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The values of many curves cannot be calculated analytically: the process requires painstaking numerical estimation. The values of a standard curve can be calculated once and published for ready reference. This means that, given any other curve in the same family, it is possible to transform it to the standard curve and the reference values can be used.

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Q: What is the purpose of making a standard curve?
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Related questions

Is the standard normal curve non symmetrical?

The standard normal curve is symmetrical.


What is the area under the standard normal curve?

the standard normal curve 2


He area under the standard normal curve is?

The area under the standard normal curve is 1.


What best explains the purpose of a supply curve?

The purpose of a supply curve is to graph the relationship between quantity supplied and price charged.


What best explains the purpose of supply curve?

The purpose of a supply curve is to graph the relationship between quantity supplied and price charged.


What are the properties of a standard normal curve?

It is a normal curve with mean = 0 and variance = 1.


How do you prepare the standard curve?

To prepare a standard curve, you first need to create a series of known concentrations of your analyte. Then, measure the signal (e.g., absorbance, fluorescence) produced by each standard. Plot the measured signal against the concentration to generate a linear standard curve, which can be used to quantify unknown samples based on their signal. Make sure to run the standards in duplicate or triplicate to ensure accuracy and reliability of the curve.


What is the mean and standard deviation for the standard normal curve?

Mean = 0 Standard Deviation = 1


What is the value of standard curve?

0.1% ascorbic acid


What is the standard deviation of the stardard normal curve?

1


Is normal curve symmetrical about its standard deviation?

nop its not


What is the difference between a general normal curve and a standard normal curve?

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.