006 to 2.07 (average 0.72) kg CO2-e /kg fish, and 0.0004 to 0.132 (average 0.046) kg CH4-e /kg fish production, respectively in Moyna, West Bengal.

Revision of the bamboo leafhopper tribe Mukariini (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of new genera and species

Zootaxa ◽  
2019 ◽  
Vol 4547 (1) ◽  
pp. 1
Author(s):  
C.A. VIRAKTAMATH ◽  
M.D. WEBB
Keyword(s):  
Sri Lanka ◽  
Type Species ◽  
Tamil Nadu ◽  
Andhra Pradesh ◽  
West Bengal ◽  
New Records ◽  
Indian Subcontinent ◽  
Madhya Pradesh ◽  
New Genera ◽  
New Subgenus

Leafhopper genera and species of the tribe Mukariini from the Indian subcontinent are revised. Nine genera and 22 species including two new genera, one new subgenus and 12 new species are dealt with. The new taxa described are Aalinga gen. nov. with its type species Aalinga brunoflava sp. nov. (India: Andaman Islands), Buloria indica sp. nov. (India: Karnataka). Buloria zeylanica sp. nov. (Sri Lanka), Flatfronta bella sp. nov. (India: Karnataka; Bangladesh), Mohunia bifurcata sp. nov. (Myanmar), Mukaria omani sp. nov. (India: Gujarat, Karnataka, Madhya Pradesh), Mukaria vakra sp. nov. (India: Karnataka), Mukariella gen. nov. with its type species Mukariella daii sp. nov. (India: Manipur), Myittana (Benglebra) cornuta sp. nov. (India: Karnataka), Myittana (Myittana) distincta sp. nov. (India: Karnataka), Myittana (Savasa) subgen. nov. with its type species Myittana (Savasa) constricta sp. nov. (India: Andhra Pradesh, Gujarat, Haryana, Himachal Pradesh, Karnataka, Madhya Pradesh, Punjab, Tamil Nadu, Uttarakhand) and Scaphotettix arcuatus sp. nov. (India: West Bengal, Meghalaya, Mizoram). Genera Buloria Distant (new placement), Crispina Distant (new placement) and Myittana Distant (new placement) are placed in the tribe Mukariini. Genus Mohunia is redefined based on the study of its type species. Benglebra Mahmood & Ahmed 1969 is synonymised with Myittana Distant 1908 and considered as its subgenus. Myittana (Benglebra) alami (Mahmood & Ahmed) comb. nov., Myittana (Savasa) bipunctata (Mahmood & Ahmed) comb. nov.. Myittana (Benglebra) introspina (Chen & Yang 2007) comb. nov. and Mukariella bambusana (Li & Chen) comb. nov. are proposed; the first two species were earlier placed in the genus Benglebra, the third species in the genus Mohunia and the fourth in the genus Mukaria. Genera Flatfronta Chen & Li and Myittana are new records for India and Scaphotettix striata Dai & Zhang is a new record for the Indian subcontinent and Sri Lanka. All taxa dealt with are described and illustrated and keys for genera and their species are also given. 

Aceria cajani. [Distribution map].

2011 ◽  
Author(s):  
Keyword(s):  
Sri Lanka ◽  
Geographical Distribution ◽  
Cajanus Cajan ◽  
Tamil Nadu ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Uttar Pradesh ◽  
Madhya Pradesh ◽  
Distribution Map ◽  
New Distribution

Abstract A new distribution map is provided for Aceria cajani Channabasavanna. Acari: Eriophyidae. Host: pigeon peas (Cajanus cajan). Information is given on the geographical distribution in Asia (Bangladesh, China, Guangdong, Guangxi, Hainan, Yunnan, India, Andhra Pradesh, Bihar, Delhi, Gujarat, Haryana, Karnataka, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh, West Bengal, Myanmar, Nepal, Sri Lanka and Thailand).

Chilo sacchariphagus. [Distribution map].

2012 ◽  
Author(s):  
Keyword(s):  
Oryza Sativa ◽  
Tamil Nadu ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Uttar Pradesh ◽  
Saccharum Officinarum ◽  
Distribution Map ◽  
Chilo Sacchariphagus ◽  
Brunei Darussalam ◽  
New Distribution

Abstract A new distribution map is provided for Chilo sacchariphagus (Böjer). Lepidoptera: Crambidae. Hosts: rice (Oryza sativa), sugarcane (Saccharum officinarum), sorghum (Sorghum bicolor) and maize (Zea mays). Information is given on the geographical distribution in Asia (Bangladesh, Brunei Darussalam, Cambodia, China (Guangdong, Hebei, Hong Kong, Hunan, Jiangsu), India (Andhra Pradesh, Delhi, Gujarat, Karnataka, Tamil Nadu, Uttar Pradesh, West Bengal), Indonesia (Java, Sumatra), Iran, Japan, Laos, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Vietnam), Africa (Comoros, Madagascar, Mauritius, Mozambique, Reunion, Tanzania).

Rastrococcus iceryoides. [Distribution map].

1995 ◽  
Author(s):  
Keyword(s):  
Tamil Nadu ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Uttar Pradesh ◽  
Fruit Trees ◽  
Peninsular Malaysia ◽  
Distribution Map ◽  
Samanea Saman ◽  
New Distribution ◽  
Albizia Lebbek

Abstract A new distribution map is provided for Rastrococcus iceryoides (Green) Homoptera: Coccoidea, Pseudococcidae Mango mealybug. Attacks cacao, mango and other fruit trees, cotton, Albizia lebbek[Albizia lebbeck], rain-tree (Samanea saman). Information is given on the geographical distribution in AFRICA, Kenya, Malawi, Tanzania, ASIA, Andaman Islands, Bangladesh, India, Andhra Pradesh, Assam, Bihar, Delhi, Gujarat, Jammu & Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Orissa, Tamil Nadu, Uttar Pradesh, West Bengal, Indonesia, Sulawesi, Malaysia, Sarawak, Peninsular Malaysia, Singapore, Sri Lanka.

Diaphorina citri. [Distribution map].

2001 ◽  
Author(s):  
Keyword(s):  
Tamil Nadu ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Uttar Pradesh ◽  
Peninsular Malaysia ◽  
Diaphorina Citri ◽  
Distribution Map ◽  
Jammu And Kashmir ◽  
New Distribution ◽  
Distribution In Europe

Abstract A new distribution map is provided for Diaphorina citri Kuwayama. Hemiptera: Psylloidea: Psyllidae Attacks Citrus and Murraya spp. Information is given on the geographical distribution in EUROPE, France, ASIA, Afghanistan, Bangladesh, China, Fujian, Guangdong, Guangxi, Henan, Hong Kong, Macau, Zhejiang, India, Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Delhi, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Karnataka, Kerala, Lakshadweep, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttar Pradesh, West Bengal, Indonesia, Java, Maluku, Nusa Tenggara, Sumatra, Japan, Ryukyu Archipelago, Laos, Malaysia, Peninsular Malaysia, Sabah, Maldives, Myanmar, Nepal, Pakistan, Philippines, Saudi Arabia, Singapore, Sri Lanka, Taiwan, Thailand, Vietnam, Yemen, AFRICA, Mauritius, Reunion, NORTH AMERICA, USA, Florida, Hawaii, CENTRAL AMERICA & CARIBBEAN, Bahamas, Guadeloupe, SOUTH AMERICA, Brazil, Amazonas, Bahia, Ceara, Para, Pemambuco, Rio de Janeiro, Sao Paulo, Paraguay, Uruguay, Venezuela.

Hishimonus phycitis. [Distribution map].

2015 ◽  
Author(s):  
Keyword(s):  
United Arab Emirates ◽  
Tamil Nadu ◽  
Andhra Pradesh ◽  
West Bengal ◽  
Solanum Melongena ◽  
Uttar Pradesh ◽  
Distribution Map ◽  
Jammu And Kashmir ◽  
New Distribution ◽  
Hishimonus Phycitis

Abstract A new distribution map is provided for Hishimonus phycitis (Distant). Hemiptera: Cicadellidae. Hosts: Citrus spp. and aubergine (Solanum melongena). Information is given on the geographical distribution in Asia (China, Hainan, India, Andhra Pradesh, Bihar, Delhi, Gujarat, Haryana, Jammu and Kashmir, Karnataka, Kerala, Maharashtra, Meghalaya, Indian Punjab, Tamil Nadu, Uttar Pradesh, West Bengal, Iran, Oman, Pakistan, Philippines, Sri Lanka, Taiwan, Thailand and United Arab Emirates).

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