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Comparision between binomial plus normal plus hypergeometric distribution?
The binomial distribution is a discrete probability distribution which describes the number of successes in a sequence of draws from a finite population, with replacement. The hypergeometric distribution is similar except that it deals with draws without replacement. For sufficiently large populations the Normal distribution is a good approximation for both.
What is the difference between normal variable and register variable in c?
In C/C++ when we declare a variable; e.g int var; for this variable (i.e. var) memory is being reserved in RAM (i.e out side processor). If we declare variable like that; register int var2; for this variable memory is being reserved in register of CPU (i.e. withing processor) But register variables are discouraged because processor has to work with registers..... Note: strictly speaking, storage class 'register' means: dear compiler, you might optimize this variable into register, as I won't ever request its address. But of course, it's up to you to decide.
What is the function of an accumulator?
An accumulator is a register that is a part of a processor. It has more/faster instructions than other registers. Examples:/360: no accumulator8080: A6800: A and B8086: AX80386: EAXx86-64: RAXThe accumulator in an automatic transmission softens the shift between gears.
Main difference between 8085 and 8086?
The most significant difference between the Intel 8085 and 8086 microprocessors is that the 8085 is an 8-bit system and the 8086 is a 16-bit system. This difference allows the 8086 system to have a much larger set of operational instructions and can make calculations to more significant places. Note: the 8085 processor does have two 16-bit registers. The pointer and the program counter.
How many prime numbers between 1 and 8888888888888888888888888888888888888888888888?
To determine the number of prime numbers between 1 and 8888888888888888888888888888888888888888888888, we can use the Prime Number Theorem. This theorem states that the density of prime numbers around a large number n is approximately 1/ln(n). Therefore, the number of prime numbers between 1 and 8888888888888888888888888888888888888888888888 can be estimated by dividing ln(8888888888888888888888888888888888888888888888) by ln(2), which gives approximately 1.33 x 10^27 prime numbers.
