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

2. 20 students

3. disagree, because 15 students are supposed to score maximum of 20 not a maximum of 14

4. because it lacks details to the real data

# data[].attributes.body
Marley And Clifford

1. 15

2. 20

3. No, because 15 students is between 10 until 20 not 10 until 14

4. Because the frequency sometime is whole number in continous data the value can be form in decimal

# data[].attributes.body
1.15

2.20

3.No, because it does not show detail data

4. because it only show and graph a range data not the exact value

# data[].attributes.body
1. 15

2. 12 + 8 = 20

3. No, We don’t agree. We only know 15 students scored between 10 and 20; We can’t assume how many scored between 10 and 14 without more detail.

4. A frequency diagram shows how many values fall in each group, but it doesn't clearly shows the exact scores.

# data[].attributes.body
Roswita M. and Zephaniah L.

1. 15 students

2. 21 students

3. Yes (I think), because it still counts in the range of grade of 10-20, even though it might be incorrect.

4. Most likely because a frequency diagram are only showing in a range and not the exact data.

# data[].attributes.body
Group Members

Aurelia T.

Ralph S.

07/05/25

Answers :

1. 15 students

2. 20 students

3. Yes, we agree because there are 15 students who scored between 10 and 14; this shows that this is a range (continuous type of data), as is shown in the graph.

4. Because, frequency diagram is usually used to interpret discrete data, the shape of the diagram might be misinterpret as the frequency of one data instead of as a range.

# data[].attributes.body
1. 15

2. 21

3. yes, because based on the diagram it shows that between 10-14 the students is 15

4. because the data given is not detail

# data[].attributes.body
Answers:

1. 15 students

2. 20 students

3. No. Because the diagram shows 15 students score between 10-20 points, not 10-14.

4. Because it can’t be specific/completely accurate.

# data[].attributes.body
Jocelynn P & Nadine W

1. 15

2. 21

3. No, bcs there are 15 students who scored between 10 and 20

4. Because a frequency diagram will hide the exact values making it less detailed

# data[].attributes.body
1. 15

2. 13+8=21

3. Disagree, because between 10 and 14 the number is always going to be 15.

4. Because it can’t write the exact values.

Kiren & Lingkan

# data[].attributes.body
1. 15

2. 8

3. We don't agree because, the frequency is less than the score range.

4. because there's no decimal numbers

# data[].attributes.body
1. 15

2. 20

3. No, because the data only displays the students scored between 10-20. But it doesnt break the range into smaller intervals (like 10-14)

4. Because it groups the data into a single group and doesn't fully display the patterns of its data

# data[].attributes.body
Answers:

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2. ...........

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