Answer:
The correct Answer is 0.0571
Explanation:
53% of U.S. households have a PCs.
So, P(Having personal computer) = p = 0.53
Sample size(n) = 250
np(1-p) = 250 * 0.53 * (1 - 0.53) = 62.275 > 10
So, we can just estimate binomial distribution to normal distribution
Mean of proportion(p) = 0.53
Standard error of proportion(SE) = 
= 
= 0.0316
For x = 120, sample proportion(p) = 
= 
= 0.48
So, likelihood that fewer than 120 have a PC
= P(x < 120)
= P( p^ < 0.48 )
= P(z < 
) (z=
)
= P(z < -1.58)
= 0.0571 ( From normal table )
Answer:
def corresponding_of_lists(lst1, lst2):
c = ""
corresponding_list = []
if (lst1 is None) or (lst2 is None):
return None
else:
for i in lst1:
for j in lst2:
c = "(" + str(i) + "," + str(j) + ")"
corresponding_list.append(c)
return corresponding_list
Explanation:
- Create a function called corresponding_of_lists that takes two lists as parameter
- Initialize an empty list to hold the corresponding values
- Check if any of the lists are null, if they are return None
- Otherwise, get the corresponding elements and put them into the corresponding_list
Return the corresponding_list
The currency element constitutes information whether the information of the website is current or up to date.
<h3>Website</h3>
A website is a term used to describe unique publicly accessible web pages that are identified by a domain name. Information on websites is typically updated by website owners, hence, some websites may not be updated frequently when compared to others. Thus, the currency element is an element users take into consideration when evaluating a website's content, whether or not the information is up to date.
You can learn more about the currency element here https://brainly.in/question/48673521
#SPJ1
Answer:
students will be more attentive and active
Explanation:
Answer:
Decorative font, because having a fancy font on a resume is not going to be looked at
