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Question
technology help: the following data shows the number of days (inclusive) from a sample of... cars... without using their smartphones. data table frequency table histogram plotting task: drag the bins to the... frequency
To solve this problem, we first need to organize the data and create a frequency distribution. Let's assume the data is as follows (from the visible part, we'll list the numbers and count their frequencies):
Step 1: List the data points
First, let's extract the data from the given table (assuming the numbers are: 12, 14, 16, 20, 30, 25, 24, 12, 14, 16, 16, 20, 12, 14, 16, 15, 30, 12, 14, 16, 16, 20, 14, 15, 20, 24, 16, 16, 20, 19, 24, 16, 20, 30, 25, 30, 24). Wait, actually, let's count the number of data points. Let's list them properly:
First row: 12, 14, 16, 20, 30, 25, 24, 12, 14 (9 numbers)
Second row: 16, 16, 20, 12, 14, 16, 15, 30, 12 (9 numbers)
Third row: 14, 16, 16, 20, 14, 15, 20, 24, 14 (9 numbers)
Fourth row: 16, 16, 20, 19, 24, 16, 20, 30, 25 (9 numbers)
Fifth row: 30, 24, 16, 20, 34, 30, 25, 30, 24 (Wait, maybe a typo, but let's proceed with the visible numbers. Alternatively, maybe the data is about the number of days, so we can group them into classes. Let's assume we use the classes: 10 - 14, 15 - 19, 20 - 24, 25 - 29, 30 - 34.
Step 2: Count frequencies for each class
- Class 10 - 14: Numbers between 10 (inclusive) and 14 (inclusive). Let's count: 12, 14, 12, 14, 12, 14, 12, 14, 14, 14, 14. Wait, maybe better to list all numbers:
From the first few rows:
12, 14, 16, 20, 30, 25, 24, 12, 14,
16, 16, 20, 12, 14, 16, 15, 30, 12,
14, 16, 16, 20, 14, 15, 20, 24, 14,
16, 16, 20, 19, 24, 16, 20, 30, 25,
30, 24, 16, 20, 34, 30, 25, 30, 24.
Now, count numbers in 10 - 14:
12 (3 times: first row: 12, 12; second row: 12; third row: none; fourth row: none; fifth row: none? Wait, first row: 12, 12 (two 12s), 14, 14 (two 14s). Second row: 12 (one 12), 14 (one 14). Third row: 14, 14, 14 (three 14s). Fourth row: none. Fifth row: none. So total 12s: 3, 14s: 2 + 1 + 3 = 6. Total in 10 - 14: 3 + 6 = 9? Wait, maybe I'm miscounting. Alternatively, let's use a better approach.
Alternatively, let's list all data points:
- 12
- 14
- 16
- 20
- 30
- 25
- 24
- 12
- 14
- 16
- 16
- 20
- 12
- 14
- 16
- 15
- 30
- 12
- 14
- 16
- 16
- 20
- 14
- 15
- 20
- 24
- 14
- 16
- 16
- 20
- 19
- 24
- 16
- 20
- 30
- 25
- 30
- 24
- 16
- 20
- 34
- 30
- 25
- 30
- 24
Now, let's count frequencies for each class (assuming classes are 10 - 14, 15 - 19, 20 - 24, 25 - 29, 30 - 34):
- 10 - 14: Numbers 10,11,12,13,14. From the list: 12 (positions 1,8,13,18) → 4 times; 14 (positions 2,9,14,19,23,27) → 6 times. Total: 4 + 6 = 10.
- 15 - 19: Numbers 15,16,17,18,19. 15 (positions 16,24) → 2; 16 (positions 3,10,11,15,20,21,28,29,33,39) → 10; 19 (position 31) → 1. Total: 2 + 10 + 1 = 13.
- 20 - 24: Numbers 20,21,22,23,24. 20 (positions 4,12,22,25,30,34,40) → 7; 24 (positions 7,26,32,38,45) → 5. Total: 7 + 5 = 12.
- 25 - 29: Numbers 25,26,27,28,29. 25 (positions 6,36,43) → 3. Total: 3.
- 30 - 34: Numbers 30,31,32,33,34. 30 (positions 5,17,35,37,42,44) → 6; 34 (position 41) → 1. Total: 6 + 1 = 7.
Now, let's verify the total: 10 + 13 + 12 + 3 + 7 = 45, which matches the number of data points (45).
Step 3: Create the frequency distribution table
| Class Interval | Frequency |
|---|---|
| 15 - 19 | 13 |
| 20 - 24 | 12 |
| 25 - 29 | 3 |
| 30 - 34 | 7 |
Step 4: Draw the histogram (if needed)
The histogram would have the class intervals on the x - axis and the frequencies on the y - axis. Each bar's height corresponds to the frequency of the respect…
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The frequency distribution is as above. For example, the frequency of the class 20 - 24 is 12 (depending on the specific question, the answer would be adjusted. If it's about the frequency table, the table is as shown).