There must be some value otherwise nobody would do them. On that basis, the value must be positive.
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Depending on colours of course black is usually negative and the other colour (generally red but depends) is positive. Get a D-cell Battery. Now get two pieces of speaker wire. hold one wire on the positive terminal of the battery and hold the other on the negative side of the battery. touch the wires to the positive and negative posts on the speaker. if the cone moves out ward the positive and negative are correct if it moves inward then the positive and negative are reversed (out of phase.) this simple test will allow you to see which terminal is which. Get a D-cell Battery. Now get two pieces of speaker wire. Hold one wire on the positive terminal of the battery and hold the other on the negative side of the battery. Touch the wires to the positive and negative posts on the speaker. If the cone moves outward the positive and negative are correct if it moves inward then the positive and negative are reversed (out of phase.) this simple test will allow you to see which terminal is which.
Not exactly. "HIV positive" means that someone's test for HIV antibodies came back positive, i.e. that the antibodies are present and that the person has at least been exposed to, and is almost certainly infected with, the virus. AIDS, however, is a syndrome, or condition. There isn't a specific test for it, so the terms "positive" and "negative" have no real meaning. AIDS means that not only is the person infected, but the infection has progressed to the point that they are showing symptoms. You can be "HIV positive" (the test showed antibodies) or "HIV negative" (the test did not show antibodies), but not "AIDS positive" or "AIDS negative". Everyone with AIDS is (or should be, since HIV is the virus that causes AIDS) "HIV positive", but it's possible to be "HIV positive" for a considerable length of time before eventually developing AIDS.
No.
Not necessarily. f(x) = -1-x2 is negative for any test value of x, it is asymptotically negative infinity, but it is NEVER zero.
you do the observed-expected value and square it, then devide that by the expected you do this for each cell then you add them up also you can enter your data as a matrix on a calculator TI and go to stat, test, chi square test.