Part C 34. Consider the array speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]. The given array contains the speeds of various type of car. Calculate the statistical features like mean, mode, median, standard deviation and variance. (K2-CO2)

To calculate the statistical features of the given array, we will use Python's statistics and numpy libraries. Here are the steps:

1. Mean: The mean is the average of all numbers and is sometimes called the arithmetic mean. This can be calculated with the mean() function.

import statistics as stats
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
mean = stats.mean(speed)
print("Mean: ", mean)

2. Mode: The mode is the number that appears most frequently. This can be calculated with the mode() function.

mode = stats.mode(speed)
print("Mode: ", mode)

3. Median: The median is the middle number in a sorted list of numbers. This can be calculated with the median() function.

median = stats.median(speed)
print("Median: ", median)

4. Standard Deviation: This is a measure of how spread out numbers are. This can be calculated with the stdev() function.

std_dev = stats.stdev(speed)
print("Standard Deviation: ", std_dev)

5. Variance: This is a measure of how spread out numbers are. This can be calculated with the variance() function.

variance = stats.variance(speed)
print("Variance: ", variance)

Run these codes in a Python environment to get the statistical features of the given array.