For this case we first define the variable: x = number of terms. The equation that models the problem is: f (x) = 3.4 - 0.6x We have then that the first four terms are: x = 1 f (1) = 3.4 - 0.6 (1) = 3.4 - 0.6 = 2.8 x = 2 f (2) = 3.4 - 0.6 (2) = 3.4 - 1.2 = 2.2 x = 3 f (3) = 3.4 - 0.6 (3) = 3.4 - 1.8 = 1.6 x = 4 f (4) = 3.4 - 0.6 (4) = 3.4 - 2.4 = 1 Answer: The rule for the sequence is: f (x) = 3.4 - 0.6x option 1
The answer is true. A conditional probability is a measure
of the probability of an event given that (by assumption, presumption,
assertion or evidence) another event has occurred. If the event of interest is
A and the event B is known or assumed to have occurred, "the conditional
probability of A given B", or "the probability of A in the condition
B", is usually written as P (A|B). The conditional probability of A given
B is well-defined as the quotient of the probability of the joint of events A
and B, and the probability of B.
The measurements can be anything convenient. The aspect ratio (height to width) is 1 : 1.
When the flag is displayed next to a rectangular flag, it should have the same area as the rectangular flag. (This will mean the Swiss flag side length is the geometric mean of the rectangular flag dimensions.)
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Sometimes, the measurements of the flag are chosen to go with the height of the flagpole. The US flag is customarily displayed on a pole 3-4 times as long as the flag is long. That is, the diagonal of the flag is about 0.28 to 0.38 times the pole height.* I could not find comparable information about the Swiss flag.
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* The diagonal is of interest when the flag is hanging down along the pole, not flying in the wind.
