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  • 20-09-2009 11:23am
    #1
    Closed Accounts Posts: 292 ✭✭


    Hi There.
    I need some help with statistics for my thesis. Ive gathered all the data and calculated my means. But im unsure what to do with the data. What type of t-test, what to do with the results. i.e. What dose the number mean to my hypothesis? Im awful at maths.

    My thesis is due in 6 days, so i REALLY gotta get this done. Id be willing to pay, if someone could meet up with me for a couple hours to go through it (Dublin city). Im in desperate need at this stage.

    cheers


Comments

  • Closed Accounts Posts: 70 ✭✭epictetus2009


    hi

    can you give a description of the experiment you carried out.

    then im sure some suggestions can be posted

    c


  • Closed Accounts Posts: 292 ✭✭spyro_2001ie


    Without getting into too much detail. I had an experimental design with 2 orders of 2 conditions.

    Order 1 > No independent Variable present> Independent Variable Present.

    Order > Independent Variable Present > No independent Variable present.

    I have the data entered into excel, but im unsure about whether to do a 1 tailed or two tailed, paired or un paired t-test.
    Then when i get my t value, what do i do with that?
    How do i prove or dis prove my hypothesis with this number? P values?

    I also have a second hypothesis i need to prove, which involves proving that over time having been exposed to the Independent Variable, resulted in a higher mean effect of the Independent Variable.

    Any suggestions would be very welcome.

    I could explain it more specifically, but that would involve a 20'000 word post. :p


  • Registered Users, Registered Users 2 Posts: 1,845 ✭✭✭2Scoops


    I have the data entered into excel, but im unsure about whether to do a 1 tailed or two tailed,

    This depends on whether you have a directional hypothesis and a very strong reason to completely ignore the possibility that you are wrong. If in doubt, 2-tailed.
    paired or un paired t-test.
    Is it a pre/post design i.e. the same thing (person?) tested on the same endpoint twice? If yes, paired. If no, unpaired.
    Then when i get my t value, what do i do with that?
    In olden days you would compare it to the t-distribution. Modern software does the job for you -> p-value.
    How do i prove or dis prove my hypothesis with this number? P values?

    The p-value will tell you the probability of the difference between means being due to random variation. If it is sufficiently improbable (P<0.05 or other wise), you can say, with a certain degree of probability, that it is 'really' different in a systematic way. What that means depends on your study design. It means you can reject, with a certain degree of confidence, the null hypothesis. You cannot 'prove' the null hypothesis.


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