Weights of 67 college students in kilograms in September of freshman year are provided in the accompanying data set. Construct a frequency distribution. Begin with a lower class limit of 40 kg and use a class width of 10 kg. Does the distribution appear to be a normal distribution? 

To construct a frequency distribution, we'll need to organize the data into classes and count the number of data points (students) that fall within each class. Let's begin with the steps:

### 1. Define the Classes:
- **Lower Class Limit:** 40 kg
- **Class Width:** 10 kg
- **Classes:** We will create the intervals based on these parameters.

### 2. Create the Class Intervals:
The class intervals would be:
- 40 - 49 kg
- 50 - 59 kg
- 60 - 69 kg
- 70 - 79 kg
- 80 - 89 kg
- 90 - 99 kg
- 100 - 109 kg

### 3. Tally the Frequencies:
For each class interval, count the number of students whose weights fall within that interval. This will give us the frequency for each class.

### 4. Analyze the Distribution:
Once we have the frequency distribution, we can determine whether it appears to be a normal distribution.

If you have the specific data set available (weights of the 67 college students), you can share it with me, and I'll construct the frequency distribution for you. If not, I can guide you on how to manually count and tally the frequencies.

Would you like to provide the data, or should I explain the steps in more detail?

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**5 Relative Questions:**
1. What does a normal distribution typically look like in a frequency distribution?
2. How would outliers in the data set affect the distribution shape?
3. How can we determine the skewness of a distribution?
4. What other methods can be used to analyze the distribution of data?
5. How would you interpret the shape of a distribution in real-world data?

**Tip:** Always double-check the class intervals and boundaries to ensure no overlap or gaps when constructing a frequency distribution.

Weights of 67 college students in kilograms in September of freshman year are provided in the accompanying data set. Construct a frequency distribution. Begin with a lower class limit of 40 kg and use a class width of 10 kg. Does the distribution appear to be a normal distribution?

Learn how to construct a frequency distribution for the weights of 67 college students with a lower class limit of 40 kg and a class width of 10 kg. Explore whether the data follows a normal distribution and understand key concepts like class intervals and the Empirical Rule.

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