PPT-ELAH1 (1)UFSAUUGUGSGEGEGEGEGEGA.pptx

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1. Tabular Method Jesusita Elah Seguis Bagayas BEED- III Student

2. Tabular Method   A systematic arrangement of related idea in which classes of numerical facts or data are given each row and their subclasses are given each a column in order to present the relationships of the sets or numerical facts or data in a definite, compact and understandable form.

3. A table shows complete information regarding the data. So a table have its corresponding parts, the following are: Table number - This is for easy reference to the table. Table Title - It briefly explains the content of the table. Column header - It describes the data in each column Row classifier - It shows the classes or category.

4. e. Body - This is the main part of the table. f. Source note - This is placed below the table when the data written are not original.

5. Table 4 Distribution of Junior High School Students in Makati Science High School According to Grade Level Grade Level Number of Students Grade 7 300 Grade 8 250 Grade 9 285 Grade 10 215 N= 1050 Source: Makati Science High School

6. A frequency distribution table is a table shows the data arranged into different classes and the number of cases which fall into each class. The frequency distribution table for ungrouped data is simply in an arrangement of data from lowest to highest which shows the frequency of occurrence of each value in a set.

7. Table 1 Ungrouped Frequency Distribution for Ages of 50 Students Enrolled in Statistics Age Frequency 14 4 15 13 16 25 17 5 18 2 19 1 N=50

8. The range is acquired by subtracting the highest and lowest age. The frequency distribution for grouped data is arrangement of data into different classes or categories. It involves data which falls into each class.

9. Example 1: Below are the scores of 50 students in Mathematics test 38 32 28 20 50 17 21 13 39 10 18 41 18 40 14 15 13 19 37 30 26 40 28 33 25 20 50 31 36 9 40 10 28 3 30 35 46 27 13 29 43 35 42 26 34 35 32 28 20 50

10. Notes to consider regarding the number of class intervals . Avoid using fewer than 6 or more than 15 classes . The number of classes in a given situation depends on the nature, magnitude and range of data. Make sure that each item into one and only one class.

11. Steps in Constructing Frequency Distribution Table Decide on the number of classes. Determine the class width. i =  

12. When the data are whole numbers , i should be a whole number. b. When the data are decimal number , i should be a whole number . 3. Always start with the lowest class with the lowest value of the raw data , in order to avoid errors. 4. Tally the frequencies in each class , until the highest value is reach.

13. Table 2 The Grouped Frequency Distribution for the Test Scores of 50 Students in Statistics Class Interval Tally Frequency Midpoint (x) 3 – 8 9 – 14 15 – 20 21 – 26 27 – 32 33 – 38 39 – 44 45 – 50

14. 38 32 28 20 50 17 21 13 39 10 18 41 18 40 14 15 13 19 37 30 26 40 28 33 25 20 50 31 36 9 40 10 28 3 30 35 46 27 13 29 43 35 42 26 34 35 32 28 20 50

15. Table 2 The Grouped Frequency Distribution for the Test Scores of 50 Students in Statistics Class Interval Tally Frequency Midpoint (x) 3 – 8 1 (3+8) 2=5.5 9 – 14 7 (9+14) 2=11.5 15 – 20 8 17.5 21 – 26 4 23.5 27 – 32 11 29.5 33 – 38 8 35.5 39 – 44 - 7 41.5 45 – 50 4 47.5 N=50 Class Interval Tally Frequency Midpoint (x) 3 – 8 1 9 – 14 7 15 – 20 8 17.5 21 – 26 4 23.5 27 – 32 11 29.5 33 – 38 8 35.5 39 – 44 - 7 41.5 45 – 50 4 47.5 N=50

16. Table 3 Relative Frequency Distribution for the Test Scores of 50 Students in Statistics Class Interval Frequency Midpoint Relative Frequency 3 – 8 1 5.5 0.02 9 – 14 7 11.5 0.14 15 – 20 8 17.5 0.16 21 – 26 4 23.5 0.08 27 – 32 11 29.5 0.22 33 – 38 8 35.5 0.16 39 – 44 7 41.5 0.14 45 – 50 4 47.5 0.08 N=50 1