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Sagot :
Certainly! Let's break down the solution step by step.
### Step 1: Create a Frequency Distribution Table
We have the following weight ranges and the number of people in each range:
| Weight (in kg) | Number of People |
|----------------|------------------|
| 45-50 | 7 |
| 50-55 | 9 |
| 55-60 | 10 |
| 60-65 | 16 |
| 65-70 | 8 |
### Step 2: Determine the Total Number of People
From the table, we sum the number of people:
[tex]\[ 7 + 9 + 10 + 16 + 8 = 50 \][/tex]
Hence, the total number of people is 50.
### Step 3: Calculate the Percentage of People in Each Weight Range
Next, we calculate the percentage of people within each weight range:
- For 45-50 kg:
[tex]\[ \left( \frac{7}{50} \right) \times 100\% = 14\% \][/tex]
- For 50-55 kg:
[tex]\[ \left( \frac{9}{50} \right) \times 100\% = 18\% \][/tex]
- For 55-60 kg:
[tex]\[ \left( \frac{10}{50} \right) \times 100\% = 20\% \][/tex]
- For 60-65 kg:
[tex]\[ \left( \frac{16}{50} \right) \times 100\% = 32\% \][/tex]
- For 65-70 kg:
[tex]\[ \left( \frac{8}{50} \right) \times 100\% = 16\% \][/tex]
### Step 4: Represent the Data in the Form of a Histogram
We now represent this data in a histogram format. A histogram is a type of bar graph where the X-axis represents the weight ranges, and the Y-axis represents the number of people.
```
Number of People
^
| ________
| | |
| | |
| | | ________
| | | | |
| ________ | | | |
| | || | ________ | |
| | || || | | |
| | || || || | ________
| | || _______|| || _______|| _______ |
| | ||| || ||| ||| | |
| | _______||| || _______||| ||| | |
| || ||| ||| ||| ||| | |
| || ||| ||| ||| ||| | |
| || ||| ||| ||| ||| | |
+-------------------------------------------------------------> Weight (in kg)
45-50 50-55 55-60 60-65 65-70
```
Each bar represents the number of people in the corresponding weight range. The height of each bar is proportional to the frequency of people within that range.
In conclusion:
1. The frequency distribution table is shown in Step 1.
2. The histogram represents the number of people across different weight ranges as shown in Step 4.
### Step 1: Create a Frequency Distribution Table
We have the following weight ranges and the number of people in each range:
| Weight (in kg) | Number of People |
|----------------|------------------|
| 45-50 | 7 |
| 50-55 | 9 |
| 55-60 | 10 |
| 60-65 | 16 |
| 65-70 | 8 |
### Step 2: Determine the Total Number of People
From the table, we sum the number of people:
[tex]\[ 7 + 9 + 10 + 16 + 8 = 50 \][/tex]
Hence, the total number of people is 50.
### Step 3: Calculate the Percentage of People in Each Weight Range
Next, we calculate the percentage of people within each weight range:
- For 45-50 kg:
[tex]\[ \left( \frac{7}{50} \right) \times 100\% = 14\% \][/tex]
- For 50-55 kg:
[tex]\[ \left( \frac{9}{50} \right) \times 100\% = 18\% \][/tex]
- For 55-60 kg:
[tex]\[ \left( \frac{10}{50} \right) \times 100\% = 20\% \][/tex]
- For 60-65 kg:
[tex]\[ \left( \frac{16}{50} \right) \times 100\% = 32\% \][/tex]
- For 65-70 kg:
[tex]\[ \left( \frac{8}{50} \right) \times 100\% = 16\% \][/tex]
### Step 4: Represent the Data in the Form of a Histogram
We now represent this data in a histogram format. A histogram is a type of bar graph where the X-axis represents the weight ranges, and the Y-axis represents the number of people.
```
Number of People
^
| ________
| | |
| | |
| | | ________
| | | | |
| ________ | | | |
| | || | ________ | |
| | || || | | |
| | || || || | ________
| | || _______|| || _______|| _______ |
| | ||| || ||| ||| | |
| | _______||| || _______||| ||| | |
| || ||| ||| ||| ||| | |
| || ||| ||| ||| ||| | |
| || ||| ||| ||| ||| | |
+-------------------------------------------------------------> Weight (in kg)
45-50 50-55 55-60 60-65 65-70
```
Each bar represents the number of people in the corresponding weight range. The height of each bar is proportional to the frequency of people within that range.
In conclusion:
1. The frequency distribution table is shown in Step 1.
2. The histogram represents the number of people across different weight ranges as shown in Step 4.
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