We cannot analyze fee payers by age group as the dataset does not contain any direct information on ages.
For exploring fee payment trends, we've extracted the academic year and payment status from the dataset and prepared it for further analysis.
analyze the gender distribution of fee payers
The dataset does not contain direct information on ages, preventing analysis of fee payers by age group.
For fee payment trends, academic year and payment status were extracted for further analysis, but specific trends were not yet analyzed.
The gender distribution of fee payers is as follows:
Female: 176
Male: 82
is there any significant association between gender and time of payment of school fees
All fee payments in the dataset are marked as 'PAID', so we cannot analyze the time of payment directly.
Without specific time or date information regarding when payments were made, we can't assess any association between gender and time of payment of school fees.
Investigate fee payment trends further
To investigate fee payment trends further, we'll analyze the distribution of payments across different academic years. This will help us understand if there's any noticeable trend in fee payments over time. Let's proceed with this analysis.
The dataset only contains fee payments for the academic year 2022-2023, with a total of 258 payments recorded.
Without data from previous years, we cannot identify a trend in fee payments over time.
All fee payments in the dataset are marked as 'PAID', limiting the analysis of payment timing or association with gender.
The gender distribution among fee payers is predominantly female (176) compared to male (82).
calculate the mean of the distribution of fee payers by gender
The mean of the distribution of fee payers by gender is 129. This indicates that, on average, there are 129 fee payers per gender category in the dataset.