Answer:
a. count of observations that meet a condition (counts), total number of observations (nobs), Hypothesized value of population proportion (value).
Explanation:
In other to use the proportion_ztest method, the need to make import from the statsmodel module ; statsmodels.stats.proportion.proportions_ztest ; this will allow use use the Z test for proportion and once this method is called it will require the following arguments (count, nobs, value=None, alternative='two-sided', prop_var=False)
Where;
nobs = number of observations
count = number of successes in the nobs trial or the number of successes for each independent sample.
Value = hypothesized value of the population proportion.
Answer:
1.Execution Unit. 2.Bus interface unit
Explanation:
Answer:
text with a hyperlink to the video website
Explanation:
documents do not auto-upload thumbnails or embedded videos for playback, so external links are pasted there
Answer:
Click anywhere in the dataset
Go to Insert –> Tables –> Pivot Table.
In the Create Pivot Table dialog box, the default options work fine in most of the cases.
click ok
Explanation:
Answer:
Written in Python
for num in range(1,1001):
sum=0
for j in range(1,num+1):
if num%j==0:
sum = sum + j
if num == sum:
print(str(num)+" is a perfect number")
Explanation:
This line gets the range from 1 to 1000
for num in range(1,1001):
This line initializes sum to 0 for each number 1 to 1000
sum=0
This line gets the divisor for each number 1 to 1000
for j in range(1,num+1):
This following if condition line checks for divisor of each number
<em> if num%j==0:
</em>
<em> sum = sum + j
</em>
The following if condition checks for perfect number
if num == sum:
print(str(num)+" is a perfect number")
