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The image appears to contain a statistical problem involving a hypothesis test. The table seems to provide data for different categories, such as "Sangat puas," "Puas," and so on, with corresponding frequencies. 

Given that the problem mentions \( \alpha = 0.05 \) and likely involves comparing groups, this appears to be a Chi-square test for independence or a test for goodness of fit.

### Here's a step-by-step guide to solving this type of problem:

1. **Set up the Hypotheses:**
   - **Null Hypothesis \( H_0 \):** There is no significant difference between the observed and expected frequencies (independence or the distribution fits the expected distribution).
   - **Alternative Hypothesis \( H_a \):** There is a significant difference between the observed and expected frequencies.

2. **Calculate the Expected Frequencies:**
   - The expected frequency for each cell is calculated as:
     \[
     E_{ij} = \frac{(Row\ Total) \times (Column\ Total)}{Grand\ Total}
     \]

3. **Compute the Chi-square Statistic:**
   - The formula for the Chi-square statistic is:
     \[
     \chi^2 = \sum \frac{(O_{ij} - E_{ij})^2}{E_{ij}}
     \]
     where \( O_{ij} \) is the observed frequency and \( E_{ij} \) is the expected frequency.

4. **Determine the Degrees of Freedom:**
   - The degrees of freedom \( df \) is calculated by:
     \[
     df = (r - 1) \times (c - 1)
     \]
     where \( r \) is the number of rows and \( c \) is the number of columns.

5. **Compare the Chi-square Statistic to the Critical Value:**
   - Using the \( \alpha \) level of 0.05, check the critical value from the Chi-square distribution table corresponding to the calculated degrees of freedom.
   - If \( \chi^2 \) is greater than the critical value, reject the null hypothesis.

6. **Conclusion:**
   - Based on the comparison, you will either reject or fail to reject the null hypothesis, concluding whether there is a significant difference or not.

### Next Steps:
- If you would like, I can walk you through calculating the expected frequencies and Chi-square statistic in more detail. Please confirm if you'd like to proceed, and if there are any specific parts of the calculation you'd like to focus on.

Learn how to solve a statistical hypothesis testing problem using the Chi-square test. This problem involves analyzing data categories like "Sangat puas," "Puas," and others with corresponding frequencies. Includes step-by-step calculation of expected frequencies and Chi-square statistic with an alpha level of 0.05.

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