Values	Frequency
0_to_under_2	16
2_to_under_4	17
4_to_under_6	35
6_to_under_8	68

This data represents a frequency distribution where certain ranges of values correspond to specific frequencies. Here's how we can interpret it:

| **Values (Range)**    | **Frequency** |
|-----------------------|---------------|
| 0 to under 2          | 16            |
| 2 to under 4          | 17            |
| 4 to under 6          | 35            |
| 6 to under 8          | 68            |

### Key points to note:
1. **Total frequency**: The sum of all the frequencies is \( 16 + 17 + 35 + 68 = 136 \).
2. **Mode**: The range with the highest frequency is \( 6 \text{ to under } 8 \), with a frequency of 68.
3. **Median**: To calculate the median, we need to find the cumulative frequencies and determine where the midpoint falls. 
4. **Mean**: To calculate the mean, we would need to assign a representative value for each range, often the midpoint, then multiply by the frequencies and divide by the total frequency.
5. **Histogram**: This data can be visualized with a histogram, showing the frequencies for each range of values.

Would you like further details on any of these analyses, or have any specific questions?

### Related questions:
1. How do we calculate the median for this grouped data?
2. What is the mean of the given data set?
3. How can we calculate the variance and standard deviation for this data?
4. What type of skewness does this frequency distribution suggest?
5. How do we construct a histogram based on this data?

### Tip:
When calculating the mean for grouped data, using the midpoint of each range provides a more accurate estimate than using the boundaries.

Values    Frequency
0_to_under_2    16
2_to_under_4    17
4_to_under_6    35
6_to_under_8    68

Analyze a frequency distribution with ranges from 0 to 8 and corresponding frequencies. Learn how to calculate the mode, median, mean, and visualize the data using a histogram. This guide provides a step-by-step breakdown for students in Grades 6-9.

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