To construct the histogram with 10 classes, we can use the digits from 0 to 9, since we are interested in the last digits of the heights in centimeters. The data given consists of the last digits of heights as follows:
- 0: 10 occurrences
- 1: 2 occurrences
- 2: 1 occurrence
- 3: 3 occurrences
- 4: 1 occurrence
- 5: 10 occurrences
- 6: 2 occurrences
- 7: 0 occurrences
- 8: 3 occurrences
- 9: 1 occurrence
Now, we can summarize this data in terms of a table with the digits (0 to 9) and the corresponding frequency:
| Digit | Frequency | |-------|-----------| | 0 | 10 | | 1 | 2 | | 2 | 1 | | 3 | 3 | | 4 | 1 | | 5 | 10 | | 6 | 2 | | 7 | 0 | | 8 | 3 | | 9 | 1 |
To visualize this, the histogram would show a clear peak at 0 and 5, indicating higher frequencies for those last digits compared to the others.
Conclusion from the distribution
Looking at the frequency of the last digits, option a is indeed a valid conclusion. The digits of 0 and 5 occur disproportionately more often than the others, indicating a potential bias in the reporting of the heights, as certain digits are favored:
a. The digits of 0 and 5 occur disproportionately more often than the others; the heights could have been reported.
Thus, the most suitable answer is a.