https://file.aiquickdraw.com/mathbot/file/1729740005249un3epnro.jpg

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Based on the image provided, it appears to contain a dataset and several questions related to frequency distribution. The data provided includes body weights in kilograms, and the tasks are focused on statistical analysis using frequency distribution techniques.

Here’s a breakdown of the tasks:

### Given Data (Body Weights in kg):
```
85, 87, 68, 86, 83, 90, 74, 89, 75, 61
85, 87, 68, 86, 83, 90, 74, 89, 75, 69
64, 89, 77, 68, 90, 79, 75, 75, 70, 73
90, 74, 73, 68, 86, 80, 75, 70, 71, 88, 70
```

### Tasks:
1. **Create a frequency distribution table with equal class intervals.**
2. **Construct a cumulative frequency table for the "less than" method.**
3. **Create a frequency table for the "at least" method.**
4. **Build a relative frequency distribution table.**
5. **Develop a relative cumulative frequency table ("less than" method).**
6. **Build a relative frequency table for the "at least" method.**
7. **Plot a histogram and a frequency polygon** (using either midpoints or lower class boundaries).

Let me proceed with these tasks systematically, starting from the first task. I will compute the data analysis and provide the necessary tables.

Would you like to proceed step-by-step, or should I provide all the answers together?

Diketahui data berat badan sebagai berikut (dalam kg):
85, 87, 68, 86, 83, 90, 74, 89, 75, 61
85, 87, 68, 86, 83, 90, 74, 89, 75, 69
64, 89, 77, 68, 90, 79, 75, 75, 70, 73
90, 74, 73, 68, 86, 80, 75, 70, 71, 88, 70
1. Susunlah data tersebut ke dalam tabel distribusi frekuensi dengan panjang kelas yang sama.
2. Buat tabel distribusi frekuensi kumulatif 'kurang dari'.
3. Buat tabel distribusi frekuensi 'atau lebih'.
4. Buat tabel distribusi frekuensi relatif.
5. Buat tabel distribusi frekuensi relatif 'kurang dari'.
6. Buat tabel distribusi frekuensi relatif 'atau lebih'.
7. Gambarkan histogram dan poligon frekuensi (gunakan salah satu cara saja: menggunakan titik tengah atau batas bawah).

Learn how to create frequency distribution tables, cumulative frequency tables, relative frequency tables, and visual representations like histograms and frequency polygons using weight data in kilograms. This problem is ideal for Grades 10-12 students.

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