Because physical properties have a lot more resistance than chemical properties. Thickness is a physical property because it doesn't have reactivity. If I took a shoe and threw it at my friend, he would grow a bump on his head. That would be a physical property. The same thing applies here. A Feather is a chemical substance, and Iron is a physical substance. A Feather is more dense, and has less mass. Iron is less dense, and has more mass. The answer is simple: Different subsctances have different melting points and boiling points, therefore feather samples weigh more than iron samples.
People who weigh more do not normally have more blood volume. This is because what makes people overweight is fat not blood.
Independence of the two samples means that the choosing of the first sample did not influence the choosing of the other sample, and vice versa. For example, if you were comparing running speed in two different brands of running shoes, you could look at two samples of people running a 100 m dash -- one sample of people running in Brand A and one sample of people running in Brand B. If those two groups were picked independently of one another, these samples would be independent. If, instead, you had the same group of people run the race twice (once in each brand of shoe), these samples would be dependent. Samples that are not independent are said to be "correlated", "interdependent", or "dependent". Because the two samples are correlated, you might get incorrect findings for your statistical study. For example, say you want to compare the heights of boys and girls. If you chose the samples by choosing a girl for the girl sample, then choosing her brother for the boy sample, your statistical analyses might be misleading if you didn't account for the fact that tall girls are more likely to have tall brothers, and short girls are more likely to have short brothers. By choosing siblings for the two groups, you have made the two samples not independent of one another. If the independence assumption is violated, you have to do a special type of statistical test. For example, instead of doing a two-sample t-test, you would have to do a paired t-test.
The more samples you use, the closer your results will match probability.
A bushel of green pinto beans weighs about sixty pounds. This is the seed itself rather than the harvested bean which can weigh more when wet or when first harvested.
standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.
They both weigh the same = 1KgThe answer is there in your question
Iron is much denser than a feather. Yet, a particular sample of feathers weighs more than a sample of iron.
The right question should be: Does one mole of iron weigh the same as one mole of iron oxide? The answer is NO, Iron Oxide weighs more.
They all weigh the same.
Yes it does. Because the apple is still heavier and will get more gravitional pull. And the feather will still weigh less.
The answer is in the question. they both weigh one gram (this is the same).
Assuming you meant pound of lead, they weigh the same.
Because iron is much more dense.
They are both one pound, so they weigh the same amount.
One, the correct term is "Which weighs more: a pound of lead or a pound of feathers?" Two, the answer is that they weigh exactly the same, because they both weigh a pound.
They both weigh the same. Ten pounds is ten pounds. (:
The iron the hasn't burnt will less than the one that has burn because the mass is goign more thicker because it is burning