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Mathematics 9 Online
OpenStudy (anonymous):

can anyone help me with my survey for statistics?

OpenStudy (anonymous):

Yes

OpenStudy (anonymous):

u can?

OpenStudy (anonymous):

Ask a question. Tell me more

OpenStudy (anonymous):

So I conducted this survey with a sample size of 47, it was to find out whether reading contributes to GPA I asked the following questions in order GPA How many hours do you read per week how many hours do you study every week -I must apply elementary probability (probability of event B and A) -binomial probability -confidence interval... heres the link to the data http://www.viewdocsonline.com/document/7dgay4

OpenStudy (anonymous):

the yes and no replies were for 'whether they thought reading contributed to their gpa'

OpenStudy (anonymous):

You need to organize the data better. It has not headings. What does Yes/No mean? Can you enter the data into a spreadsheet? What is 20 hours?

OpenStudy (anonymous):

the first part is their GPAs the second part was the response to whether or not they thought reading contributed to their gpa, the third part was the number of hours they spend reading per week the last is the number of hours they spend studying

OpenStudy (anonymous):

I am not clear on what you mean by applying elementary probability. You might find the average number of hours studying or reading and look at whether those who fell above the average had a higher GPA. That is not what I would call probability, but the way I would analyze the data

OpenStudy (anonymous):

yeaht hen i have to apply 'confidence interval' and im quite lost

OpenStudy (anonymous):

If you can calculate a mean and sd, then a confidence interval is just another formula Mean +/-(sd/sqr(n))*1.96 that will give you the 95% confidence limits

OpenStudy (anonymous):

like to get that, what data would i use? the gpa, reading per week, studying per week...?

OpenStudy (anonymous):

You can get the 95% confidence limits for the GPA, time reading, and time studying

OpenStudy (anonymous):

okay and the binomial distribution for the yes and no response?

OpenStudy (anonymous):

assume it is random, so the probability is 50/50 yes/no You have 47 scores so expect 23.5 yes and 23.5 no. How many do you get? It looks like 36 yes and 11 no. That would be a very low probability and you can say significantly more read than not. How does the prof want you to calculate binomial values? Table, calculator, spreadsheet, by hand

OpenStudy (anonymous):

it would lend itself more to chi square than binomial

OpenStudy (anonymous):

what was that?

OpenStudy (anonymous):

Chi square is another test in stat. if you have not learned it yet, ignore it for now

OpenStudy (anonymous):

i dont think i have and she would proabily want it by spreadsheet table orhand

OpenStudy (anonymous):

Excel has a formula for the binomial, so you can calclulate 36 yes and 11 no with a probability of .5

OpenStudy (anonymous):

Do you have a table that give binomial probabilities in your text?

OpenStudy (anonymous):

uhm do u know how to do it on excell?

OpenStudy (anonymous):

look up the binomial function

OpenStudy (anonymous):

do you mean p(r)=C_n,r P^r q^n-r

OpenStudy (anonymous):

no. look up the binomdist function. Insert, function, binomial

OpenStudy (anonymous):

isnt that like binompdf(n.pr) on the calculator?

OpenStudy (anonymous):

I do not know your calculator. if you know it, use it with simple numbers as a test

OpenStudy (anonymous):

okay

OpenStudy (anonymous):

what should i use for my 'r'

OpenStudy (anonymous):

N=47, r=11 or 36, p = .5

OpenStudy (anonymous):

oh i got like .00012376

OpenStudy (anonymous):

That seems like a reasonable number. Got to run

OpenStudy (anonymous):

okay is ther anyway to contact u

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