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After a detailed chemical analysis the purity is correctly evaluated.

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Q: What indication do the experimental results give regarding the purity of the samples used?
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What indication do the experimental result give regarding the purity of the samples used?

After a detailed chemical analysis the purity is correctly evaluated.


What is the difference between experimental replicates and experimental controls?

Replicates are "repeat" samples under a given condition.


What is the difference between control samples and test experimental samples?

It calculates the difference between each set of pairs, and analyzes that list of differences. The P value answersthis question: If the median difference in the ... If your samples are small and there are no tied ranks, Prism calculates an ... The whole point of using a paired test is to control for experimental.


Why do you need a molecular weight ruler alongside your samples during electrophoresis?

A molecular weight ruler uses a sample of fragments of a known size (known as a molecular weight marker) to be placed alongside the experimental and control samples. It helps compare the migration distance of the experimental fragments to the migrating distance of the fragments of a known size that make up the molecular weight marker. Then the scientist can calculate an approx. size of their experimental samples.


Why is it important to determine the melting ranges of the impure and recrystallized samples of vanillin?

The melting point is an indication of purity.


Why is it important to determine the melting ranges for the impure and recrystallized samples of vanillin?

The melting point is an indication of purity.


What is the use of bioassay test panels?

Bioassay test panels includes a tested series of frequently requested samples or disease state samples with healthy controls to do comparitive experimental research.


Why quasi experimental design are high in external validity?

Quasi-experimental designs involve studying real-world settings and conditions, which increases the generalizability of the findings to other similar contexts. The use of diverse samples and settings in quasi-experimental designs enhances the external validity of the results by allowing researchers to draw conclusions that can be applied to a broader population. Additionally, quasi-experimental designs often involve manipulating independent variables in natural settings, making it easier to extrapolate the findings to real-life situations.


Why do too densely coloured samples fail to give proper results using spectrophotometer?

Because we measure transmittance in spectrophotometer and for densely coloured samples transmittance will be very less. So we will not get proper results for absorbance.


What is the color changed for positive results in every samples in millon test?

4


The procedure designed to ensure that the experimental and control groups do not differ in any way that might affect thee experiment's results is called?

The procedure is called random assignment. It involves randomly assigning participants to either the experimental group or the control group to help ensure that any differences in the groups are due to the treatment being tested and not other factors.


Why are controls necessary when performing biochemical test?

Control samples are samples that someone has specifically created to have know concentrations of the compound(s) of interest. This includes blank samples with zero concentration. The Controls are mixed in with the real samples so the analyst does not know which are which. The analyses are conducted by standard methods and the results reviewed. If the work is done properly the values for the controls will be the same or within an expected range of variance as the known concentrations. The values of the real samples are then likely to be correct. This is a quality control or quality assurance procedure. Alternately the same samples can be sent out to a number of labs (Real and control samples). The results should be consistent. This procedure would identify labs that have consistently higher results for all samples. This process is called Round Robin testing