it has no effect. density of a substance is the same no matter the size or shape of the sample.
No. Density is an INTRINSIC property, and as such it does NOT depend on the size of the sample.
Density is an intensive quantity which means it is independent of size. This can be seen from the definition of density. Density = mass/volume So if the sample size increases than so does the mass, but the density remains unchanged.
Density is dependent on two things - the volume of the object under consideration, and it's mass. For a given material, in order for the volume (the size) to change, so must the mass by a proportional amount. Therefore, for a specific material, changing the size of the sample does not affect the density in any way.
Mass and volume are extensive properties, which are dependent upon the size of the sample. A larger sample will have a greater mass and volume than a smaller sample. Density is an intensive property, which does not depend on the size of the sample. Density is a ratio of mass to volume, which does not vary with the size of the sample. The density of a larger sample will be the same as the density of a smaller sample.
no
it has no effect. density of a substance is the same no matter the size or shape of the sample.
Density = mass / volume As sample size increases, both mass and volume increase in the same ratio.
No. Density is an INTRINSIC property, and as such it does NOT depend on the size of the sample.
Density is an intensive quantity which means it is independent of size. This can be seen from the definition of density. Density = mass/volume So if the sample size increases than so does the mass, but the density remains unchanged.
The shape or size of a mineral sample does not affect its density. Since mass is proportional to volume, an increase in mass also increases the volume. The ratio between the two remains constant, hence the density is not affected.
Well it's kind of hard since Density is a MATHEMATICAL concept, not an ENGLISH concept. Oversimplifcation: Density is a comparison between how much a sample of something weighs compared to its size. If a small size sample is heavy, then it has high Density. If a large size sample is light, then it has low Density.
You can estimate a population's size when counting individuals if the density in a sample is greater than the population density.
I measured a density of 1.0663 g with a sample size of 50.
The sample size determines the accuracy of results in an experiment
a larger the sample size will reduce the size of the confidence interval
Density is dependent on two things - the volume of the object under consideration, and it's mass. For a given material, in order for the volume (the size) to change, so must the mass by a proportional amount. Therefore, for a specific material, changing the size of the sample does not affect the density in any way.