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AG060-310 Applied Statistics for Ago-Industry

Topic

Basic statistics and application of statistics in Agro-industry

By

Associate Professor Dr. Narumol Matan

Food Science and Technology School of Agricultural Technology

Walailak University 1/2019

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Applied Statistics for Ago-Industry

The method involves the formulation of research goals, the design of observational studies and/or experiments, the collection of data, the modeling/analyzing of the data in the context of research goals, and the testing of hypotheses. Statics is the science of designing studies or experiments, collecting data and modeling/analyzing data for the purpose of decision marking and scientific discovery when the available information is both limited and variable. Applied statistics is divided into Basic statistics, linear programming, T-test and analysis of variance for statistical analysis, regression analysis, and application of statistics in Agro-industry Why study statistics? Every person is exposed to manufactures’ claims for products. Many of these results are inferences based on sampling. Your profession or employment may require you to interpret the results of sampling. In addition, tends in food science indicate an increasing use of probability and statistical inference in evaluating the quality of evidence. The use of statistics in food science in essential because all these sciences make use of observation of natural phenomena, through sample surveys or experimentation. Examples

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Fig.1. Development of Pectobacterium carotovorum subsp. carotovorum 24 h after the application of different UV-C doses (n = 5). Values followed by the same letter do not differ between them (Scott–Knott, p = 0.05).

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Important of Data Figure 4 Population and sample

1) Quantitative data

2) Qualitative data or categorical data

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Data Description Frequency distribution for quantitative variable 1 The frequency distribution is an effective oraanizing device, but some information is lost. Table 1 Principal rice exporting countries worldwide in 2018/2019 (in 1,000 metric tons) Top Exporters In 1,000 metric tons Percent of Total India 12,500 Thailand 10,300 Vietnam 7,000 Pakistan 4,250 United States 3,200 Burma 3,000 China 1,900 Cambodia 1,300 Brazil 850 Uruguay 800

India28%

Thailand23%Vietnam

15%

Pakistan9%

United States7%

Burma7%

China4%

Cambodia3%

Brazil2%

Uruguay 2%

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India28%

Thailand23%Vietnam

15%

Pakistan9%

United States7%

Burma7%

China4%

Cambodia3%

Brazil2%

Uruguay 2%

12,500

10,300

7,000

4,250

3,200

3,000

1,900

1,300

850

800

0 2,000 4,000 6,000 8,000 10,000 12,000 14,000

INDIA

THAILAND

VIETNAM

PAKISTAN

UNITED STATES

BURMA

CHINA

CAMBODIA

BRAZIL

URUGUAY

0

5

10

15

20

25

30

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

India Thailand Vietnam Pakistan UnitedStates

Burma China Cambodia Brazil Uruguay

Series1 Series2

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Homework 1 Please show how to plot this graph? And please convert to bar graph

2 From the table (below) please show how to plot pie and bar graph? 2.1-2.9 Table 2 Per Capita Income of Population by Region (Thailand), between 2001-2012 Source: National Statistical Office (2014), Ministry of Information and Communication Technology, Thailand

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3 Please show how to plot this graph? And please convert to pie graph 3.1-3.2

4 3 Please show how to plot this graph? And please convert to pie graph 3.1-3.2

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References Lyman Ott, R. 2010. An introduction to statistical methods and data analysis. Brooks/Cole, Cengage Learning, 1273 p. Roger E. Kirk. 2008. Statistics: An introduction. Thomson Wadsworth, Canada, 649 p. https://asia.nikkei.com/Economy/Asia-s-rice-exporters-trigger-a-price-war https://kyotoreview.org/yav/the-challenging-circumstances-and-future-prospects-for-thai-rice-farmers/ https://www.statista.com/statistics/255947/top-rice-exporting-countries-worldwide-2011/ https://www.world-grain.com/articles/11126-grain-market-review-rice