What temperature (in Fahrenheit) does water freeze?
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The information which can be deduced from this graph on green tea are:
B. Green tea is inelastic in terms of supply.
E. The supply of green tea does not change sharply with the price.
<h3>What is supply?</h3>Supply can be defined as the total quantity of goods or services that are demanded by consumers at a given period of time.
<h3>The types of supply.</h3>In Economics, there are two main types of supply and these include:
- Elastic supply
- Inelastic supply
Inelastic supply is a situation that occurs when the quantity of goods or services that the producers are willing to produce, doesn't change as the price of goods or services increases.
Read more on supply here: brainly.com/question/11898489
In the excel spreadsheet, the way for one to be able to calculate the highest sales based on the criteria entered in range G2:K3 is by:
- First select cell N3 and then click on the formula tab. Then also select insert function and then click on Database, select DAVERAGE. Use A2:E52 as range, then do type "highest sales" and G2:K3.
Highest Sales is a term that connote the highest from of Qualifying Revenue that is gotten in course of a given period of time (1 year).
In the excel spreadsheet, there are different kinds of shortcut that are often used to make the calculations of works to be very easy.
Thus, In the excel spreadsheet, the way for one to be able to calculate the highest sales based on the criteria entered in range G2:K3 is by:
- First select cell N3 and then click on the formula tab. Then also select insert function and then click on Database, select DAVERAGE. Use A2:E52 as range, then do type "highest sales" and G2:K3.
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The standard error of the difference of sample means is 0.444
From the complete question, we have the following parameters
<u>Canadians</u>
- Sample size = 50
- Mean = 4.6
- Standard deviation = 2.9
<u>Americans</u>
- Sample size = 60
- Mean = 5.2
- Standard deviation = 1.3
The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.
This is represented as:
The standard error of the Canadian sample is:
So, we have:
The standard error of the American sample is:
So, we have:
The standard error of the difference of sample means is then calculated as:
This gives
Take square roots
Hence, the standard error of the difference of sample means is 0.444
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