MSE309 STATISTICAL APPLICATIONS IN EDUCATION
| Course Code: | 4600309 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (2.00 - 2.00) |
| ECTS Credit: | 4.0 |
| Department: | Mathematics and Science Education |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
Describe common statistical terms (e.g. statistic, parameter, descriptive statistics, inferential statistics, and sampling error) correctly in a statistical context.
Identify the scale of a measurement of a variable.
Identify whether a given variable is continuous or discrete.
Create frequency distribution tables and appropriate graphs for given data.
Compute the mean, median and mode as measures of central tendency.
Compute measures of variability.
Describe a data set (a set of scores) using appropriate descriptive statistics.
Apply the appropriate inferential statistical technique to situations covered in class.
Interpret the results of an inferential test.
Summarize the results of inferential statistical techniques using APA style.
Interpret the statistical results of an article/study
Compute a z score for a given raw score.
Interpret a z score for a given raw score.
Use a unit normal table to determine the proportion of scores above or below any given z-scores.
Distinguish between a population and a sample, and between parameters and statistics.
Describe properties of the distribution of sample means in general situations, using the Central Limit Theorem.
Compute a z for a sample mean.
Use the z score for a sample mean and unit normal table to determine how likely a given sample mean is to occur.
Compute descriptive and inferential statistics using a computer program (i.e. SPSS).
Interpret the SPPS output for a given descriptive and/or inferential statistics.
Course Content
Basic statistical concepts, frequency distributions, graphics, central tendency, variability, simple correlation and regression, independent sample t-test, paired sample t-test, analysis of variance.
Course Learning Outcomes
Comprehend basic concepts in statistics
Develop skills in understanding and applying descriptive statistical techniques
Develop skills in understanding and applying inferential statistical techniques
Understand standardized distributions (z-scores).
Understand the concept of the distribution of sample means and z for a sample mean (probability and samples).
Develop an ability to use computers for statistical analysis of data.