To properly assess the performance of the sales each month relative to the average sales of $12 million, we need to reference the variances provided.
- February sales: $12 million - $2.5 million = $9.5 million (Below average)
- March sales: Not provided directly; we will refer to it as an unknown.
- April sales: $12 million + $2.5 million = $14.5 million (Above average)
- May sales: $12 million - $1.6 million = $10.4 million (Below average)
- June sales: $12 million + 1.2 million = $13.2 million (Above average)
Now, let's compare:
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April sales (14.5 million) vs. other months:
- Higher than February (9.5 million), May (10.4 million), and March (unknown)
- Lower than June (13.2 million).
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May sales (10.4 million):
- Higher than February (9.5 million).
- Lower than April (14.5 million) and June (13.2 million), and March (unknown).
-
February sales (9.5 million):
- Lower than May (10.4 million) and March (unknown), but higher than April (14.5 million).
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March sales:
- Cannot be compared as we don't have a value.
-
June sales (13.2 million):
- Higher than February (9.5 million), May (10.4 million), and April (14.5 million), and possibly lower than March (unknown).
Using these comparisons:
- April sales are higher than May, February, and possibly March.
- May sales are higher than February but lower than April and June.
- February sales are lower than May and April but higher than the others (if March is lower).
- March's sales data is unknown.
- June sales are lower than April but higher than February and May.
If we denote the symbols for the comparisons provided for clarification:
- If we say ">" for greater than, and "<" for less than:
- April > June
- June > March (unknown)
- May > February
Given this structure, please clarify what specific comparisons you'd like to be confirmed with symbols, and I can assist in drafting that comparison!
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