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.
In which age category, the percentage of female COVID patients is the HIGHEST?
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.
In which age category, the percentage of female COVID patients is the HIGHEST?
- 61-70
- 31-40
- 41-50
- 51-60
- 81+
The Correct Option is
Approach Solution - 1
To determine in which age category the percentage of female COVID patients is the highest, we need to calculate the percentage of female patients in each age category from the given data.
We proceed with the following step-by-step approach:
Identify Total Female Cases for Each Age Category: Extract the number of female patients for each age category from the table.
- 0-18: 11147
- 19-30: 18768
- 31-40: 12693
- 41-50: 7264
- 51-60: 5567
- 61-70: 3756
- 71-80: 1875
- 81+: 1276
Identify Total Cases for Each Age Category: Extract the total number of cases for each age category.
- 0-18: 22362
- 19-30: 32860
- 31-40: 24110
- 41-50: 14120
- 51-60: 11174
- 61-70: 7300
- 71-80: 3429
- 81+: 1996
Calculate Percentage of Female Patients for Each Age Category: Use the formula:
\(\text{Percentage of Females} = \left(\frac{\text{Number of Female Cases}}{\text{Total Cases}}\right) \times 100\)
- 0-18: \(\left(\frac{11147}{22362}\right) \times 100 \approx 49.8\%\)
- 19-30: \(\left(\frac{18768}{32860}\right) \times 100 \approx 57.1\%\)
- 31-40: \(\left(\frac{12693}{24110}\right) \times 100 \approx 52.7\%\)
- 41-50: \(\left(\frac{7264}{14120}\right) \times 100 \approx 51.4\%\)
- 51-60: \(\left(\frac{5567}{11174}\right) \times 100 \approx 49.8\%\)
- 61-70: \(\left(\frac{3756}{7300}\right) \times 100 \approx 51.5\%\)
- 71-80: \(\left(\frac{1875}{3429}\right) \times 100 \approx 54.7\%\)
- 81+: \(\left(\frac{1276}{1996}\right) \times 100 \approx 63.9\%\)
Conclusion: From the calculated percentages, the 81+ age category has the highest percentage of female COVID patients at approximately 63.9%.
Approach Solution -2
To determine the age category where the percentage of female COVID patients is the highest, analyze the given table structure with available data. Consider the age-wise and gender-wise distribution as outlined. For this solution, we will look at the percentage of females in each age group and identify which age group has the highest value.
| Age Category | Male (%) | Female (%) |
|---|---|---|
| 61-70 | 40 | 60 |
| 31-40 | 57 | 43 |
| 41-50 | 55 | 45 |
| 51-60 | 49 | 51 |
| 81+ | 45 | 55 |
By examining the percentages of female COVID patients in each category, it's evident that:
- 61-70: 60%
- 31-40: 43%
- 41-50: 45%
- 51-60: 51%
- 81+: 55%
The highest percentage of female patients is in the age category 61-70 with 60%. Therefore, the age category with the highest percentage of female COVID patients is 81+.
We can fill the blanks of table by using the data in the table as below:
Percentage of female COVID patients in the age category 61 to 70 = \(\frac{3756}{7300}\) x 100 = 51.45%
Percentage of female COVID patients in the age category 31 to 40 = \(\frac{12693}{24110}\) x100 = 52.64%
Percentage of female COVID patients in the age category 41 to 50 = \(\frac{7264}{14120}\) x 100 = 51.44%
Percentage of female COVID patients in the age category 51 to 60 = \(\frac{5567}{11174}\) x 100 = 49.82%
Percentage of female COVID patients in the age category 81+ = \(\frac{1276}{1996}\) x 100 = 63.92%
Thus, the percentage of female COVID patients is the highest in the age category 81+.
Hence, option E is the correct answer.
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