Hypothesis: Students spent most of their free time on internet.Statistical Measure: We decided to use scatter graph at first to see how it work and to do that is quite simple as we insert the data on excel then we copy and paste it on autograph and here is how it looked like(left). As you could see the dots are the point where you could compare the freetime(on the x-axis) and the time spent on internet(y-axis) and they are measured in hours. It is quite simple to do but it is harder to compare and to tell if the hypothesis is true or not. (the scatter graph is first, i don't know how to arrange them, it just came out like this when i inserted few images)So the second method was to use the same data we collected but by putting it in a tally chart then a pie chart which is easier for comparing data of course. How do we do this? Well, we insert the data on excel first(last bottom image) and reading from the data on excel, we put it on a tally frequency table(left, 3nd image). Later, we finished it by putting the data from the tally table onto a pie chart which came out like this(second image).
Diagram: Tally Chart, excel table, scatter graph and pie chart.
Conclusion: In conclusion, the hypothesis is true because as you can see on the results, there are more students who spent their free time on internet than doing other activities. However, this isn't a very accurate result as this is only a day or merely an approximate average of free time and internet hours each day. So the results can change, also this is only the results for 17 students from the same age group so to make it fair, we need to test it on students from other age groups as well.
(The layout is not very consistent and matching the text but i've got no idea how to move the images and make it the way i wanted so this is how it turned out, sorry!)
EDITED IS IN ITALIC.
Why did i specifically shown all my working process? So people can see how i did it and also how it helped me. Also, the for tally frequency table, if anybody do not understand. Please read this, the 'internet' on the table is meant for students on internet more on their freetime than other activites. 'not on internet' meant for students who spent more freetime on OTHER ACTIVITIES than internet. 'Equal time' meant that students who spent the same equal amount of their freetime both on internet and others which is balance.
I didn't use the other graphs and used a pie chart which might 'lose a lot of data' according to Hokyin and Anh Tu but as i said on the comments below, i like to use this because personally, a pie chart is better to compare the proportions, after all, this is what pie charts are for. I didn't follow the others and how they also added what other kind of activities for example: watching television, outdoor acitivies because clearly, the hypothesis and the purpose of this is actually to test whether if students really spent most of their freetime on internet so i don't think i need to know any other details that is not important or put to use for making my conclusion. Thank you. That is all, i won't type no more.
I agree with your conclusion and i could see that you did alot of work to get your search results.
ReplyDeleteThis is a very detailed piece of writing and it shows your understanding in what you were doing! :D Great job.
ReplyDeleteWow! THis is really detailed and really good too. :)
ReplyDeleteThis is really good and detailed work and your diagram is also clear. Great! :)
ReplyDeletei think your conclusion is very detailed and i agree that it could be improved by asking other students from different age groups.
ReplyDeleteYou could've added a line of best fit on the graph above to prove that your hypothesis is true but everything else is awesome.
ReplyDeleteYan Shin, again I will post another comment on the pie-chart. Firstly, it is easier to compare the results, and it does look visually appealing - so props to you on that, but in terms of conclusions, and results, the loss of data could make the difference on your conclusion. I would have suggested you did 2 forms of showing your data. Hokyin.
ReplyDeleteThank you Aston but as you can read it, I decided to use the pie chart as my main method. The scatter graph was just to testify and apparently, i didn't think it worked well so i decided not to do it but still post it as it is still a working process. :)
ReplyDeleteOh and I would like to add that I dont pick favourites.... but I just want to say that I think this is the best post ;)
ReplyDeleteThis is soooooo good. It is really detailed and you have anylised your results really well. I like the way you showed how is wasnt a fair test. The different diagrams were really good and clever. :)
ReplyDeleteHokyin, READ MY PREVIOUS COMMENT TO ASTON :) thank you.
ReplyDeleteAhh, that explains it, but again, - you lose data which could be critcal to your conclusion.
ReplyDeletehmm... maybe it would be better if you added the line of best fit? but i like the way how you presented the raw data as a table :)
ReplyDeleteuhm...kimberley, can u read the comment i first gave to aston? thanks and TO EVERYONE. READ THAT COMMENT TOO. =.='
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ReplyDeleteAnh tu. no swearing on my post. O.O Thanks but still, i 'prefer' to use a pie chart because then i can see clearly the proportions of the pie chart which i can then use on my conclusion and analyse my results.
ReplyDeleteI agree with Hok yin you lose a substancial amount of data by making this pie chart ( I also said this to Atomic Sushi A.K.A alyssa) but overall it is a fine piece of work you added a lot of effort into this. I liked how you said that your test was unfair and that you have recognised the ways in e=which you can improve your work.
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