Quantitative Techniques in Business solved question
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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.
Qualitative refers to what a sample is, while quantitative refers to how much of that materal is present.
Qualitative analysis means just to detect the presence of a substance in the sample while quantitative analysis is the determination of that substance i.e., in which amount it is present in the sample.
they are both incredibly boring so no there is no difference ;)
Density is a quantitative property of minerals that can be measured by determining the mass of a mineral sample and dividing it by its volume.
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.
Quantitative techniques can be classified into two main categories: descriptive and inferential statistics. Descriptive statistics summarize and describe the features of a dataset, using measures such as mean, median, mode, and standard deviation. Inferential statistics, on the other hand, involve making predictions or inferences about a population based on a sample, utilizing methods like hypothesis testing, regression analysis, and confidence intervals. Additionally, quantitative techniques can be further divided into experimental and observational methods, depending on whether the researcher manipulates variables or observes them in their natural context.
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Quantilative is where quantitative and qualitative data start to blur. You can ask a question in a quantitative fashion (survey question) but if you have a small sample size, then you need to interpret the data qualitatively (e.g., few, some, most) as opposed to quantitatively (e.g., 10%). it can go the other way as well. If you have a qualitative exercise (e.g., highlighter exercise) that you deploy to a large sample size, you can interpret that data quantitatively (e.g., % who selected a certain area of the image).
Random sampling techniques.
To quantify a virus in a sample, techniques such as quantitative PCR (qPCR) can be employed, which measures the amount of viral genetic material present. Another common method is plaque assay, where viral particles are diluted and added to a cell culture, and the number of plaques formed indicates viral concentration. Additionally, techniques like ELISA can measure viral proteins, providing another means of quantification. Each method has its own sensitivity and specificity, depending on the virus and sample type.