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Answer :
Alright, let's solve the problem step-by-step.
### Step 1: Organize the Data and Determine Frequency
We need to find out how many weights fall into each of the given intervals:
1. [tex]\( 51-100 \)[/tex]
2. [tex]\( 101-150 \)[/tex]
3. [tex]\( 151-200 \)[/tex]
4. [tex]\( 201-250 \)[/tex]
Let's count the numbers in each interval:
#### Interval [tex]\( 51-100 \)[/tex]:
- Weights: 100, 98, 100, 98, 100, 99, 100
- Count: 7
#### Interval [tex]\( 101-150 \)[/tex]:
- Weights: 106, 104, 112, 116, 142, 135
- Count: 6
#### Interval [tex]\( 151-200 \)[/tex]:
- Weights: 195, 195, 195, 168, 180, 195, 195, 195, 160, 155
- Count: 10
#### Interval [tex]\( 201-250 \)[/tex]:
- Weights: 206, 210, 212, 216, 209, 206
- Count: 6
### Step 2: Complete the Cumulative Frequency Table
Construct the cumulative frequency by summing up the frequencies from each interval progressively:
| Interval | Frequency | Cumulative Frequency |
|------------|-----------|----------------------|
| 51-100 | 7 | 7 |
| 101-150 | 6 | 7 + 6 = 13 |
| 151-200 | 10 | 13 + 10 = 23 |
| 201-250 | 6 | 23 + 6 = 29 |
The Cumulative Frequency Table is as follows:
| Interval | Frequency | Cumulative Frequency |
|------------|-----------|----------------------|
| 51-100 | 7 | 7 |
| 101-150 | 6 | 13 |
| 151-200 | 10 | 23 |
| 201-250 | 6 | 29 |
### Step 3: Construct the Histogram
To plot a cumulative frequency histogram, follow these steps:
1. Label your x-axis with the intervals.
2. Label your y-axis with the cumulative frequency values.
3. Draw a bar for each interval up to the cumulative frequency value.
The plot would look something like this:
```
| x
| xx
| x xxx
| xx xxx
| x xx xxx
| xx xx xxx
| x xx xx xxx
| xx xx xx xxx
|_______xx____xx____xx___xxx_______
51-100 101-150 151-200 201-250
```
Each bar's height is the cumulative frequency for its respective interval.
That completes our solution and histogram construction!
### Step 1: Organize the Data and Determine Frequency
We need to find out how many weights fall into each of the given intervals:
1. [tex]\( 51-100 \)[/tex]
2. [tex]\( 101-150 \)[/tex]
3. [tex]\( 151-200 \)[/tex]
4. [tex]\( 201-250 \)[/tex]
Let's count the numbers in each interval:
#### Interval [tex]\( 51-100 \)[/tex]:
- Weights: 100, 98, 100, 98, 100, 99, 100
- Count: 7
#### Interval [tex]\( 101-150 \)[/tex]:
- Weights: 106, 104, 112, 116, 142, 135
- Count: 6
#### Interval [tex]\( 151-200 \)[/tex]:
- Weights: 195, 195, 195, 168, 180, 195, 195, 195, 160, 155
- Count: 10
#### Interval [tex]\( 201-250 \)[/tex]:
- Weights: 206, 210, 212, 216, 209, 206
- Count: 6
### Step 2: Complete the Cumulative Frequency Table
Construct the cumulative frequency by summing up the frequencies from each interval progressively:
| Interval | Frequency | Cumulative Frequency |
|------------|-----------|----------------------|
| 51-100 | 7 | 7 |
| 101-150 | 6 | 7 + 6 = 13 |
| 151-200 | 10 | 13 + 10 = 23 |
| 201-250 | 6 | 23 + 6 = 29 |
The Cumulative Frequency Table is as follows:
| Interval | Frequency | Cumulative Frequency |
|------------|-----------|----------------------|
| 51-100 | 7 | 7 |
| 101-150 | 6 | 13 |
| 151-200 | 10 | 23 |
| 201-250 | 6 | 29 |
### Step 3: Construct the Histogram
To plot a cumulative frequency histogram, follow these steps:
1. Label your x-axis with the intervals.
2. Label your y-axis with the cumulative frequency values.
3. Draw a bar for each interval up to the cumulative frequency value.
The plot would look something like this:
```
| x
| xx
| x xxx
| xx xxx
| x xx xxx
| xx xx xxx
| x xx xx xxx
| xx xx xx xxx
|_______xx____xx____xx___xxx_______
51-100 101-150 151-200 201-250
```
Each bar's height is the cumulative frequency for its respective interval.
That completes our solution and histogram construction!
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