# data[].attributes.body
1. 15 students

2. 20 students

3. we are not agree, because 15 students got 10-20 and its there is not a chance if all the 15 students scored between 10 and 14.

4. no, because it can fully show the continous data.

# data[].attributes.body
1. 15 students

2. 20 students

3. No, since we can't tell exactly that all 15 students got scores of 10 to 14

4. The diagram only showed the range and not the fixed data

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Vigos therouw

1.sin(90°) x 15

2.√400

3.no because its showing the range of data and it isnt exact if we take smaller part of it

but yes if you ask febrian...

4.because its hard to read cause it only shows a range of data and not individual data

# data[].attributes.body
Jaya's And Pearl's group answer

1. 15

2. 12+8 = 20

3. No, Because the bar diagram show interval between 10 14 but the range show no fixed frequency

4. It doesn't show the exact value of the frequency, just show group of frequency

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Regita and Ave

1. There are 15 students

2. 12 students + 8 students = 20 students

3. We agree, because the bar chart shows the score range between 10 until 20, and all of them has a frequency of 15 students.

4. A frequency diagram might not be enough because there are some varied frequency on each of the range

# data[].attributes.body
1. 15 students

2. 20 students

3. No, because the frequency diagram only tells us that 15 students scored between 10 and 20, but not how many scored specifically between 10 and 14.

4. A frequency diagram only shows how many students scored in a certain range, not their exact scores. So we can't see exactly how the scores are spread out. That makes it harder to understand all the details of the data.

# data[].attributes.body
1. 15 Students

2. 20 Students

3. Yes, because it's still in the range between 10 - 20 ( which has 15 students )

4. Because the frequency diagram might not be as accurate as the histogram one and it may not be accurate because it's a continous data

# data[].attributes.body
1. 15

2. 20

3. No, there is a big possibility that there are some people who scored 15-20 within those 15 people.

4. I think that it is not too accurate because you won't be able to know how much got a certain specific value.

# data[].attributes.body
1. 15

2. 20

3. No, because we only know 15 scored between 10 until 20. We don't know how many scored between 10 till 14.

4. Because the diagram only show the range, not the specific score or data

# data[].attributes.body
1. 15 students

2. 20 students

3. no because there is a chance a few students scores past 14

4. because we won’t get the accurate data and must rely on ‘maybe’

# data[].attributes.body
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