Answer:
Given that the time to read data off a 7200 rpm disk drive will be roughly 75% of 5400 rpm disk, at 30% idle time of 7200 rpm disk will the power consumption be equal, on average for the two disk
Explanation:
Let the 7200-disk busy time = x ( we need to calculate it)
As given in the question the in the given time to read data off a 7200 rpm disk drive will be roughly 75% of 5400 rpm disk. This mean that we equalize the equations of both disk power
7200-disk power = 5400-disk power
here we apply the formula to calculate the 7200 rpm disk busy time
4.0 * (1-x) + 7.9 * x = 2.9 * (1-x/0.75) + 7.0 * x/0.75
4.0 + 3.9 x = 2.9 – 3.87 x + 9.33 x
1.1 = 5.47 x – 3.9 x
we calculate the value for x
Hence x = 0.70
Applying formula to calculate the idle time.
Idle time = 1.0 – 0.70 = 0.30
please find the blank
Jesse should use templates to customize her company's logo, name, address, and similar details in all her business documents.
Jesse should use templates to personalize her company's logo, name, address, and other pertinent information in all of her business documents.
Templates are pre-designed documents that can be used to begin the creation of new documents.
Jesse can ensure that all of her business documents have a consistent look and feel by customizing a template to include the specific details of her company.
Thus, this can help to build brand recognition and promote professionalism.
For more details regarding templates, visit:
#SPJ7
Answer:
The answer is Templates
Explanation:
Answer:
from functools import reduce
def mean(mylist):
score = reduce(lambda x,y: x + y, mylist)/ len(mylist)
return score
def median(mylist):
sorted(mylist)
list_len = len(mylist) % 2
i = round(len(mylist)/2)
x = len(mylist)//2
if list_len == 0:
median = (mylist[x] + mylist[x+1]) / 2
else:
median = mylist[i]
return median
def mode(mylist):
unique = set(mylist)
unique = list(unique)
collector = [mylist.count(key) for key in unique]
maxi = max(collector)
loc = collector.index(maxi)
return unique[loc]
def main():
scores = input( 'Enter list of numbers: ').split(",")
scores = [int(score) for score in scores]
operation = input('Enter operation: ')
operator = ['mean', 'median', 'mode']
for x in iter(list, 0):
if operation in operator:
break
print("Invalid operation: ")
operation = input('Enter operation')
index_loc = operator.index(operation)
if index_loc == 0:
return mean(scores)
elif index_loc == 1:
return median(scores)
#return np.median(scores) can be used of the defined function
elif index_loc == 2:
#return stats.mode(scores)[0] can be used of the defined function
return mode(scores)
print( main( ) )
Explanation:
The main python function calls conditionally three statistical functions namely mean, median and mode. It prompts for user input for a list of integer numbers and a function name name to return the corresponding result.