https://r2.erweima.ai/mathbot/image/1726178807130uzcvo6mo.pdf

The document you uploaded includes an activity sheet titled "Actividad 1.4" for a course in Probability and Statistics. Here’s a summary of the tasks:

### Activity Overview:
- **Topic**: Skewness, Kurtosis, Outliers, and Box Plots.
- **Instructions**:
  - Justify all answers with procedures applied.
  - Work in groups of up to 5 students.
  - Present a physical document with a cover page including student names and codes.
  - All questions carry equal weight.

### Exercises:

1. **Exercise 1**:
   - a) Construct a histogram and a frequency polygon for the provided data.
   - b) Determine Fisher’s coefficient of skewness, the kurtosis coefficient, and provide conclusions for each.
   - c) Create a box plot for the data and check if there are any outliers.
   
2. **Exercise 2-5**: The details for these exercises are not fully visible in the provided content, but similar statistical tasks may follow.

Would you like assistance with any specific question from the activity, or details on how to tackle histograms, skewness, kurtosis, or box plots?

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### Related Questions:
1. How do you construct a histogram from raw data?
2. What is Fisher's coefficient of skewness, and how is it calculated?
3. What conclusions can be drawn from the kurtosis of a dataset?
4. How can you identify outliers using a box plot?
5. How are frequency polygons related to histograms?

**Tip**: When creating a box plot, the "whiskers" help in spotting outliers, which are any points that fall outside 1.5 times the interquartile range (IQR) from the quartiles.

The document uploaded includes an activity sheet titled 'Actividad 1.4' for a course in Probability and Statistics. The tasks involve constructing histograms, frequency polygons, calculating Fisher’s coefficient of skewness, kurtosis, and identifying outliers using box plots.

Explore how to construct histograms, calculate Fisher's coefficient of skewness, kurtosis, and identify outliers using box plots in this Probability and Statistics activity. Suitable for undergraduate students.

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