The site aims to help students cope with their subject in Research I:English for Science and Technology (EST). Contains collective information from the internet, journals, magazines and books to guide and spend less time for students in achieving the following learning competencies:

In First Grading

1. Demonstrate the ability to differentiate among various forms of EST discourse (scientific and technical writing)

1.1 Identify EST texts, i.e. English texts that present facts, hypotheses, and other instances of scientific and technical information.

1.2 Contrast the text structure of different scientific texts e.g. research proposals, scientific articles, reports, abstracts, etc.

2. Show the ability to determine the objectives of scientific texts.

2.1 Determine the overall objective of a scientific text: detailing an experiment, making a recommendation, presenting new hypothesis or theory, and presenting other types of EST information.

3. Exhibit the ability to identify EST rhetorical functions of discourse

3.1 Identity and explain EST, rhetorical modes of functions of discourse, description, definition, classification, instructions, and visual-verbal relationships.

4. Show awareness of the different rhetorical modes and micro-discouse signals to establish logical sequences and clause relations.

In Second Grading

5. Demonstrate skills in computation involving summation notation.

5.1 Interpret the meaning of common statistical summations

5.2 Compute the summation of given variable

5.3Apply the properties of summation

6. Demonstrate understanding os sampling procedures and techniques.

6.1 Explain the idea of a sample being a representative of the population

6.2 Define, describe and give the importance of sampling technique

6.3 Enumerate kinds of sampling techniques

6.4 Differentiate random sampling from systematic sampling

6.5 Discuss the different kinds of random sampling

6.6 Analyze the situation where random sampling and other sampling technique is applicable

6.7 Perform exercises involving sampling techniques

6.8 Apply the sampling techniques learned in the identified study

7. Manifest ability to apply the different methods of collecting data and its necessary instruments.

7.1 Discuss the importance of collecting data

7.2 Describe the different kind of data

7.3 Discuss the different methods of collecting data

     7.3.1 Interview

     7.3.2 Questionnnaire

     7.3.3 Observation

     7.3.4 Experiments

7.4 Describe the differentiate types of questions

7.5 Develop a simple research instrument for the study

8. Demonstrate skills in organizing and presenting collected data in table and graphical form.

8.1 Recognize the importance of organizing data

8.2 Organize data in a frequency distribution table

8.3 Construct a frequency distribution table applying appropriate steps

8.4Transform frequency distribution table into graph

     8.4.1 Histogram

     8.4.2 Ogive

     8.4.3 Frequency Polygon

8.5 Identify which graph is best to use for a given set of data

8.6 Analyze the frequency distribution table and of the graph

8.7 Make conclusion on the basis of the anlysis of frequency distribution or graph

8.8Constuct a crossbreak table of the data in the study

In Third Grading

9. Manifest ablity to compute and interpret the three measures of cental tendency in both grouped and ungrouped data.

9.1 Differentiate the three measure of central tendency: mean median, mode

9.2 Compute the mean, median and mode of ungrouped and grouped data

9.3 Compare the mean, median and mode of ungrouped and grouped data

9.4 Determine which measure is most appropriate to use for the study

9.5 Interpret the mean, median and mode of grouped and ungrouped data

10. Demontrate skill in computer knowledge as a tool for previously knowledge as a tool for previously learned data organization and computing techniques.

10.1 Use MS EXCEL in arranging/ organizing data

 10.2 Use MS EXCEL in computation of centralities

10.3 Graph the data using MS EXCEL

11. Manifest ability to compute and interpret the three measures of variability.

11.1 Differentiate the three measures of variablity, rage, mean deviation and standard diviation

11.2 Calculate the range, mean deviation and standard deviation of a frequency distribution of data

11.3 Show examples where different measures of variablity is observe

11.4 Recognize the significance of range, mean deviation of ungrouped data interpreted in standard deviation units

11.5 Interpret the range, mean deviation and standard deviation of ungrouped data interpreted in standard deviation units

11.6 Explain how any particular score in a normal distribution can be interpreted in standard deviation units

11.7 Explain how to interpret a normal distribution

11.8 Construct and interpret a scatterplot

12. Manifest ablility to use quartiles and percentiles in interpreting data

12.1 Illustrate quartiles and percentiles

12.2 Compute for  quartiles and ungrouped and grouped data

12.3 Interpret the computed values of quartiles

12.4 Locate the percentile points

12.5 Compute the percentile rank of a score in a distribution

12.6 Apply knowledge of quartiles and percentiles to problem situation

12.7 Explain a five-number summary

In Fourth Grading

13. Demonstarate skill in using the computer as a tool for computing Measures of variability and Relative Position of data

13.1 Use MS EXCEL proficiently in working with problems involving measures of relative position and measures of vaiabiity

13.2 Use statistical package software in anlyzing and interpreting data

14. Manifest ability to apply all the previosly learned concepts in producing a miniresearch project

14.1 State the problem of the study

14.2 Select varibles and connect data

14.3 Summarize the results for each varible

14.4 Construct a table

14.5 Interpret a given table interpret

14.6 Describe the relationship between variables

14.7 Write a report

     14.7.1 State the purpose of the project

     14.7.2 Define the population

     14.7.3 State how sample was selected

     14.7.4 Show the raw data

     14.7.5 Construct the frequency distribution of the data

     14.7.6  Draw or construct the graph

     14.7.7 Analyze the results

     14.7.8 Make conclusion and recommendation

15. Demostrate ability to compute the probability of an event  using the properties of probability and operations of events.

15.1 Explain the concepts related to probability

     15.1.1 Random Experiment

     15.1.2 Sample space and sample outcomes

     15.1.3 Events

15.2 Perform operations on events, union, intersection, and complementation

15.3 Define mutually exclusive events

15.4 Compute the probability of an event for finite sample spaces

15.5 Apply the properties of probability

Prepared by:                      

(Sgd.) Ramil T. Batalle            

           writer       

Signed by:

(Sgd.) Dr. Evangeline P. Bautista

                  Consultant