TÜRKÇE
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Information
| Unit | FACULTY OF AGRICULTURE |
| PEDOLOGY AND PLANT FEEDING PR. | |
| Code | BBT106 |
| Name | Statistics |
| Term | 2019-2020 Academic Year |
| Semester | 2. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 2 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Üniversite Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÖKHAN TAMER KAYAALP |
| Course Instructor |
Prof. Dr. ZEYNEL CEBECİ
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
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.
Course 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.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns the basic statistical concepts and terms |
| LO02 | Plans and organizes the simple experiments and gains skills in organizing and summarizing empirical data |
| LO03 | Understands the probability theory and gain s the skills in calculating simple probabilities |
| LO04 | Proficiency in basic inferential statistical data analysis |
| LO05 | Gains skills in basic analyses of two samples data |
| LO06 | Gains skills in computing basic descriptive statistics on univariate data |
| LO07 | Gains skills in understanding and interpreting the relationships between two variables |
| LO08 | Learns one-way ANOVA analysis |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has basic knowledge generally in Agricultural Sciences and specifically in Soil Science and Plant Nutrition | 2 |
| PLO02 | - | Gains basic information about the principles of the intended use of soils | 0 |
| PLO03 | - | Understands the principles of ecological farming in point of sustainable and ecological farming | 0 |
| PLO04 | - | Owns basic scientific information on plant nutrients and their applications which ensure healty nutritions of plants for high quality and economic plant production | 0 |
| PLO05 | - | Has the ability to identify, define, formulize and solve engineering problems. Choses and applies the appropriate analytical and modelling techniques for this purpose. | 5 |
| PLO06 | - | 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, | 1 |
| PLO07 | - | Carries the effective working ability and self-confidence for taking the responsibility in solo and team works | 3 |
| PLO08 | - | Queries, investigates, thinks analytically and produces project. | 4 |
| PLO09 | - | Has the awareness for following the developments in science and technology and renewing them continuously | 3 |
| PLO10 | - | Builds effective oral and written communication in Turkish and has enough knowledge in at least one foreign language | 2 |
| PLO11 | - | Uses information and communication technologies together with suitable softwares at an advanced level. | 4 |
| PLO12 | - | 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 | 3 |
| PLO13 | - | Has enough awareness of project management, workplace applicaitons, health of workers, and environment and job safety | 0 |
| PLO14 | - | Be aware of the legal results of their activities | 0 |
| PLO15 | - | Gains consciousness for professional and ethical resposibilities |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 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 | Preparation for the exam | |
| 9 | Interval estimation of a population proportion and estimation of a population mean, standard deviation known and unknown | Reading the relevant topic chapters from printed and/or e-books. | |
| 10 | 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 | Term Exams | Preparation for the exam | |
| 17 | Term Exams | Preparation for the exam |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 20 |
| General Assessment | ||
| Midterm / Year Total | 100 | 20 |
| 1. Final Exam | - | 80 |
| Grand Total | - | 100 |