# Problem Set #3 Quiz Answer

In this article i am gone to share Coursera Course Divide and Conquer, Sorting and Searching, and Randomized Algorithms Week 3 | Problem Set #3 Quiz Answer with you..

## Divide and Conquer, Sorting and

Searching, and Randomized Algorithms

**Also visit this link:** Problem Set #2 Quiz Answer

### Problem Set #3 Quiz Answer

**Question 1) Let 0 < a <.5 be some constant (independent of the input array length n). Recall the Partition subroutine employed by the QuickSort algorithm, as explained in lecture. What is the probability that, with a randomly chosen pivot element, the Partition subroutine produces a split in which the size of the smaller of the two subarrays is ≥ a times the size of the original array?**

**1 – 2 ✲ a**- a
- 1 – a
- 2 – 2✲a

**Question 2) Now assume that you achieve the approximately balanced splits above in every recursive call —that is, assume that whenever a recursive call is given an array of length k, then each of its two recursive calls is passed a subarray with length between ak and (1 – a)k (where a is a fixed constant strictly between 0 and.5). How many recursive calls can occur before you hit the base case? Equivalently, which levels of the recursion tree can contain leaves? Express your answer as a range of possible numbers d, from the minimum to the maximum number of recursive calls that might be needed.**

**Question 3) Define the recursion depth of QuickSort to be the maximum number of successive recursive calls before it hits the base case — equivalently, the number of the last level of the corresponding recursion tree. Note that the recursion depth is a random variable, which depends on which pivots get chosen. What is the minimum-possible and maximum-possible recursion depth of QuickSort, respectively?**

**Minimum: Θ(log(n)); Maximum: Θ(n)**- Minimum: Θ(log(n)); Maximum: Θ(n log(n))
- Minimum: Θ(1); Maximum: Θ(n)
- Minimum: Θ(√n); Maximum: Θ(n)

**Question 4) Consider a group of k people. Assume that each person’s birthday is drawn uniformly at random from the 365 possibilities. (And ignore leap years.) What is the smallest value of k such that the expected number of pairs of distinct people with the same birthday is at least one?**

[Hint: define an indicator random variable for each ordered pair of people. Use linearity of expectation.]

**28**- 27
- 20
- 23
- 366

**Question 5) Let X1, X2, X3 denote the outcomes of three rolls of a six-sided die. (l.e., each Xi is uniformly distributed among 1,2,3,4,5,6, and by assumption they are independent.) Let Y denote the product of X1 and X2 and Z the product of X2 and X3. Which of the following statements is correct?**

- Y and Z are independent, but E[Y ✱ Z] ≠ E[Y]✱ E[Z].
- Y and Z are independent, and E[Y ✱ Z] ≠ E(Y] ✱ E[Z].
**Y and Z are not independent, and E[Y ✱ Z] ≠ E(Y] ✱ E[Z].**- Y and Z are not independent, but E[Y ✱ Z] ≠ E(Y] ✱ E[Z].