The Excel file contains sheets named q1, q2, q3, q4, Sheet1, and Sheet2. To compare the count of males to females, we need to identify which sheet contains this data. Since the preview provided earlier showed data from q1 with a count for males, we'll start by examining the q1 sheet to look for the relevant data.

The data in the q1 sheet provides the count for males and females:

This shows that there are significantly more females than males in the dataset.

The q2 sheet doesn't seem to contain information about hostel types for male and female students. It appears to contain age-related data instead. We need to check other sheets for the hostel type data.

The Sheet1 and Sheet2 contain information related to hostel types, indicating different hostel types like Acad MCS and Scientific MCS. To analyze the hostel type patterns among male and female students, we will need to examine these sheets further, specifically looking for any gender-related data that might be included.

To test the null hypothesis regarding the relationship between gender and cooking frequency, we'll need to perform a statistical test. A Chi-square test is suitable for this purpose as it can evaluate if there's a significant association between two categorical variables. We'll proceed by collecting data on cooking frequency for both genders, then perform the Chi-square test.

To perform the Chi-square test, we need the data that contains information on cooking frequency for both male and female students. Unfortunately, based on the current data loaded and explored, we don't have direct access to such specific information.

Could you specify which sheet or provide additional data that includes cooking frequency details for each gender?

Given the current data displayed, it seems there isn't a direct column labeled as cooking frequency or similar in Sheet1 and Sheet2. The columns are labeled with q1, q2, etc., without clear indications of what each question pertains to.

To proceed with extracting cooking frequency data for male and female students, we need more specific information about which question (e.g., q5, q6) corresponds to cooking frequency. Without this information, we're unable to accurately extract and analyze the desired data.

Could you specify the question number that corresponds to cooking frequency?

The Chi-square test results indicate a statistically significant relationship between gender and cooking frequency, with a p-value of 0.0000. This suggests we reject the null hypothesis, indicating there is a significant association between gender and how often students cook.

You can download the analysis results on the relationship between gender and cooking frequency using the link below:

You can download the analysis results on the relationship between gender and cooking frequency using the link below: