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The image you uploaded is written in Indonesian and seems to involve hypothesis testing related to a survey on students across different academic programs.

The main part of the problem involves a table of dataThe image you uploaded is written in Indonesian and seems to involve hypothesis testing related to a survey on students across different academic programs.

The main part of the problem involves a table of 

**Subjects:**
- The table shows the number of students who passed or failed the UAS (Ujian Akhir Semester) across different academic programs.

Here are the categories of students:
1. **Prodi S1 Akuntansi** (Accounting undergraduate program)
2. **Prodi S1 Manajemen** (Management undergraduate program)
3. **Prodi D3 Akuntansi** (Accounting diploma program)
4. **Prodi D3 Perdagangan** (Diploma in Commerce program)

**Table Data:**
- There are columns for "Lulus" (Passed) and "Tidak Lulus" (Did Not Pass).
- The values represent the number of students in each category who passed or failed.

Next, the text mentions the usage of a **significance level (α) of 5%** to conduct a **hypothesis test**. It asks for the determination of whether there is a significant difference in pass rates across these academic programs.

This suggests that the task is likely a **Chi-Square Test for Independence** or a similar statistical test to determine if the success rates (passing vs. failing) are dependent on the academic program.

Would you like me to solve this by applying the Chi-Square test, or do you prefer a different statistical approach? Please confirm.

Learn how to solve a hypothesis testing problem involving Chi-Square Test in statistics. The problem involves determining if there is a significant difference in pass rates across different academic programs using a significance level of 5%. Suitable for advanced high school students or undergraduate students.

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