Calculate the average salaries for each of the blood types in your data set. What is the percent difference in salary of those with blood type O+ compared to those with blood type AB-?

Round your answer to two decimal places.

Enter 12.34% as 12.34.

Question

Calculate the average salaries for each of the blood types in your data set. What is the percent difference in salary of those with blood type O+ compared to those with blood type AB-?

Round your answer to two decimal places.

Enter 12.34% as 12.34.

BlackTom AI · Accepted Answer

To tackle this question, we need to perform a small data analysis pipeline on the provided dataset.

First, restate what is being asked: we must calculate the average salaries for each blood type present in the data, and then determine the percent difference in salary between those with blood type O+ and those with blood type AB-, rounding the final percent to two decimals (e.g., 12.34%).

Because the actual data values are not shown here, I can’t compute numeric averages or a numeric percent difference yet. With access to the dataset, here is a clear procedure to follow:

- Step 1: Group salaries by blood type. For every record in the dataset, assign the salary value to a bucket corresponding to the record’s blood type (e.g., O+, O-, AB+, AB-, A+, A-, B+, B-).
- Step 2: Compute the average salary for each blood type group. For a given blood type, sum all salaries in that group and divide by the number of records in that group.
- Step 3: Identify the two target averages: Avg_Oplus and Avg_ABminus. These are the mean salaries for blood types O+ and AB-, respectively.
- Step 4: Calculate the percent difference between O+ and AB-. The conventional interpretation is:
  - If you want the percent difference relative to AB-: PercentDifference = ((Avg_Oplus - Avg_ABminus) / Avg_ABminus) * 100.
  - If you instead want the absolute percent difference relative to AB- magnitude, you could use the absolute value: PercentDifference = |Avg_Oplus - Avg_ABminus| / Avg_ABminus * 100. Depending on your classroom or project convention, choose the appropriate formula. The result is expressed as a percentage.
- Step 5: Round the resulting percentage to two decimal places. For example, if the calculation yields 12.3456%, you would present 12.35%; if it yields -8.846%, you would present -8.85%.

Next, regarding the provided answer value of -8.85: without the actual averages Avg_Oplus and Avg_ABminus, I cannot confirm whether this is correct. A negative percent difference indicates Avg_Oplus < Avg_ABminus under the chosen formula (likely (Avg_Oplus - Avg_ABminus) / Avg_ABminus * 100). If your convention uses the absolute difference, the result would be a nonnegative percentage.

Important considerations:
- Ensure the dataset does not have missing salaries for either blood type; if there are missing values, decide how to handle them (e.g., exclude those records from the respective group).
- Confirm the exact definition of percent difference your instructor or tool expects (relative to AB- as the denominator, or an absolute difference). This will affect the sign and magnitude.
- After performing the calculations, present two values: the per-blood-type averages (not strictly required by the prompt, but often useful) and the final percent difference between O+ and AB- rounded to two decimals.

In the absence of the data, the key steps are laid out above. Once you can share or access the dataset, I can walk through the calculations with the actual numbers and confirm the final rounded result.

BUSI_V 335 972 2025SS BUSI 335 Midterm 2 2025 S2

Calculate the average salaries for each of the blood types in your data set. What is the percent difference in salary of those with blood type O+ compared to those with blood type AB-? Round your answer to two decimal places. Enter 12.34% as 12.34.

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