o= 4(i) +3step-by-step explanation: o is your output value and i is your input value. so, for exampl...

Mathematics, 13.12.2021 20:20 isiss18

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Mathematics, 20.06.2019 18:02, olaffm9799

Carrie and krystal are taking a road trip from greenville each person has her own map carry in north valley or each person has her own map in the scales on the maps are different and carries map read about in northville are 4.5inches apart the scale on a map is 1 inch equals 20 miles how far is greenville from north valley

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Mathematics, 21.06.2019 15:00, khloenm309

Δabc is reflected across line l to form δ alblcl, and a¯¯¯al¯¯¯¯ intersects line l at point d. which equation is not necessarily true?

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Mathematics, 21.06.2019 21:00, mawawakaiii

Asequence has its first term equal to 4, and each term of the sequence is obtained by adding 2 to the previous term. if f(n) represents the nth term of the sequence, which of the following recursive functions best defines this sequence? (1 point) f(1) = 2 and f(n) = f(n − 1) + 4; n > 1 f(1) = 4 and f(n) = f(n − 1) + 2n; n > 1 f(1) = 2 and f(n) = f(n − 1) + 4n; n > 1 f(1) = 4 and f(n) = f(n − 1) + 2; n > 1 i will award !

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Mathematics, 21.06.2019 22:30, thelonewolf5020

Amachine that produces a special type of transistor (a component of computers) has a 2% defective rate. the production is considered a random process where each transistor is independent of the others. (a) what is the probability that the 10th transistor produced is the first with a defect? (b) what is the probability that the machine produces no defective transistors in a batch of 100? (c) on average, how many transistors would you expect to be produced before the first with a defect? what is the standard deviation? (d) another machine that also produces transistors has a 5% defective rate where each transistor is produced independent of the others. on average how many transistors would you expect to be produced with this machine before the first with a defect? what is the standard deviation? (e) based on your answers to parts (c) and (d), how does increasing the probability of an event aâ†µect the mean and standard deviation of the wait time until success?

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