# data[].attributes.body
1 - girls are better than boys at math
2 - are you a girls? are you a boys? do you good at math?
3 - the score of each student in their latest math exam
4 - use google form
5 - 10% of the 800 students = 80 students, so half boy half girl
6 - their round score, to the whole number

# data[].attributes.body
1: Girls are better in Math more than the boys.
2: Are you a girl or a boy? Do you good at math? Who do you think is better in Math
3: The number of boys and girls who good in Math
4: Method of collection: Questionare
5: 10% of 800 => 80 students => 40 girls and 40 boyss
6: Percentage of the students who good at Math and make it to the nearest tenth.

# data[].attributes.body
1. boys are better at girls than math
2. 'are you male or female?' 'What grade are you in?' 'do you think you're good at maths?' 'How have you done in previous tests?'
3. doing two tests and finding out the average of the marks over 100
4. doing two tests
5. 10% of 800 -> 80 students -> 40 girls and 40 boys
6. finding average score like in no.3

# data[].attributes.body
You could ask the Math teachers to know who's good at Math. Make an notification or poster asking which gender is good at Math .Ask some friends to help you

# data[].attributes.body
He could ask their score or ask the school for their score for the survey.

# data[].attributes.body
1, Hypothesis: 'girls are better at maths than boys'
2, Questions: 'are you good at math?', 'are you boy or girl?'
3, Data to collect: the scores of 800 random students in the latest math exam.
4, Method of collection: do a test.
5, Sample size: 10% of 800= 80 (40girls & 40 boys)
6, Accuracy of data: round the score to the nearest 10

# data[].attributes.body
It might be difficult to ask the whole school, some could ignore your question. Some could not help you with this data.

# data[].attributes.body
Privacy reason, and some won't answer

# data[].attributes.body
the student he ask may not answering his question, some will ignore the question

# data[].attributes.body
tests are not a surefire way to determine someone's capabilities. someone's age and the grade they're in might be factors in how good they are at math. taking the data might be quite unreliable. it would be better if it was taken from only one grade and age range. what if someone purposefully does badly on the test?

# data[].attributes.body
some can ignore you because they are busy at something else
or just not want to tell some strangers about the score

# data[].attributes.body
- he will lazy beacause it to many people to ask
- someone have lower point, wont share to him

# data[].attributes.body
go around and ask then make a table

# data[].attributes.body
Ask

# data[].attributes.body
1:hypothesis:boy are better at math than girls
2: Questions: 'are you good at math?'
3: Data to collect: the number of students in the school exam.
4:Method of collection: do a test.
5

# data[].attributes.body
everyone

# data[].attributes.body
because some people don't cooperate.

# data[].attributes.body
let them do a test

# data[].attributes.body
1, girls are better than boys at math
2, " are you boys or girls?", "what is your math score?"
3, the score of each boy and girl in math
4, questionnaire
5, 10% of 800 students -> 80 students -> 40 boys and 40 girls
6, find the average score of boys and girls and round the score to the nearest tenth

# data[].attributes.body
maybe they are afraid because their scores are low and they are afraid to speak out for fear of being criticized by others

# data[].attributes.body
1, Girls are better than boys at math
2, "are you a boy or a girl?" "are you good at math"
3, The score of 800 students
4,make them do a test
5, 10% of 800 -> 80 students -> 40 girls and 40 boys

# data[].attributes.body
p.anh
Can give them a quick test to see which gender scores are higher

# data[].attributes.body
look at their homework. i think you could determine how good they are (not rlly)..

# data[].attributes.body
1. boys are better at math than girls
2. boys or girls? good at math?
3. the scores
4. go around and ask
5. 10% of 800 students -> 80 students -> 40 boys and 40 girls

# data[].attributes.body
ask their teacher about their score in class.

# data[].attributes.body
They dont want to talk

# data[].attributes.body
Have everyone take the test and interview a few questions: easy to hard

# data[].attributes.body
1:hypothesis:boy are better at math than girls
2: Questions: 'are you good at math?'
3: Data to collect: the number of students in the school exam.
4:Method of collection: do a test.
5. 10% of 800 -> 80 students -> 40 girls and 40 boys
6.Percentage of the students who good at Math and make it to the nearest tenth.

# data[].attributes.body
1, girls are better than boys at math
2, “are you good at math”
3, 10% of 800 students -> 80 students -> 40 boys and 40 girls
4, find the average score of girls and boys

# data[].attributes.body
1 girl are better than boys at math
2 do you good at math? are you a boy or girl?
3 the score of each boy and each girl
4 make questions and ask them
5 10% of the 800 students = 80 students, so 40 boys and 40 girl

# data[].attributes.body
p.anh:

1. girls are better than boys at Math
2.are you a boy or a girl ? what is your Maths score ? are you good at Maths
3.the score of the latest math exam
4.try to do a test to check
5.10% of 800 -> 80 students -> 40 boys and 40 girls

# data[].attributes.body
ask their teachers about their scores and attitudes in class