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Identify the missing data
The image shows a grouped frequency distribution table and a histogram template for test scores. However, the raw data set of test scores is cropped out at the top of the image (only the numbers "80", "80", "90", "79" are partially visible).
Without the complete list of raw test scores, we cannot count the exact frequencies for each class interval:
- \(79 \text{ to } 83\)
- \(84 \text{ to } 88\)
- \(89 \text{ to } 93\)
- \(94 \text{ to } 98\)
Formulate the solution method
To complete part (a) and part (b) once the data is provided:
- Tally the data: Count how many test scores fall into each of the four class intervals.
- Fill the table: Enter the counted frequency for each interval into the table.
- Draw the histogram: Construct vertical bars for each interval on the graph, where the height of each bar corresponds to its frequency.
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The raw data set of test scores is cropped out at the top of the image, making it incomplete. To complete this problem:
- For part (a): Count how many scores from your data set fall into each interval, then enter those counts into the frequency column:
- 79 to 83: Count scores in this range.
- 84 to 88: Count scores in this range.
- 89 to 93: Count scores in this range.
- 94 to 98: Count scores in this range.
- For part (b): Draw a vertical bar for each interval on the graph up to the height of its counted frequency.