Information Package

Program of Audiology

ODYO413

STATISTICAL APPLICATIONS IN COMPUTER

Course Code
ODYO413
Semester
-
Theory+Practice
1 + 2
ECTS
3
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS3
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Analyzes data in quantitative and qualitative research and interprets the results obtained.
  2. Enters data and edits data in the SPSS package program.
  3. Examines and presents data using appropriate graphical methods in the SPSS package program.
  4. Analyzes and interprets the results using basic statistical methods in the SPSS package program.
  5. Learn different statistical packages and make comparative interpretations of analyses.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsODYO303 Biyoistatistik I ODYO304 Biyoistatistik II
Course DescriptionThis course will focus on defining variables and data sets, loading these data into the program, organizing the data, analyzing it using the necessary statistical techniques, and interpreting the results. Table construction and graphing, topics related to parametric and nonparametric statistical hypothesis testing, and correlation analysis and linear regression analysis will be examined. Results from different software packages will be compared.
Course Contents
WEEK TOPICS
1st Week Description of Data Analysis: Research, Hypothesis, Types of Data (Nominal, Ordinal, Discrete, Continuous)
2nd Week Data Entry (Label, Transform)
3rd Week Descriptive Statistics (Frequency Distribution, Measures of Central Tendency, Measures of Dispersion)
4th Week Graphics and Crosstab
5th Week Hypothesis Tests: Parametric and Nonparametric One Sample Tests (One Sample t Test, Sign Test, One Proportion Test, One Sample Chi-Square Test) Comparing Results with Different Statistical Programs
6th Week Hypothesis Tests: Two-Sample Independent Tests (Independent Sample t Test, Mann Whitney U Test, 2x2 Chi-Square Tests(Parametric Tests / Nonparametric Tests) Comparing Results with Different Statistical Programs
7th Week Practice
8th Week MID-TERM EXAM
9th Week Hypothesis Tests: Paired Tests (Paired Sample t Test, Wilcoxon Test, Mc Nemar Test (Parametric Tests / Nonparametric Tests) Comparing Results with Different Statistical Programs
10th Week Hypothesis Tests: k-Sample Independent Tests (One-Way Analysis of Variance, Kruskal-Wallis Test, Chi-Square Test) (Parametric Tests / Nonparametric Tests) Comparing Results with Different Statistical Programs
11th Week Hypothesis Tests: k-Sample Dependent Tests (One-Way Analysis of Variance with Repeated Measures ANOVA, Friedman Test, Cochran Q Test) (Parametric Tests / Nonparametric Tests) Comparing Results with Different Statistical Programs
12th Week Correlation Analysis (Pearson r, Spearman r, Phi, Eta, Cramer V, Somer d)(Parametric and Nonparametric Test) Comparing Results with Different Statistical Programs
13th Week Linear Regression Analysis: Simple Linear Regression Analysis, Multiple Linear Regression Analysis
14th Week Practice
15th Week Practice
Recommended or Required ReadingKirkwood, B.R. (1998). Essentials of Medical Statistics. Oxford. (Başkent Üniversitesi Kütüphanesinde mevcuttur. WA 950 K57 1998)
Mathews, D.E. ve Farewell, V.T. (1996). Using and Understanding Medical Statistics. 3rd Revised Edition. Basel:Karger. (Başkent Üniversitesi Kütüphanesinde mevcuttur. (WA 950 M38 1996)
Daniel, W.W. ve Cross, C.L. (2013). Biostatistics A Foundation for Analysis in the Health Sciences. New York: John Wiley&Sons, Inc.
Alpar, R. (2016). Uygulamalı İstatistik ve Geçerlik-Güvenirlik. Ankara: Detay Yayıncılık.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Case Study
  • Problem Solving
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 10 1 10
Preparation for Final exam 1 18 18
Course hours 15 3 45
Preparation for Midterm exam 1 13 13
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load90
Total Work Load / 30 (h)3
ECTS Credit of the Course3
Language of InstructionTurkish
Work Placement(s)No
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