BBP132 Introduction to Statistics

3 ECTS - 2-0 Duration (T+A)- 2. Semester- 2 National Credit

Information

Unit FACULTY OF AGRICULTURE
GARDEN PLANTS PR.
Code BBP132
Name Introduction to Statistics
Term 2017-2018 Academic Year
Semester 2. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SEVGİ PAYDAŞ KARGI
Course Instructor Doç. Dr. SELMA TOKER KUTAY (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Learn the basic concepts of statistics, analysis and reviews statistical problems encountered

Course Content

Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learn some continuous distributions
LO02 Learn the methods of sampling and sample selection
LO03 Edit the data and analyzes
LO04 Understand measures of central tendency and dispersion measures
LO05 understand sampling distributions and the properties
LO06 Learn and use methods of estimation
LO07 Apply hypothesis testing
LO08 Make tests of the alignment and independence based on based on Chi-square


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - To have sufficient theoretical knowledge in basic engineering and agricultural engineering
PLO02 - To have sufficient theoretical knowledge in basic horticulture and also fruit, vegetable, vitis and ornamental growing and breeding subjects
PLO03 - To have technical kknowledge in subjects related to horticulture
PLO04 - Finding the source of environmental, biological, technical and economical problems in horticulture those reduce yield and quality and developing solutions based on researches
PLO05 - To define, entitle and grow fruit, vegetable, vineyard and ornamentals
PLO06 - Breeding in Horticulture, developing new cultivars and producing propagation materials of new developed varieties
PLO07 - Using and applying biotechnology in horticulture
PLO08 - Applying methods for preserving genetic resources and environment for sustainable usage in horticulture
PLO09 - Irrigation, fertilization, defining pests and diseases, considering and assaying changes after post-harvest storage in horticulture
PLO10 - Obatining data in horticulture, researching, considering, recording, consulting and expert ability, project writing and applying
PLO11 - 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
PLO12 - 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
PLO13 - 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.
PLO14 - Establishing-managing orchards, greenhouses and vineyards


Week Plan

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


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100

Update Time: 22.08.2017 04:18