# data[].attributes.body
Data Not Representative:
1. We will mostly be collecting data from all girls schools and will have a minimal number of replies from males.
2. We will be surveying pupils among the top schools only.

Data unreliable:
1.

# data[].attributes.body
Data Not Representative:
1. Researchers ask some students in school if they are tired and they all say yes and the researchers claim that students don't sleep enough but the truth was they interviewed the students after they had run 1.6km.
2. The hotel claims they are the best hotel (the customers are very relaxed) but they only asked the customers after they had given them many spas and massages.

Unreliable Data:
1. They say their customers lose 10kgafter going for their slimming treatment but the pictures displayed were all fake and photo-shopped.
2. They say their cookies are the best yet it depends on the consumer what they like.

Invalid Data:
1. data was consolidated 6 years ago.
2. The target was about studying but the data used is about sleeping.

# data[].attributes.body
Data not representative:
1. Only asking a students of a certain  age how much they use social media when we want to find out about all secondary students in general
Unreliable data:
1.We
Invalid data:
1.The data we collect is not updated
2.

# data[].attributes.body
Data not representative:
1. We want to find out something about teenagers but we only ask 13 year olds
2. We as only girls and not boys
Unreliable data:
1. We say that MGS girls are athletic but we only ask one class
2.We say that students in Singapore sleep very little but we only ask students in a certain school
Invalid data:
1. Data is from long ago
2.Data that is about the wrong group of people

# data[].attributes.body
Data Not representative :
1. Collecting data from secondary school students and not primary school students or students from tertiary levels.
2.  Data only collected from people that do not take the MRT before but now takes the MRT and asking whether she gets to school faster before the opening of the MRT.

Unreliable Data:
1. Asking people that anyhow answer the questions.
2. Asking mostly obese people whether they are athletic

Invalid Data:
1. Data from 1900s so it's not updated.
2. Data from elderly people when the research is about teenagers.

# data[].attributes.body
Data Not Representative:
1. Generalised Data
2. Not a balanced amount of candidates.

Unreliable Data:
1. Data that is bias.
2. Data that in alse.

Invalid Data:
1. Data taken more than  years ago.
2. E.g. Targeted audience is teenagers but the data used is from old people.

# data[].attributes.body
Data Not Representative:
1. Getting data mostly from the girls and not the boys
2. Only getting data from a few schools
Unreliable Data:
1.
2.
Invalid Data:
1.
2.

# data[].attributes.body
Data not representative:
1. Data collected from only one class or uniform curriculum

Unreliable data:
1. Students have different studying capabilities and style and different strengths in some subjects
2. Some students also rely on tuition and self studying instead of purely what is taught in school

Invalid data

# data[].attributes.body
Data Not Representative:

Unreliable Data:
1. My group asked for grades, when people may actually differ based on standards.
2. We are asking both O-level and IP students, so the results may varyas the tracks are different.

Invalid Data:
1. When we asked why parents do not allow their children to do it, we are only looking for how social media affects their grades, not really wy they do not have social media.
2. We also asked what kind of social media that we have.

# data[].attributes.body
Data not representative:
1. We could ask "All MGS students feel sleepy often at school" to only Sec 4s who would stay up later to study for O-levels or IP exams and thus would feel sleepier.
2.  We could say "All girls stay up late due to homework" after surveying only Sec 1 girls

Unreliable Data:
1. We could say Methodist Girls School girls are unathletic  and only  survey one class
2.

Invalid Data:

# data[].attributes.body
Data not representative
1. When the data is collected from a specific group of people with the same views.
2.
Unreliable Data
1. When data is collected from a long time ago, not recent or up to date
2.When data is only supported by 1 source and contridicts other sources
Invalid Data
1. When data
2.

# data[].attributes.attachment_link.description
See all the wonderful things YEW HUIXIN, CHARLOTTE 1S has made

# data[].attributes.body
Data not representative:
1. The target audience cannot only belong to the same school.
2. Collecting data from young children.
Unreliable data
1. Collecting data long ago.
2. Data that will not help in our project.
Invalid data:
1. Collecting irrelevant data.
2. Collecting useless data.

# data[].attributes.body
Data not representative:
Unreliable data:
1.Only from one group of people.
Invalid data:The people who do the survey do not take it seriously and and do not answer truthfully or relevently.

# data[].attributes.body
Data Not representative :
1. A survey by an organisation shows that the number of hours taken for a subject does not affect the results of a student, but they took almost all their results from only one class and a small percentage of results from other classes.

Unreliable Data:
1. The organisation only took results from students that have very high results.

Invalid Data:
1. The organisation took results that were from 1975 and not from 2016 or 2017.

# data[].attributes.body
Data Not Repessentative
1.We have gotten over a 100 survey answers from girls but only 2 survey answers from boys.
2.We did not ask them for their gender.
Unreliable Data:
1.We guessed their gender based on their names and they might have unisex names.
2.They might not of been honest while filling in the survey.
3.The infographiv that we found was done by a random person on the internet and might not be reliable.
Invalid  Data:
1.The only government data we found  was from 2014 and was not updated.
2.We do not know when the infographic was published and might not be updated.

# data[].attributes.body
Data not representative:
1.Too many girl participants, not enough boy participants
2. Many participants under 18 come from MGS
Unreliable Data:
1. Some participants do not take the survey seriously and give random answers
2. Participants are not clear on what the question is asking
Invalid Data:
1. The data collected is not related to research questions
2. The data used is out dated

# data[].attributes.body
Data not representative:
1. We have too many survey answers from girls, but very few survey replies from boys.
2. We have many survey answers from the age group under 18, but very few from the age group above 25.
Unreliable data:
1. What kinds of food people buy?
2. Where people exercise?
Invalid data:
1. If the survey answered is by someone who does not like shopping.
2. If the information we found was outdated and from many years ago.

# data[].attributes.body
Data not representative:
1. The target audience cannot only belong to the same school.
2. Collecting data from young children

Unreliable data:
1. Collecting irrelevant data
2. Data that does not relate to the topic at all

Invalid data:
1.  Data from 20 years ago
2. Collecting data from people who are not interested in the topic or people who do the survey for fun

# data[].attributes.body
Data not representative:
1. When the number of people for the statistical question are more than the number of people against.
2. Inequality in the way data is collected.
Unreliable data:
1. Data that is not true.
2. Data that is provided by unreliable sources.
Invalid Data:
1. Data not related to the statistical question.
E.g. When question is about modern-day, the data is from the past, it is invalid.
2. Stereotyped Data.

# data[].attributes.body
Data Not Representative:
1. When some schools start using electronic learning devices only in Year 2
Unreliable Data:
1. When most schools that data is collected from have lesser students
Invalid Data:
1. When students do not answer the questions honestly and seriously.

# data[].attributes.body
Data not representative
1. When there are too many participants from one school
2. When there are too many participants from a certain age group
Unreliable data
1. When there are too little participants
2.When the participants are prone to lying
Invalid data
1. When the data is outdated
2. Answers to irrelevant questions

# data[].attributes.body
Data Not representative :
1. Collecting data from 1 boy and 50 girls.
2. Collecting data from people from schools not along the Downtown line.

Unreliable Data:
1. When the participants are not well-informed on the issue being surveyed.
2. When the participants do not want to answer the questions honestly.

Invalid Data:
1. When you ask questions that are not related to the topic.
2. When the data is from a few yeas ago and events have taken place that cause an increase in a certain statistic.

# data[].attributes.body
Data not representative:
1.  We are only asking secondary school students from MGS.
2.

Unreliable Data:
1. Some people might be able to do very well in examinations without studying, and spending a lot of time on social media while some might not.
2.
Invalid Data:
1.  Some of the secondary sources talk about the amount of time university students spend on social media in relation to their academic performance, but our survey that we are conducting is based on secondary school students.
2.

# data[].attributes.body
Data not representative:
1. When we take many answers from a  certain school but only a few answers from other schools.
2. When we only collect data from a few people around us.

Unreliable data:
1. When people respond to the question very vaguely.
2. When people with significant differences both do the survey.

Invalid data:
1. When we ask questions that are not related to the topic.
2. When we ask people that cannot relate to the questions asked.

# data[].attributes.body
Data Not representative :
1. We have gotten over a hundred survey answers from girls. However, we only got two survey answers from boys
2. As we did not add in a gender option in the survey
Unreliable Data:
1. Thus, we guessed their gender based on the names of their E-mail account. They could possibly have unisex names.
2. They might not be honest while filling in this form
3 The Infographic data we found was from an unreliable resource and might not be credible
Invalid Data:
1. The only latest Government data that we found was from 2014 and not updated
2. We do not know the date the Infographic was published

# data[].attributes.body
1. Only collecting data from 1 place (e.g. one school when you want to study STUDENTS IN SG)
2. When not all variables were kept the same, other than the research question (e.g. when investigating average amount of time spent on homework  weekly, we ask 10 primary and 10 secondary, we should instead separate our conclusion into avrg amt of time for Primary and Secondary school students, not draw one conclusion)

Unreliable Data:
1. When data is taken from too few test subjects (e.g. when studying the effect of the increase of water prices on SG, collecting data from only 10 households would not be reliable because SG has a lot more than 10 households)
2. When the researcher favours one group of test subjects over the other, s/he may present data in an inaccurate thus unreliable manner.

Invalid Data:
1. When the survey question is unrelated to the research question (e.g. when researching the amt of time an avrg student spends on CCA weekly the survey question should not be "What is your favourite subject" etc.)
2. When the survey question is wrongly phrased and hence misunderstood by test subjects, they will provide inaccurate data and hence may be unreliable/invalid to the research.

# data[].attributes.body
Data not representative
1.When data is only found from one source.
2. When the sample size is to small.

Unreliable Data
1. When people are not taking the surveys honestly.
2.When most of the data i collected from 1 source.(e.g. 90%data from MGS, 1%data from SCGS)

Invalid Data
1.When the secondary data found is out dated (e.g. 1990 data for 2017 research)
2.When data is not related to research topic

# data[].attributes.body
Data not representative
1. only collecting data from one level (eg sec 1s) who have a much lighter work load than sec 4s, so if we ask them "how many hours of homework do you have on average in a week" there will be contrasting data
2. asking the question "how many hours do you sleep(including naps) on weekends" because the students don't spend all their time on their homework during weekends and how much time they sleep won't be due to the amount of homework they have

Unreliable Data
1. When you only take data from your friends and a large number of people
2.

Invalid Data
1.
2.

# data[].attributes.body
Data Not representative :
1. xxxxxx
2. xxxxxx

Unreliable Data:
1. xxxxxxx
2. xxxxxxx

Invalid Data:
1. xxxxxxxxx
2. xxxxxxxxx