Answer: the most recent source that brought the individual to the point of action
Explanation:
An attribution model is a strategy that is used to determine the way one assign credit for conversions across the various touch-points of the customer. An attribution model may consist of email, paid search, social media, referrals, digital channels etc.
Last-Click Attribution is a web analytics model whereby the “last click” is the one given credit for a conversion or sale. In other words, when someone comes to your website and then orders some goods, there should be a web analytics system that is in place which will tell you where the customer came from.
Based on the explanation, last-click attribution will give credit for the action of a customer to the most recent source which brought such individual to the point of action.
Formula: Interest =Principal ×rate× time. so, P=200 $, r= 5.5% or 5.5/100 =0.055. t,is the time involved ......5 years (s) time periods....so is 5 .....year time periods..... to find the simple interest ,we multiply 200×0.055×5=$ 55.00. to figure it out the new amount after 5 years it will be liked : $200.00 +$55.00=$255.00
Rosario most likely attended a situational interview. Situational interview questions ask you to reply hypothetically to a circumstance that might arise at work.
In these interviews interviewer is interested in learning how you would respond to a problem at work. Then, your reply will be compared to those of the other applicants.
Situation-based interview questions frequently ask candidates to solve problems and deal with challenging situations at work.
The best responses to scenario-based interview questions give specific instances of how you handled situations comparable to the one in question. However, you can also share some details about how you expect you would react to the situation. By doing this, you'll be giving the interviewer knowledge that is based on situations you actually encountered and overcame.
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Answer:
No-shows in Hotel Reservations
Sample mean
= Sum of the samples divided by the number
= (18 + 16 + 16 + 16 + 14 + 18 + 16 + 18 + 14 + 19)/10 = 16.5
Explanation:
In mathematics and statistics, the arithmetic mean, or simply the mean or average is the sum of a collection of numbers divided by the count of numbers in the collection.
A sample mean therefore is the average of the sum of a collection of samples divided by the count of numbers in the collection. Simply, the sample mean is the average of all the measurements in the sample.