COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistics * BBT   106 2 2 2 2

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator
Instructors
Prof.Dr.ZEYNEL CEBECİ1. Öğretim Grup:A
 
Assistants
Goals
This course aims to teach to interprete results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics including sampling, experimentation, variability, distribution, association, causation, estimation, confidence, hypothesis testing, and significance; to critically review and analyze statistical arguments.
Content
Topics include both descriptive and inferential statistics: variables; graphical analysis of one or more qualitative and quantitative variables; numerical summaries to measure characteristics such as the center of a distribution, variation in a distribution, and symmetry or skewness in a distribution; random sampling; the normal distribution; the Central Limit Theorem; one and two sample hypothesis tests and confidence intervals involving means and proportions; one-way analysis of variance; the chi-square goodness-of-fit test; the chi-square test concerning independence in a two-way contingency table; Pearson correlation and testing for significance with simple linear regression.

Learning Outcomes
-


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Has basic knowledge generally in Agricultural Sciences and specifically in Soil Science and Plant Nutrition
X
2
Owns basic scientific information on plant nutrients and their applications which ensure healty nutritions of plants for high quality and economic plant production
3
Understands the principles of ecological farming in point of sustainable and ecological farming
4
Has the ability to identify, define, formulize and solve engineering problems. Choses and applies the appropriate analytical and modelling techniques for this purpose.
X
5
Assimilates the information which is used for soil conservation, protection against every kinds of misuses and pollution
6
Analyses soils, their components or their actual process and plans them to accomplish the requirements of sustainable agriculture principles under real limitations
X
7
Prepares nutritional programmes for regular nutrition of plants cultivated in each kinds of soil or soilless growing medium
8
Leads to the application and development of new technolgies, methods and measuring systems in Soil Science and Plant Nutrition area, under the scope of scientific, economic and rational uses of agricultural areas,
9
Gains the perfection in every kinds of soil, plant, fertilizer and water analyses and their interpretations
X
10
Carries the effective working ability and self-confidence for taking the responsibility in solo and team works
X
11
Accesses to information and searches literatures for this purpose ,uses databases and other sources
X
12
Has the awareness for following the developments in science and technology and renewing them continuously
X
13
Builds effective oral and written communication in Turkish and has enough knowledge in at least one foreign language
14
Constantly improve themselves with determining their training needs in accordance with their interests and abilities in the scientific, cultural, artistic and social fields in addition to their professional development
X
15
Gains consciousness for professional and ethical resposibilities
16
Has enough awareness of project management, workplace applicaitons, health of workers, and environemt and job safety
X
17
Be aware of the legal results of their activities
18
Achieves awareness of the universal and public results of professional solutions and applicaitons and understands the importance of entrepreneurship and modernism
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Introduction to statistics, Definition of terms and basic concepts, Statistical symbols, Data and Variables, Variable types Search for learning resources on Introduction to statistics on the Internet, and reading the texts about definition and goals of statistics.
2 Population, Samples and Sampling Reading the relevant topic chapters from printed and/or e-books.
3 Numerical and visual summarizing data, Frequency tables, Histograms, Charts, Type of graphics, Interpretation of distributions Download and setup R statisctical package from The Comprehensive R Archive Network, and search for R tutorials on the Internet and download some of them
4 Measures of central tendency, arithmetic mean, weighted mean, harmonic mean, geometric mean, truncated mean, mode, median, quartiles, quantiles and percentiles Reading the relevant topic chapters from printed and/or e-books.
5 Measures of variation/dispersion: Range, Variance, Standard deviation, Coefficient of variation, Skewness and Curtosis, Standard error of mean Reading the relevant topic chapters from printed and/or e-books.
6 Introduction to probability: Probability rules, experiment, sample space, simple event, event, complement of an event, union and intersections of events, probability of an event, conditional probabilities, independent events, mutually exclusive events and Venn diagrams Reading the relevant topic chapters from printed and/or e-books. Download and setup Java applets related with probability
7 Discrete probability distributions: Binomial distributions, Poisson distributions Reading the relevant topic chapters from printed and/or e-books.
8 Mid-Term Exam Reading the relevant topic chapters from printed and/or e-books.
9 Midterm Exam Reading the relevant topic chapters from printed and/or e-books.
10 Interval estimation of a population proportion and estimation of a population mean, standard deviation known and unknown; determining sample size Reading the relevant topic chapters from printed and/or e-books.
11 Null and alternative hypothesis; type I and type II errors; Tests on population meansand proportions Reading the relevant topic chapters from printed and/or e-books.
12 Tests about differences between the means of two populations, independent samples and matched samples, Tests about the differences in proportion. Hypothesis tests about population variances and two population variance Reading the relevant topic chapters from printed and/or e-books
13 Chi-square analysis: Goodness of fit test; test of independence using contingency tables Reading the relevant topic chapters from printed and/or e-books.
14 Analysis of bivariate data: Estimation of correlation ve linear regression, Scatter plots Reading the relevant topic chapters from printed and/or e-books.
15 Introduction to one-way ANOVA Reading the relevant topic chapters from printed and/or e-books.
16-17 Term Exams

Recommended or Required Reading
Textbook
Additional Resources