Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
ISG-23-136İŞ SAĞLIĞI VE GÜVENLİĞİNDE İSTATİSTİKElective126
Level of Course Unit
Second Cycle
Objectives of the Course
The aim of this course is to enable researchers to use and apply statistical concepts and statistical tests. The course includes basic statistical concepts and the use of statistical techniques. Within the scope of the course, it is taught how to use these techniques practically in the computer environment.
Name of Lecturer(s)
Dr. Öğretim Üyesi Turgay Demirel
Learning Outcomes
1To know the basic concepts and methods related to statistics
2Recognizing the importance of statistics in scientific research
3Ability to properly read statistical representations such as graphs and tables
4To be able to make sense of central tendency and diffusion measures
5Being able to comment on the relevant group by interpreting certain parameters based on the characteristics of the normal distribution.
6Knowing the rationale and steps of hypothesis testing
7Ability to select and use appropriate tests to compare group means
8Organizing, applying, and analyzing data to reveal relationships between values
9To be able to perform mean comparison and correlation calculations by using parametric and non-parametric tests in SPSS program, to be able to show and interpret analysis findings appropriately.
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
-
Recommended Optional Programme Components
-
Course Contents
Introduction to Statistics, Basic Concepts (Variables, Scales) Frequency Distributions Using Tables and Graphs, Central Tendency and Distribution Measures, Normal Distribution, Skewness and Kurtosis, Statistical Tests and General Principles, Hypothesis Test Process, t-Test, Analysis of Variance, Correlation, Non- Parametric Tests
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction to Statistics Giving information about the aim, scope and resources of the course Introduction to Statistics Use of Statistics in Research Descriptive and Predictive Statistics Population, SampleSPSS SetupGeneral introduction of SPSS
2Basic Concepts (Variables, Scales) Frequency Distributions Using Tables and Graphs Frequency Distributions Tables and Properties Table Types Frequency Table Crosstab Graphics and Features Chart Types Bar, Pie, Histogram, Boxplot, Line, Scatter (Scatter plot)Entering data into SPSS frequency table creation Graph creationEntering data into SPSS frequency table creation Graph creation
3Central Tendency and Distribution Measures Central Tendency Measures Mean, Median, Mode Central Distribution Measures Variance, Standard Deviation, Range, Quarter Deviation(Interquartil), PercentileCleaning up data Re-coding Total score and average score calculation Descriptive statistics applicationsCleaning up data Re-coding Total score and average score calculation Descriptive statistics applications
4Normal Distribution, Skewness and Kurtosis Normal distribution Standard Normal Distribution (Z-Score) Distortion Kurtosis Normality Tests and reporting Kolmogorov-Smirnov Test Shapiro-Wilk Test Transforming DataChecking the normal distributionChecking the normal distribution
5Tests and General Principles Precision Level Range Estimation Sample Distribution Central Limit Theorem Standard error Confidence Interval meaningfulness assumptionsData Entry applicationData Entry application
6Hypothesis Testing Process Hypothesizing Zero Hypothesis (Null Hypothesis) Counter-Hypothesis/Research Hypothesis (Alternative Hypothesis) Setting the Decision Rule Test Calculation One-way and Two-Way Test (Onetailed two-tailed test) Significance Value (pvalue) Type I and Type II error (Type I and Type II error) Statistical Power To decideHypothesis testing questions
7MIDTERM EXAM
8t-Test What is t-test? t-test Assumptions t-test types Single sample t-Test (Onesample t-test) ReportingMaking dependent and independent samples t-test on the data, interpreting it, writing the APA conclusion sectionMaking dependent and independent samples t-test on the data, interpreting it, writing the APA conclusion section
9Analysis of Variance What is Analysis of Variance? Analysis of Variance Assumptions Variance Homogeneity (Levene Test) Rate of Variability Types of Analysis of Variance One Way Variance analysis For Repeated Measurements One-way ANOVA Factorial ANOVA Covariance Analysis One-way ANOVA Multiple Comparison Tests (Post hoc)One-way ANOVA on the data, interpretation, writing APA result sectionOne-way ANOVA on the data, interpretation, writing APA result section
10correlation correlation Scatter Diagrams Correlation Value Co-Exchange Correlation Coefficients Explanatory Coefficient Ranking Data Factors Affecting Correlation Extreme Situations Correlation and Reasoning Correlation Analysis Pearson Correlation Spearman Correlation Partial Correlation Effect Size Reporting What is Regression?Correlation on data, interpretation, writing APA results sectionCorrelation on data, interpretation, writing APA results section
11Non-Parametric Tests Chi-square (Ki Kare) Mann-Whitney U Test Wilcoxon’s Matched-Pairs Tests Signed-Ranks Tests Kruskal-Wallis Tests Friedman’s Rank TestsPerforming and interpreting non-parametric tests on dataPerforming and interpreting non-parametric tests on data
12Practice SessionPerforming parametric and non-parametric tests on the given data
Recommended or Required Reading
Lecture notes shared on the Course Web page IBM SPSS Statistics 20 Brief Guide ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/Manuals/IBM_SPSS_Statistics_Brief_Guide.pdf Field, A. (2009). Discovering statistics using SPSS (3rd edition). London: Sage Pallant, J. (2016). SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi (Balcı, S. ve Ahi, B. Çev.) Ankara:ANI Yayıncılık
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination140
Attending Lectures110
Laboratory150
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination150
Report Preparation150
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
-
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination11212
Final Examination11212
Attending Lectures14228
Laboratory10880
Report Preparation10330
Individual Study for Mid term Examination11010
Individual Study for Final Examination11010
TOTAL WORKLOAD (hours)182
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476 226 13 14 • e-mail: info@igdir.edu.tr