RESULT1)Sample codeestimate

3875 x 10

36510/3

58910/4

87310/2

95910/6

7497 x 10

2)Sample codeestimate

74110 x 2

42010

81010/2

68010/8

50910/6

87810/4

3)Sample codeestimate

3875 x10

3656 x10

58910/4

87310/2

9594 x 10

74910 /8

4)Sample codeestimate

85020

27830

6732

9583.33

2062.5

7305

5)Sample codeestimate

DISCUSSION

The scaling test magnitude estimation, that to identify the concentration of the green colour in the laboratory sensory. From the theory, magnitude estimation is a psychophysical scaling technique where assessors assign numerical values to the estimated magnitude of an attribute. The only constraint placed upon the assessor is that the values assigned should conform to a ratio principle. if the attribute appears to be twice as strong in sample in comparison with sample A, the value assigned to sample has to be twice that assigned to sample A. Attributes such as intensity, pleasantness or acceptability may be assessed using magnitude estimation.

Magnitude estimation can offer advantages over other scaling methods, in particular when the number of assessors and the time available for training are limited. Magnitude estimation offers a high degree of flexibility for both the panel leader and the assessor. Once trained in magnitude estimation, assessors are generally able to apply skills to a wide range of samples and attributes, with minimal additional training.

Magnitude estimation method is also less susceptible to "end-effects" than those methods which employ continuous or discontinuous response scales. These "end-effects" occur when the assessors are unfamiliar with the extent of the sensations being presented. Then assessors might assign one of the initial samples to a category which is too close to one of the ends of the scale. Consequently, then find short of graduations and are obliged to classify samples perceived as being different into the same category. This should not occur with magnitude estimation since, in theory, there are an infinite number of categories.

From the result of this experiment, first,, assessors can estimate the middle concentration of Sample code 873, the high concentration is Sample code 749 and the slowest concentration is 959. Second, Assessors can estimate the middle concentration of Sample code 420, the high concentration is Sample code 741 and the slowest concentration is 680. Third, Assessors can estimate the middle concentration of Sample code 873, the high concentration is Sample code 365 and the slowest concentration is 749. Fourth, Assessors can estimate the middle concentration of Sample code 673, the high concentration is Sample code 278 and the slowest concentration is 958. The last one is. , Assessors can estimate the middle concentration of Sample code 873, the high concentration is Sample code 365 and the slowest concentration is 749.

From the experiment, the each of the assessors can identify the different concentration of this experiment. The intensity of the attribute of the green colour can be magnitude estimation with the different of the colour. Each intensity of the green colour are different colour even, there are very little different of colour. The magnitude estimate procedure require subject to estimate the magnitude, of physical stimuli by assigning numerical value proportional to the stimulus magnitude perceive.

The highly reliable judgment can be estimate for range of the sensory modalities which is the brightness. The Assessors can identify with the different of the brightness. The high brightness have the low the concentration of the green colour but if the less brightness have high the concentration green colour.