Suppose we have n bits of memory available, and our set S has m members. Instead of using k hash functions, we could divide the n bits into k arrays, and hash once to each array. As a function of n, m, and k, what is the probability of a false positive? How does it compare with using k hash functions into a single array?

Write a car class having two private member variables called tank and speed. write public methods called pumpgas and gofast. the method pumpgas gets an integer for gas that must be pumped. that value needs to be added to tank (no more than 20 gallons). it must return the amount of gas that is purchased ($4 per gallon). the method gofast should increase the speed by 5 each time it is called. write a constructor for the above class that initialized both variables to zero. write a tostring to display both the tank and speed when the car is printed. modify the car class to implement the interface comparable and an interface called carinter having the public methods in carinter. write the main program to create an array of size 5 of type car. create 5 car objects having each location of the array to refer to one of the cars. test the pumpgas, gofast, equals method on the array items. write an enhanced loop to print all the car values (using a tostring written last time).write a generic method to find the minimum of four items. pass int, double, char, string and car objects to test this method.

Assume that minutes is an int variable whose value is 0 or positive. write an expression whose value is "undercooked" or "soft-boiled" or "medium-boiled" or "hard-boiled" or "overcooked" based on the value of minutes. in particular: if the value of minutes is less than 2 the expression's value is "undercooked"; 2-4 would be a "soft-boiled", 5-7 would be "medium-boiled", 8-11 would be "hard-boiled" and 12 or more would be a "overcooked".

Complete the sentence about a presentation delivery method