I believe its yes. you can just look it up
Answer:
=DSUM(A4:D8, "Unit Cost", A1:B2)
Explanation:
From the list of given options, it's obvious that the question relates to Excel database sum function.
The correct answer among the list of options is:
=DSUM(A4:D8, "Unit Cost", A1:B2)
Where
DSUM represents the function itself
A4:D8 represents the range
"Unit cost" represents the field
and
A1:B2 represents the criteria of the function
Analysing other options:
Option 1: The equality sign (=) before excel formulas is missing
Option 2: Sum is used instead of DSUM and there's a missing bracket before the range
Option 3: There's a missing comma between the range, the field and the criteria
Hence, the last option (4) answers the question.
Answer:
Explanation:
First, represent the field for annual revenue with AnnualRevenue
From the question, we understand that this field must be greater than 1000000 before a certain action can be performed.
Base on the given condition, the formula that triggers this action is:
<em>Further explanation is in the attachment</em>
<em></em>
<em>From the attachment, we have that:</em>
If the condition is true, the checkbox be ticked
However, if the condition is false; the checkbox remain unchanged because no specific action is stated for this, in the question.
<em></em>
If an algorithm's resource consumption, often referred to as computational cost, is at or below a certain threshold, it is said to be efficient. Generally speaking, "acceptable" indicates that it will operate on a machine that is available in a fair amount of time or space, usually based on the size of the input.
<h3>Explain about the efficiency of an algorithm?</h3>
Growth requires an understanding of an algorithm's effectiveness. Programmers write code with the future in mind, and efficiency is essential to achieve this. Reducing the number of iterations required to finish your task in relation to the size of the dataset is the goal of efficient algorithm development.
The use of asymptotic analysis can frequently help to solve these issues. As the size of the input increases, asymptotic analysis quantifies an algorithm's effectiveness or the program that implements it.
To express how time-consuming a function is, we use a method called "Big O notation." We use the Big O notation, a language, to describe how time-consuming an algorithm is. It's how we assess the value of several approaches to an issue, and U supports our decision-making.
To learn more about efficiency of an algorithm refer to:
brainly.com/question/13801939
#SPJ4
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