Statistics play an essential role in all stages of a research project, from design up to analysis and interpretation. Researchers must be aware of the various types of research work, elements of a research report and the preliminaries in doing a research study. One must be equipped with the essential principles and methods of research and the various statistical tools and analysis appropriate for a given research problem.
The course will provide basic understanding on the quantitative methods of research. The course covers both research methodology and statistical procedures. Topics include overview of the research process, sampling methods, exploratory data analysis and introduction to descriptive and inferential statistics. Research methodology and statistical procedures will be taught through the use of lecture and power point presentations. Individual and group workshops are part of the training curriculum to reinforce the learnings gained from the lectures. The use of a statistical software will be introduced for better and faster calculation and delivery of outputs. There shall also be output presentations to ensure that the concepts and the techniques are correctly understood by the training participants. One computer per participant shall be observed to maximize experiential learning of each participant.
What will participants gain?
Participants will gain familiarity and some level of confidence in identifying the appropriate basic statistical analysis for various data types resulting from a research undertaking. Participants will learn to perform the statistical analysis with the aid of a micro computer software and the corresponding interpretations of the results.
Who can participate?
Recommended for first-level statistical personnel in government offices who are non statisticians but involved in research, data analysis and report preparation. Participants must have adequate background in mathematics, descriptive statistics, and has basic exposure on the use of MS Excel program.
Course Coverage
The Research Process
Sampling and Measurement
Exploratory Data Analysis (EDA)
Review of Descriptive Statistics
Introduction to Probability
Normal Distribution
Point and Interval Estimations
Hypothesis Testing
Chi square Distribution and its Applications
Analysis of Variance
Course Duration: 5 days
Registration:
To register and further inquiry, please contact the Training Division at Telefax Nos. (632) 436-1426/929-7543 or email it to japebenito@srtc.gov.ph or cemojica@srtc.gov.ph.
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