Answer:
E) none of the above
12.70% and 2.49% standard deviation
Explanation:
We multiply probability by the outcome to get the weighted amount, we add them and get the expected return.
probability outcome weighted
0.25 0.10 0.0250
0.45 0.12 0.0540
0.30 0.16 0.0480
expected return 0.1270
Now that we got the expected return at 12.7%
We now subtract the possible outcome with the expected return and square them:
(0.127-0.1)^2
(0.127-0.12)^2
(0.127-0.16)^2
Then we add them and divide by the sample which is 3
0.000622
²√ 0.000622 = 0.024944383
<u><em>Final step,</em></u> will be the square root which gives the standard deviation
of 2.49% = 0.024947
The given values in the problem are enumerated below:
futa tax rate = 0.8%
suta tax rate = 5.4 %
Employee's fee = $7,100
Amount taxes = $7100 *(0.008+0.054)= $440.2
When an employee earned total wages of $9100, we can solve the unknown:
Employee's wages = $9100 + $440.2
Employee's wages = $ 9540.2
Answer:
8.13%
Explanation:
Annual return = [ (Total FV/Initial investment)^(1/n) ] -1
n = useful life of the project
Total Future Value = (22650*5) +5000
Total FV = $118,250
Initial investment = $80,000
Annual return = [ (118,250/80,000)^(1/5) ] -1
r = [ (1.478125^(1/5)] -1
r = 1.0813 - 1
r = 0.0813 or 8.13%
Answer: True
Explanation:
The Hawthorne studies were designed originally in order to show the relationship that existed between productivity and the workplace conditions.
A study like the the level of lighting was used to show correlation with the productivity of the workers and the result was that demonstrated that no matter what the levels of light and noise were, there was an increase in the worker productivity because the workers liked the attention they received by being part of a study.
The correct answer is: Customer Match relies on your own data instead of a remarketing tag.
INTERPRETATION
If an advertiser doesn’t want to add remarketing tags to a website then Customer Match would be a good fit for them because Customer Match creates a similar audience for you by using the data from your ad accounts and campaigns. This makes the Customer Match data reliable because it uses your own data instead of a remarketing tag.
The Customer Match audience is created from the interests and behavior of the audience similar to your previous website visitors.
Therefore, we can conclude that the correct option is D. If an advertiser doesn’t want to add remarketing tags to a website then Customer Match would be a good fit for them because Customer Match relies on your own data instead of a remarketing tag.
Your question is incomplete, but most probably your full question was:
If an advertiser doesn't want to add remarketing tags to a website, why would Customer Match be a good fit for them?
a. Customer Match allows you to reach people who have been to your website
b. Customer Match allows you to reach people who haven’t been to your website yet
c. It wouldn’t be a good fit. You have to tag your website to use Customer Match
d. Customer Match relies on your own data instead of a remarketing tag
Learn more about Remarketing on:
brainly.com/question/27692394
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