Height ( inches) weight ( pounds)

1. 65.78331 112.9925
2. 71.51521 136.4873
3. 69.39874 153.0269
4. 68.2166 142.3354
5. 67.78781 144.2971
6. 68.69784 123.3024
7. 69.80204 141.4947
8. 70.01472 136.4623
9. 67.90265 112.3723
10. 66.78236 120.6672
11. 66.48769 127.4516
12. 67.62333 114.143
13. 68.30248 125.6107
14. 67.11656 122.4618
15. 68.27967 116.0866
16. 71.0916 139.9975
17. 66.461 129.5023
18. 68.64927 142.9733
19. 71.23033 137.9025
20. 67.13118 124.0449
21. 67.83379 141.2807
22. 68.87881 143.5392
23. 63.48115 97.90191
24. 68.42187 129.5027
25. 67.62804 141.8501
26. 67.20864 129.7244
27. 70.84235 142.4235
28. 67.49434 131.5502
29. 66.53401 108.3324
30. 65.44098 113.8922

Collect a set of data with at least 30 data points.The data should be quantitative which mean that it should be measured using numbers.You can be creative as you'd like, but here are some suggestions for things that you can survey:

Make a visual representation of your data. First Make a frequency distribution with three columns.The three columns should be the intervals, the midpoints, and the frequencies for each class. Make a histogram with 5 classes using the frequency distribution.Make sure to label the axes with appropriate titles and axes labels and incorporate the appropriate scale on each axis. Also, Make a box plot.

I decided to use peoples heights in inches.