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The Benedict's qualitative test is called semi-qualitative since it is not totally conclusive.

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Why is Benedicts test considered to be a semi-quantitative test rather than quantitative test?

Benedict's test is considered semi-quantitative because it gives a general idea of the amount of reducing sugar present based on color changes, but it is not precise enough to give an exact concentration of sugar present. The test relies on color changes to estimate the relative amount of reducing sugar, making it qualitative and semi-quantitative rather than fully quantitative.


Why Benedict test is semi quantitative?

Benedicts solution changes through a range of colours (blue, green, orange, red) according to how much reducing sugar is present in the sample. This can be used to give a rough answer to the question "How much sugar is in the sample?", but is not accurate enough (because of the blending between one colour and the next), to be called a quantitative test.


What makes the quantitative analysis of reducing sugar test semi quantitative and not quantitative?

The qualitative reducing sugar test gives a positive or negative result, indicating the presence or absence of reducing sugars without precise measurement of quantity. However, by observing the color change and comparing it to a color chart, one can roughly estimate the amount of reducing sugar present, making it semi-quantitative. True quantitative analysis would involve measuring the exact concentration of reducing sugars present using specific equipment like spectrophotometers.


What are the differences between semi-quantitative and quantitative methods of data analysis?

Semi-quantitative methods involve assigning categories or rankings to data, while quantitative methods involve measuring and analyzing numerical data. Semi-quantitative methods provide a general sense of trends, while quantitative methods offer precise numerical values for analysis.


What is the significance of semi-quantitative analysis in determining the concentration of a substance in a sample?

Semi-quantitative analysis is important in estimating the concentration of a substance in a sample because it provides a rough idea of the amount present, which can be useful for quick assessments or comparisons. While not as precise as quantitative analysis, it can still give valuable insights into the sample's composition.


What are the key steps involved in conducting a semi-quantitative analysis?

The key steps in conducting a semi-quantitative analysis involve defining the criteria for evaluation, assigning numerical values to these criteria, scoring the criteria based on their importance, and calculating an overall score by combining the individual scores.


What are the Instruments of a qualitative research?

The instruments of Qualitative research data collections are the following.: unstructured or semi structured observation form unstructured or semi structured questionnaire unstructured or semi structured interview


What is the advantage of direct microscopic count?

You get an accurate answer with it rather than using semi quantitative methods to get estimated results.


What are the different forms of data?

Data can be classified into various forms such as structured data (organized into rows and columns), unstructured data (text, images, videos), semi-structured data (mix of structured and unstructured data), quantitative data (numerical), qualitative data (descriptive), primary data (first-hand) and secondary data (collected by others).


Why is half a circle called semi-circle?

Semi = half


A tessellation that uses more than one kind of regular polygon is called an?

A tessellation that uses more than one kind of regular polygon is called a semi-regular tessellation.


What is the name for a figure with a curved and flat side?

If its 2d its called a semi-circle, if its 3d its called a semi-sphere.