Statistical Treatment
“Statistical Treatment”
Communication Reasearch 1
S.Y. 2013- 2014
T.F 7:00am – 8:30am MCS
June 21, 2013
ILARIA L. PANDOLFI
PROFESSOR ROSALIE CERVANTES
I. Objectives:
The learners are expected to: a. Determine what statistical treatment is all about. b. Choose their own right statistics in analysing their data. c. Follow the steps involving statistical treatment. d. Interpret the data involving tabulation. e. Provide answers to the drills.
II. Outline of Content: A. Statistical treatment of data. B. Treatment of Data and Distribution C. Measures of Central Tendencies a. Mean, b. Median, c. Mode. D. Frequency and percentage. E. Ranking Method. F. Chi-Square Techniques. G. T-Z Test H. Drills.
III. References: A. Research (Simplified Guide to Thesis Writing) * “Developing the Research Design” pgs. 168- 178 B. Website: http://explorable.com/statistical-treatment-of-data C. Website: http://explorable.com/measures-of-central-tendency D. Website: https://en.wikipedia.org/wiki/Student's_t-test E. Website: https://en.wikipedia.org/wiki/Analysis_of_variance
A. STATISTICAL TREATMENT OF DATA:
Is essential in order to make use of the data in the right form. Raw data collection is only one aspect of any experiment; the organization of data is equally important so that appropriate conclusions can be drawn. This is what statistical treatment of data is all about.
There are many techniques involved in statistics that treat data in the required manner. Statistical treatment of data is essential in all experiments, whether social, scientific or any other form. Statistical treatment of data greatly depends on the kind of experiment and the desired result from the experiment.
“For example, in a survey regarding the election of a Mayor, parameters like age, gender, occupation, etc. would be important in influencing the person's decision to vote for a
Communication Reasearch 1
S.Y. 2013- 2014
T.F 7:00am – 8:30am MCS
June 21, 2013
ILARIA L. PANDOLFI
PROFESSOR ROSALIE CERVANTES
I. Objectives:
The learners are expected to: a. Determine what statistical treatment is all about. b. Choose their own right statistics in analysing their data. c. Follow the steps involving statistical treatment. d. Interpret the data involving tabulation. e. Provide answers to the drills.
II. Outline of Content: A. Statistical treatment of data. B. Treatment of Data and Distribution C. Measures of Central Tendencies a. Mean, b. Median, c. Mode. D. Frequency and percentage. E. Ranking Method. F. Chi-Square Techniques. G. T-Z Test H. Drills.
III. References: A. Research (Simplified Guide to Thesis Writing) * “Developing the Research Design” pgs. 168- 178 B. Website: http://explorable.com/statistical-treatment-of-data C. Website: http://explorable.com/measures-of-central-tendency D. Website: https://en.wikipedia.org/wiki/Student's_t-test E. Website: https://en.wikipedia.org/wiki/Analysis_of_variance
A. STATISTICAL TREATMENT OF DATA:
Is essential in order to make use of the data in the right form. Raw data collection is only one aspect of any experiment; the organization of data is equally important so that appropriate conclusions can be drawn. This is what statistical treatment of data is all about.
There are many techniques involved in statistics that treat data in the required manner. Statistical treatment of data is essential in all experiments, whether social, scientific or any other form. Statistical treatment of data greatly depends on the kind of experiment and the desired result from the experiment.
“For example, in a survey regarding the election of a Mayor, parameters like age, gender, occupation, etc. would be important in influencing the person's decision to vote for a