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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BIO 539STATISTICAL TECHNIQUES USED IN POSITIVE SCIENCES3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Compulsory
Course Objective To give information about statistical techniques used in positive sciences.
Course Content Research planning, data collection and types of data; Design of tables and graphs. The calculation of descriptive statistics (mean, standard deviation, standard error, median, minimum and maximum values); The introduction of Excel, Minitab and SPSS statistical programmes and their usage; The data types, how to collect and summarize these data with tables and graphs. The types of the statistical tests, hypothesis and how the accept or reject the hypothesis and type 1 and 2 errors; The calculation and obtaining the results via computer programmes and the interpretation of the results of Chi-square test, the regression and correlation analyses, t-test with matched unmatched samples; The calculation.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Describes data used in biological studies.
2Describes standard deviation, standard error and varians analysis.
3Describes chi-square test, corelation and regration.
4Gives examples of error checks.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 001455544     
LO 002  45 45    
LO 00344 5       
LO 004 3 3       
Sub Total812918485    
Contribution23251210000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)129108
Assignments21530
Mid-terms11515
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall2YAKUP KASKA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BIO 539 STATISTICAL TECHNIQUES USED IN POSITIVE SCIENCES 3 + 0 2 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. YAKUP KASKA caretta@pau.edu.tr MUH A0197 %
Goals To give information about statistical techniques used in positive sciences.
Content Research planning, data collection and types of data; Design of tables and graphs. The calculation of descriptive statistics (mean, standard deviation, standard error, median, minimum and maximum values); The introduction of Excel, Minitab and SPSS statistical programmes and their usage; The data types, how to collect and summarize these data with tables and graphs. The types of the statistical tests, hypothesis and how the accept or reject the hypothesis and type 1 and 2 errors; The calculation and obtaining the results via computer programmes and the interpretation of the results of Chi-square test, the regression and correlation analyses, t-test with matched unmatched samples; The calculation.
Topics
WeeksTopics
1 • Descriptive statistics, Deductive statistics and some statistical terms.
2 • The calculation of descriptive statistics (mean, standard deviation, standard error, median, minimum and maximum values).
3 • The introduction of Excel,
4 • The introduction of Minitab and SPSS statistical programmes and their usage.
5 • The data types, how to collect and summarize these data with tables and graphs.
6 • The types of the statistical tests, hypothesis and how the accept or reject the hypothesis and type 1 and 2 errors.
7 • The calculation and obtaining the results via computer programmes and data entering.
8 • the interpretation of the results of Chi-square test, the regression and correlation analyses, t-test with matched unmatched samples,
9 • The calculation and obtaining the results via computer programmes and the interpretation of the results of Analyses of variance with one-way
10 • The calculation and obtaining the results via computer programmes and the interpretation of the results of Analyses of variance with two-way and Tukey.
11 • The calculation and obtaining the results via computer programmes and the interpretation of the results of Kruskal-Wallis variance analyses
12 • The calculation and obtaining the results via computer programmes and the interpretation of the results of Mann-Whitney U test.
13 • The comparison of these tests with different examples, which test to which data?
14 • The preparation of a model of scientific research, writing the reports and the application the tests to the data obtained.
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes