Elementary Statistics Reviewer: Fdt Table
Constructing a Qualitative FDT
Ie.
Table 1: Attributes most of the respondents consider in choosing an entertainment hub. Attributes | Frequency | RF | Accessibility | 6 | 27.3 | Affordability | 6 | 27.3 | Parking Space | 5 | 22.7 | Crowd | 5 | 22.7 | Total | 22 | |
Note: The first two tables are always given. Frequency (second table) will be the number of times the stubs/classes (from the example, attributes) appeared in the given information. RF is computed by dividing the frequency by the total, then multiply it by 100. Ie. (6/22)*100=27.3
Interpretation (Use the highest frequencies)
The attributes most of the respondents consider in choosing an entertainment hub are accessibility and affordability.
Quantitative FDT 1. Determine the range. (highest value-lowest value)
Ie. 20-40=16 see the table below. 2. Determine the number of classes. a. K=N in which N is the number of observation. i. Example: k=22 k=4.7; round up; k=5 3. Determine the class size. b. Range/number of classes.
Example: 16/5=3.2; since the data don’t possess any decimals, the answer should be 3 to make it an odd number as well.
Note: if the given data don’t possess decimals, the class size doesn’t have decimals as well. The class size is always an odd number. The number of decimal places depend on the number of decimal places of the given data.
Table 2: Number of times in a month a respondent has entertainment activity.
(MS Excel)
RF= (Frequency/Number of observation)*100
TCB: LTCB=Lower limit - 0.5 UTCB=Upper limit + 0.5
Note: 0.5 is only used if the upper and lower limit are whole numbers. But if, for example, it is 4.5 – 6.5, the lower limit will be subtracted by 0.05 while the upper limit will be added with 0.05 and so on and so forth.
CM= (UL+LL)/2
For CF and RCF, click the table for clarification of the equations given.
Interpretation: 4-6 times in a month, the respondents have entertainment
Ie.
Table 1: Attributes most of the respondents consider in choosing an entertainment hub. Attributes | Frequency | RF | Accessibility | 6 | 27.3 | Affordability | 6 | 27.3 | Parking Space | 5 | 22.7 | Crowd | 5 | 22.7 | Total | 22 | |
Note: The first two tables are always given. Frequency (second table) will be the number of times the stubs/classes (from the example, attributes) appeared in the given information. RF is computed by dividing the frequency by the total, then multiply it by 100. Ie. (6/22)*100=27.3
Interpretation (Use the highest frequencies)
The attributes most of the respondents consider in choosing an entertainment hub are accessibility and affordability.
Quantitative FDT 1. Determine the range. (highest value-lowest value)
Ie. 20-40=16 see the table below. 2. Determine the number of classes. a. K=N in which N is the number of observation. i. Example: k=22 k=4.7; round up; k=5 3. Determine the class size. b. Range/number of classes.
Example: 16/5=3.2; since the data don’t possess any decimals, the answer should be 3 to make it an odd number as well.
Note: if the given data don’t possess decimals, the class size doesn’t have decimals as well. The class size is always an odd number. The number of decimal places depend on the number of decimal places of the given data.
Table 2: Number of times in a month a respondent has entertainment activity.
(MS Excel)
RF= (Frequency/Number of observation)*100
TCB: LTCB=Lower limit - 0.5 UTCB=Upper limit + 0.5
Note: 0.5 is only used if the upper and lower limit are whole numbers. But if, for example, it is 4.5 – 6.5, the lower limit will be subtracted by 0.05 while the upper limit will be added with 0.05 and so on and so forth.
CM= (UL+LL)/2
For CF and RCF, click the table for clarification of the equations given.
Interpretation: 4-6 times in a month, the respondents have entertainment