COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Introduction to Statistics BBP   132 2 2 2 3

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 Res.Asst. Fikriye KURTOĞLU
Instructors
Dr. Öğr. ÜyesiSELMA TOKER KUTAY1. Öğretim Grup:A
 
Assistants
Goals
Learn the basic concepts of statistics, analysis and reviews statistical problems encountered
Content
Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test

Learning Outcomes
1) Learn some continuous distributions
2) Learn the methods of sampling and sample selection
3) Edit the data and analyzes
4) Understand measures of central tendency and dispersion measures
5) understand sampling distributions and the properties
6) Learn and use methods of estimation
7) Apply hypothesis testing
8) Make tests of the alignment and independence based on based on Chi-square
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
To have sufficient theoretical knowledge in basic engineering and agricultural engineering
X
2
To have sufficient theoretical knowledge in basic horticulture and also fruit, vegetable, vitis and ornamental growing and breeding subjects
3
To have technical kknowledge in subjects related to horticulture
X
4
Finding the source of environmental, biological, technical and economical problems in horticulture those reduce yield and quality and developing solutions based on researches
5
To define, entitle and grow fruit, vegetable, vineyard and ornamentals
6
Breeding in Horticulture, developing new cultivars and producing propagation materials of new developed varieties
7
Using and applying biotechnology in horticulture
8
Applying methods for preserving genetic resources and environment for sustainable usage in horticulture
9
Irrigation, fertilization, defining pests and diseases, considering and assaying changes after post-harvest storage in horticulture
10
Obatining data in horticulture, researching, considering, recording, consulting and expert ability, project writing and applying
X
11
Recognizing different roles those enchance the individual skills and undertaking role as a member of the work team and having skills in terms of team work under different conditions
12
Accessing to the relevant information for the purpose, analytical thinking and planning, questioning, having an exploratory and creative vision and using the obtained knowledge for the benefit of society
X
13
Transfering knowledge to filed working people with different levels, concacting, data presenting. Moreover updating theirselves in terms of science, culture, art and social areas regarding their individual interest and skills.
X
14
Establishing-managing orchards, greenhouses and vineyards

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 use pdf and properties of the normal distribution, calculate the mean and standard deviation , using the standard normal distribution table Source reading Lecture
Discussion
Problem Solving
2 Normal approximation to the binomial distribution, continuity correction and calculation of probability, the use of the table for given probability Source reading Lecture
Discussion
Problem Solving
3 Some continuous distributions and their characteristics, sampling and sample selection methods, Introduction to Data Analysis, Frequency Chart, Histogram, frequency polygon drawing Source reading Lecture
Discussion
Problem Solving
4 Measures of central tendency (mean, median, mode, geometric mean, harmonic mean) Source reading Lecture
Discussion
Problem Solving
5 Measures of Dispersion, Dal leaf display, Box drawing, Coefficient of Variation Source reading Lecture
Discussion
Problem Solving
6 Sampling Distributions and estimation, point estimation, estimators, mean and variance of the sample properties Source reading Lecture
Discussion
Problem Solving
7 Interval estimation for the population mean, t-distribution, (known and unknown, while sigma), chi-square, F distribution, sample size calculation Source reading Lecture
Discussion
Problem Solving
8 mid-term exam Review the topics discussed in the lecture notes and sources Testing
9 The range for the population variance estimation, interval estimation for the difference between two population means (mass variances are known, unknown) Source reading Lecture
Discussion
Problem Solving
10 estimation for the proportion of variance , interval estimation for the binomial parameter p, the interval for the difference of two binomial parameter estimation Source reading Lecture
Discussion
Problem Solving
11 Hypothesis tests, simple hypothesis testing, hypothesis testing for the population mean (variance of the population is known, unknown) Source reading Lecture
Discussion
Problem Solving
12 hypothesis testing for population the variance , hypothesis testing for the difference in the two group averages Source reading Lecture
Discussion
Problem Solving
13 Hypothesis test for the equality of population averages Source reading Lecture
Discussion
Problem Solving
14 Chi-square tests Source reading Lecture
Discussion
Problem Solving
15 Classification tables and problem-solving Source reading Lecture
Discussion
Problem Solving
16-17 Final exam Review the topics discussed in the lecture notes and sources Testing

Recommended or Required Reading
Textbook
Additional Resources