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Year/Semester of Study | 3 / Spring Semester | ||||
Level of Course | 1st Cycle Degree Programme | ||||
Type of Course | Compulsory | ||||
Department | NURSING | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | MÜJDET GÜNGÖR (mujdetgungor@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | |||||
Language of Instruction | Turkish | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
The purpose is to represent statistics and teach the basic concepts and techniques of statistics. Introducing the necessary tools to implement statistical methods and develop further the understanding of assumptions and limitations. In this course, it is aimed to give the necessary methods for statistical analysis in the field of health. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | Can know statistics and the place and importance of statistics in the field of health. |
PO- |
Examination Performance Project |
LO-2 | Can explain the basic issues of statistics. |
PO- |
Examination Presentation Performance Project |
LO-3 | Can identify and analyze hypotheses. |
PO- |
Examination Performance Project |
LO-4 | Can identify events and components in social life, analyze problems with numbers, and access meaningful and useful information. |
PO- |
Examination Performance Project |
LO-5 | Can make decisions based on data. |
PO- |
Examination Laboratory Exam Performance Project |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Introduction to Statistics: Description, brief historical account and importance of statistics. Fundamental Content of Statistics. Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales. Collecting the data and illustrating by tables and graphs. Measures of central tendency and measures of dispersion. The frequency distributions of mean, median, mode and variance. Questionnaire survey. Probability. Distributions. Sampling. Z and t statistics. Confidence intervals. Hypothesis tests. Correlation coefficient. Chi-square analysis. ANOVA. Regression Analysis. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Introduction to statistics. Description and importance of statistics. Statistics in health sciences. | Representing subjects. Question and answer. Solving problems technique. |
2 | Presentation of statistical data with graphics and tables. Measures of central tendency: arithmetic mean, median, mode | Forming table and graph. Question and answer. Solving problems technique. |
3 | Presentation of statistical data with graphics and tables. Measures of central tendency: arithmetic mean, median, mode | Representing subjects. Question and answer. Solving problems technique. |
4 | Measures of dispersion: Variation range, standard deviation, variance, standard error The frequency distributions of mean, median, mode and variance | Representing subjects. Question and answer. Solving problems technique. |
5 | Measures of dispersion: Variation range, standard deviation, variance, standard error The frequency distributions of mean, median, mode and variance | Representing subjects. Question and answer. Solving problems technique. |
6 | Normal distribution | Representing subjects. Question and answer. Solving problems technique. |
7 | Hypothesis tests | Representing subjects. Question and answer. Solving problems technique. |
8 | mid-term exam | |
9 | Chi-square analysis | Representing subjects. Question and answer. Solving problems technique. |
10 | Sampling: Population, sample and sampling techniques | Representing subjects. Question and answer. Solving problems technique. |
11 | Health statistics | Representing subjects. Question and answer. Solving problems technique. |
12 | Analysis of variance | Representing subjects. Question and answer. Solving problems technique. |
13 | Correlation coefficient. Regression analysis | Representing subjects. Question and answer. Solving problems technique. |
14 | Correlation analysis | Representing subjects. Question and answer. Solving problems technique. |
15 | Correlation analysis and analysis | Representing subjects. Question and answer. Application on computer. |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Sümbüloğlu K., Sümbüloğlu V (2016). Biyoistatistik, Hatiboğlu Yayınevi | |
2 | Özdemir, O (2006). Medikal İstatistik I | |
3 | Esin A., Ekni M., Gamgam H (1997).Sağlık Bilimlerinde İstatistik, Ankara: Gazi Üniversitesi Yayınevi. | |
Required Course instruments and materials | ||
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 1 | 2 | 40 |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | |||
9.Project | |||
final exam | 1 | 2 | 60 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 3 | 16 | 48 |
Outside Class | |||
a) Reading | 2 | 4 | 8 |
b) Search in internet/Library | 2 | 2 | 4 |
c) Performance Project | 1 | 7 | 7 |
d) Prepare a workshop/Presentation/Report | 0 | ||
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 0 | ||
Own study for mid-term exam | 3 | 4 | 12 |
mid-term exam | 2 | 1 | 2 |
Own study for final exam | 1 | 7 | 7 |
final exam | 2 | 1 | 2 |
0 | |||
0 | |||
Total work load; | 90 |