Q$1.$ Basic Operations with Lists and Arrays

You are given the failure times $($in hours$)$ of five machines as a list: failure$\_$times $=[50,60,45,90,85].$ Write a Python script to:

Find the total operational time $($sum of failure times$).$

Find the average failure time.

Q$2.$ Simple Function for Reliability Classification

Write a Python function is$\_$reliable$()$ that takes a failure time as input and returns 'Reliable' if the failure time is above $70$ hours, and 'Unreliable' otherwise. Test this function with a failure time of $85$ hours.

Q$3.$ Numpy Basics: Mean and Sum

Using Numpy, create an array of failure times: failure$\_$times $=$ np$.$array$([50,40,60,80,55]).$ Find:

The total failure time.

The mean failure time.

Q$4.$ Counting Failures Above a Threshold

You have a list of machine failure times: failure$\_$times $=[40,95,60,85,55,70,100].$ Write a Python script to count how many times a machine failed after running for more than $80$ hours.

Q$5.$ Creating and Accessing a Dictionary

Create a dictionary called machine$\_$data where each key is a machine ID and the value is its failure time. Then, retrieve and print the failure time of machine with ID 'Machine$\_3\text{'}.$

Q$6.$ Creating Simple Plots

You have failure times for four machines: failure$\_$times $=[60,75,45,90].$ Plot a simple bar chart using Matplotlib, where the x$-$axis represents machine IDs $($Machine $1,$ Machine $2,$ etc.$)$ and the y$-$axis represents failure times.

Q$7.$ Finding Maximum and Minimum Values

You are given an array of failure times: failure$\_$times $=$ np$.$array$([100,120,90,110,130]).$ Using Numpy, find:

The maximum failure time.

The minimum failure time.

Q$8.$ Filtering Data

Using a list of failure times: failure$\_$times $=[95,50,70,85,60,40,100].$ Write a Python script to filter out the failure times that are less than $60$ hours and print the remaining times.