Which exponential expressions are true? Select all that apply. *HINT* - ALL A 4.4 = 24 B 8 8.8.8 = 84 C 9.9.9.9 9.9%3 96

Q: 6) log, 625

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Q: 14. Evaluate log 3 81 2

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Q: Rewrite the following using exponential form. Then find the solution for x. a. log, 36 = x b. -3 =…

A: We know that a.

Q: 9. 10. Solve log, 8 1 64 a. Solve log(3x + 1) = 5 a. 1 43 b. -16 b. 8 C. C. -64 300 d. 4 d. 33333

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Q: Which of the following is 25 * 25 * 25 written in exponential form?

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Q: If log, = 3 then 3D3 then O z=8 I = 27 O x = 125 =64 x = 216

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Q: logarithms. :): /hich is equivalent to In x²+1 ? 2y³x4

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Q: 4. Choose the best answer. If logs 52 = O1 O 2 O 5

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Q: Write an expression equal to - log, (c) · log (b) |using exactly one log. (hint: the base of the log…

A: Concept: Here we shall use the formula for change of base. logab=logcblogca Using the identity we…

Q: Evaluate the following expressions 5. log, 3

A: Evaluate the given expression.

Q: 10 Which is the logarithmic form of 2" A log, 10 = 1024 1024? B log, 1024 = 10

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Q: log,9 – log,5 = log , 4 4

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Q: In (4.x) = 3

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Q: here are 4 statements below, how many of them are correct? In(a2- ab) • log,(a²– ab)= Ina log(a?-…

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Q: a+b A) If :) 16 and loga-b 8 = 3, determine the values of a and b.

A: The logarithm of a given number x is the exponent to which another fixed number, the base b, must…

Q: Which pair of expressions in the list are equivalent? 8 log4 9 log4 8 b. а. C. log4 8 – log4 9 log4…

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Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!