a. Convert the decimal number 1038.3 to octal. (Truncate to 3 digits after the point if the octal fraction does not terminate.)
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!
discrete math
![a. Convert the decimal number 1038.3 to octal. (Truncate to 3 digits after the point if the
octal fraction does not terminate.)
b. Convert the hexadecimal number 9E. A16 to decimal.
c. Perform the following calculations in binary arithmetic
101102 x 1012
1000102 - 11102](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5dcb9c05-0b3a-4a82-935e-74337bee4e38%2Fab3f34ec-38e5-43ed-86b9-69fbd7d58b92%2F13gxqti_processed.png&w=3840&q=75)
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