The importance of numbers and statistics to the modern world cannot be overstated. Some quantitative messages are simple and direct while others involve a relatively complicated process of inference. Knowing how to think statistically makes possible the comprehension of both. Understanding statistics is even more imperative given that numerical results are often used (and misused) to manipulate or distort information. That is why researches should be backed-up with appropriate statistical tools.
Oftentimes, research endeavors deal with constraints in time and resources. However, even with limited information, decisions and actions have to be made. Fortunately, there are statistical methods that allow researchers to reach conclusions that extend beyond the immediate data. While descriptive statistics simply illustrate and summarize data, these statistical methods enable us to draw inferences from our data to more general conditions.
The course will be conducted through lectures and computer exercises that enhance experiential learning that provides the participants with the skills to recognize and use appropriate statistical tools for research using MS Excel 2007 and PHStat.
What will participants gain?
The course will provide the participants with the essential skills and knowledge in making informed decisions and conducting dependable research using a subset of data gathered from a much bigger population. At the end of the course, it is expected that participants demonstrate an understanding of probability and sampling distribution, as well as point and interval estimates; compute and interpret point and interval estimates; perform and interpret tests of hypothesis concerning population parameters; use non-parametric methods for analyzing data; analyze simple relationships among variables; and use microcomputer statistical software for data analysis.
Who can participate?
This course is 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 descriptive statistics and must have basic working knowledge on MS Excel.
Course Coverage
Review of Descriptive Statistics
Introduction to probability
The Normal Distribution
Statistical Sampling and Estimation
Hypothesis Testing
Chi-Square Distribution and Its Applications
Analysis of Variance
Regression and Correlation Analysis
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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