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How to measure tensile strength accurately and effectively?

To measure tensile strength accurately and effectively, use a tensile testing machine to apply a controlled force to a sample until it breaks. Record the maximum force applied and the original cross-sectional area of the sample. Calculate tensile strength by dividing the maximum force by the cross-sectional area. Repeat the test multiple times for accuracy.


What is the maximum amount of plagioclase feldspar possible in a sample of granite?

65%. Any more, and it is not considered granite.


What is burst strength?

Bursting strength tells how much pressure paper can tolerate before rupture. It is important for bag paper.Bursting strength is measured as the maximum hydrostatic pressure required to rupture the sample by constantly increasing the pressure applied through a rubber diaphragm on 1.20 - inch diameter (30.5 mm) sample.


What is the the relationship between population and sample parameter and statistic?

The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.


What is the percent composition of NaHCO3 in a given sample?

To find the percent composition of NaHCO3 in a sample, you would calculate the mass of NaHCO3 in the sample divided by the total mass of the sample, then multiply by 100 to get the percentage.


What is the bursting strength?

Bursting strength tells how much pressure paper can tolerate before rupture. It is important for bag paper.Bursting strength is measured as the maximum hydrostatic pressure required to rupture the sample by constantly increasing the pressure applied through a rubber diaphragm on 1.20 - inch diameter (30.5 mm) sample.


How to find the percent by mass of a compound in a given sample?

To find the percent by mass of a compound in a given sample, you need to divide the mass of the compound by the total mass of the sample and then multiply by 100. This will give you the percentage of the compound in the sample.


The collection of all possible outcomes of an experiment is called?

sample space


What is an inducter?

An inductive generalization takes a sample of a population and makes a conclusion regarding the entirepopulation.Inductive Generalizations take the form..X percent of observed Fs are GsthereforeX percent of all Fs are GsFor example, an experiment may test the effects of a drug on lab mice. They might reason..80% of observed mice die when given the drug.therefore80% of all mice die when given the drug.The argument's strength depends on the sample. A sample that is not representative of the population is called a biased sample.


Why should the maximum percent yield never be above 100?

Because the yield can never exceed the quantity in the original mix. ie if an ore sample contains 3% of a mineral, if that 3% is extracted totally, then the yield is 100% and cannot be more because that's all there is in the sample.


What is an inductive generalization?

An inductive generalization takes a sample of a population and makes a conclusion regarding the entirepopulation.Inductive Generalizations take the form..X percent of observed Fs are GsthereforeX percent of all Fs are GsFor example, an experiment may test the effects of a drug on lab mice. They might reason..80% of observed mice die when given the drug.therefore80% of all mice die when given the drug.The argument's strength depends on the sample. A sample that is not representative of the population is called a biased sample.


What is induction generator?

An inductive generalization takes a sample of a population and makes a conclusion regarding the entirepopulation.Inductive Generalizations take the form..X percent of observed Fs are GsthereforeX percent of all Fs are GsFor example, an experiment may test the effects of a drug on lab mice. They might reason..80% of observed mice die when given the drug.therefore80% of all mice die when given the drug.The argument's strength depends on the sample. A sample that is not representative of the population is called a biased sample.