list the points of difference between homogeneous and heterogeneous mixture..
don't use net..
Answers
Answer:
A homogeneous mixture has the same proportions of its components throughout any given sample and is also referred to as a solution. Conversely, a heterogeneous mixture has components in which proportions vary throughout the sample. "Homogeneous" and "heterogeneous" are not absolute terms, but are dependent on context and the size of the sample.
In chemistry, if the volume of a homogeneous suspension is divided in half, the same amount of material is suspended in both halves of the substance. An example of a homogeneous mixture is air.
In physical chemistry and materials science this refers to substances and mixtures which are in a single phase. This is in contrast to a substance that is [[heterogeneous.[11]
A diagram representing at the microscopic level the differences between homogeneous mixtures, heterogeneous mixtures, compounds, and elements
Solution Edit
A solution is a special type of homogeneous mixture where the ratio of solute to solvent remains the same throughout the solution and the particles are not visible with the naked eye, even if homogenized with multiple sources. In solutions, solutes will not settle out after any period of time and they can't be removed by physical methods, such as a filter or centrifuge.[12] As a homogeneous mixture, a solution has one phase (solid, liquid, or gas), although the phase of the solute and solvent may initially have been different (e.g., salt water).
Gases Edit
Air can be more specifically described as a gaseous solution (oxygen and other gases dissolved in the major component, nitrogen). Since interactions between molecules play almost no role, dilute gases form trivial solutions. In part of the literature, they are not even classified as solutions. In gas, intermolecular space is the greatest—and intermolecular force of attraction is least. Some examples can be oxygen, hydrogen, or nitrogen.
Making a distinction between homogeneous and heterogeneous mixtures is a matter of the scale of sampling. On a coarse enough scale, any mixture can be said to be homogeneous, if the entire article is allowed to count as a "sample" of it. On a fine enough scale, any mixture can be said to be heterogeneous, because a sample could be as small as a single molecule. In practical terms, if the property of interest of the mixture is the same regardless of which sample of it is taken for the examination used, the mixture is homogeneous.
Gy's sampling theory quantitavely defines the heterogeneity of a particle as:[13]
{\displaystyle h_{i}={\frac {(c_{i}-c_{\text{batch}})m_{i}}{c_{\text{batch}}m_{\text{aver}}}},} {\displaystyle h_{i}={\frac {(c_{i}-c_{\text{batch}})m_{i}}{c_{\text{batch}}m_{\text{aver}}}},}
where {\displaystyle h_{i}} h_{i}, {\displaystyle c_{i}} c_{i}, {\displaystyle c_{\text{batch}}} c_{{\text{batch}}}, {\displaystyle m_{i}} m_{i}, and {\displaystyle m_{\text{aver}}} m_{{\text{aver}}} are respectively: the heterogeneity of the {\displaystyle i} ith particle of the population, the mass concentration of the property of interest in the {\displaystyle i} ith particle of the population, the mass concentration of the property of interest in the population, the mass of the {\displaystyle i} ith particle in the population, and the average mass of a particle in the population.
During sampling of heterogeneous mixtures of particles, the variance of the sampling error is generally non-zero.
Pierre Gy derived, from the Poisson sampling model, the following formula for the variance of the sampling error in the mass concentration in a sample:
{\displaystyle V={\frac {1}{(\sum _{i=1}^{N}q_{i}m_{i})^{2}}}\sum _{i=1}^{N}q_{i}(1-q_{i})m_{i}^{2}\left(a_{i}-{\frac {\sum _{j=1}^{N}q_{j}a_{j}m_{j}}{\sum _{j=1}^{N}q_{j}m_{j}}}\right)^{2},} {\V={\frac {1}{(\sum _{i=1}^{N}q_{i}m_{i})^{2}}}\sum _{i=1}^{N}q_{i}(1-q_{i})m_{i}^{2}\left(a_{i}-{\frac {\sum _{j=1}^{N}q_{j}a_{j}m_{j}}{\sum _{j=1}^{N}q_{j}m_{j}}}\right)^{2},}
in which V is the variance of the sampling error, N is the number of particles in the population (before the sample was taken), q i is the probability of including the ith particle of the population in the sample (i.e. the first-order inclusion probability of the ith particle), m i is the mass of the ith particle of the population and a i is the mass concentration of the property of interest in the ith particle of the population.
The above equation for the variance of the sampling error is an approximation based on a linearization of the mass concentration in a sample. I had my book but I didn't take the pic
Explanation:
your answer
Homogeneous mixture........
Homogeneous mixture. homogeneous mixture is a mixture in which the composition is uniform throughout the mixture. The salt water described above is homogeneous because the dissolved salt is evenly distributed throughout the entire salt water sample. ... One characteristic of mixtures is that they can be separated into their components.
EXAMPLE.........
▪️blood.
▪️a sugar solution when the sugar is completely dissolved.
▪️a mixture of alcohol and water.
▪️a glass of orange juice.
▪️salty water (where the salt is completely dissolved)
▪️brewed tea or coffee.
▪️soapy water.
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heterogeneous mixture .........
heterogeneous mixtureheterogeneous mixture is simply any mixture that is not uniform in composition - it's a non-uniform mixture of smaller constituent parts. By contrast, a mixture that is uniform in composition is a homogeneous mixture.
adjective. different in kind; unlike; incongruous. composed of parts of different kinds; having widely dissimilar elements or constituents: The party was attended by a heterogeneous group of artists, politicians, and social climbers.
EXAMPLE.....
▪️blood.
a sugar solution when the sugar is completely d▪️issolved.
a mixture of alcohol and water.
▪️a glass of orange juice.
salty water (where the salt is completely ▪️dissolved)
brewed tea or coffee.
▪️soapy water.
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