Answer:
The program in Python is as follows:
total = 0
count = 0
for i in range(8):
num = float(input())
if num < 10.5:
total+=num
count+=1
print("Average: ",total/count)
Explanation:
This initializes the total to 0
total = 0
This initializes the count to 0
count = 0
This loop is executed 8 times
for i in range(8):
This request for float number
num = float(input())
If input is less than 10.5
if num < 10.5:
The sum is taken
total+=num
And count is incremented by 1
count+=1
The loop ends here
This calculates and prints the average
print("Average: ",total/count)
1. All Categories is used to rename the categories in the Outlook 2016.
2. Mark as Unread option in the outlook makes the subject line bold again.
3. When new contact created, the desktop alert is not generated in Outlook 2016.
4. It cannot be viewed by anyone except the meeting organizer, describes the part of meeting scheduling process.
5. Card Style is the option to choose.
Explanation:
1. To rename the category follow the below steps:
- Select-> categorize,
- Select All Categories.
- In the given color name list, select the color category that you wish to rename.
- in the name list, provide the new name.
2. Mark as read option makes the subject line of the outlook message to appear bold again even it is opened and viewed by the user.
3. The Outlook generates desktop alert for meeting request, when receiving email, while receiving task assignment except while you create a new contact.
4. While scheduling a meeting process, it cannot be viewed by anyone except the meeting organizer is the message that comes as a prompt.
5. To print a contact in a business card format, STacy needs to choose a card style and not memo, or booklet styles.
Answer:
D. None of the answers is correct, since we're missing the probabilities: p(X1=0), p(X1=1),
Explanation:
To calculate the probability that an example belongs to a particular category, we need to know the prior probability of the category (p(Y=0) or p(Y=1)), the probability of the attribute value given the category (p(X1=0|Y=0) or p(X1=1|Y=1)), and the probability of the attribute value (p(X1=0) or p(X1=1)). We are missing the latter two probabilities, so we cannot calculate the probability that an example belongs to a particular category.
Answer:
contrast
Explanation:
<h2><u>Fill in the blanks</u></h2>
Adjusting the <u>contrast </u>adjusts the difference in appearance between light and dark areas of the photo.