Answer:
b. Public Goods
Explanation:
Public Goods -
It is the type of goods and services , which each and every person can use , without any kind of restriction , is known as public goods .
These type of goods are considered to be non - rivalrous , i.e. , these goods do not reduce , irrespective of their usage .
And ,
are non - excludable , i.e. , these goods are open for all and some individual or group van not hold on to it .
The example of public goods are - public parks , sewer system , law enforcement etc .
Answer:
Tax Value = 107.5 - 100 = 7.5
i'm not sure about the last portion
You can check your credit and you can us it for the car u want ,
Answer:
Searching for 'electronic music schools' was the signal to target you with that ad.
Explanation:
Searching engines are a whole discipline right now. The power to offer what you probably like increase sales on internet.
When we search something, there's algorithms that save the key words you used. This is immediately is linked to the ad's algorithms to offer you some service or product related.
That's how Google, for example, offer you products related with your key words searched it before. The same happens with Spotify, algorithms save your key words (artist, specific songs, albums...) to offer you in the future a whole list related with your previous search.
Answer:
b
Explanation:
There are two types of forecasting method
1. Qualitative forecasting
2. Quantitative forecasting
Qualitative forecasting can be described as when subjective judgement or non quantifiable information in forecasting.
<em>When is qualitative forecasting suitable ?</em>
- It is used when historical data in unavailable.
- this method is suitable when it is predicted that future result would depart from what historical data may suggest
<em>Advantages of Qualitative forecasting </em>
- it is flexible
- It can be used when data available is ambiguous or unclear
<em>Disadvantage of Qualitative forecasting </em>
It is subjective.
Quantitative forecasting can be described as forecasting using historical data
