Question

Go through the information given below, and answer the questions that follow.

The table captures Age and Gender distribution of COVID positive cases in a country. However, a part of data is missing, represented through unknown categories.
Which of the following is true for “unknown gender Category”?
1. Unknown age group patients are less likely (percentage term) to provide information about gender than any other age category
2. Between 31 and 80, when age increases patients, in percentage terms, are less likely to provide information about gender
3. Elderly (81+) category patients are more likely to give information about gender than 0-18 age group

• A. 3 only
• B. 2 only
• C. 1 and 2
• D. 1 and 3
• E. 2 and 3

Answer 1

The Correct Option is A

To determine the correct statement regarding the unknown gender category from the table capturing the Age and Gender distribution of COVID positive cases, we examine the provided statements:

1. Unknown age group patients are less likely (percentage term) to provide information about gender than any other age category.
2. Between 31 and 80, when age increases patients, in percentage terms, are less likely to provide information about gender.
3. Elderly (81+) category patients are more likely to give information about gender than 0-18 age group.

To choose the correct statement(s), let's analyze them:

1. This statement cannot be verified without specific data showing the percentage of unknown gender in each age category including the unknown category.
2. Without detailed percentage data across the 31 to 80 age groups, the accuracy of this statement cannot be confirmed.
3. This statement suggests that the elderly (81+) provide gender information more frequently than the 0-18 age group. This implies a comparison of the known genders in both age groups and the probability described by the question.

The correct answer is 3 only, as it implies an observed comparison between the elderly (81+) and the 0-18 categories without needing specific percentage data on unknown genders.

We can fill the blanks of table by using the data in the table as below: