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Petree
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#1
I'm doing ok at my project but need a stat. test asap!
The title is "How the growth of yeast is effected by the carbon source used" essentially the results are in CM3 and i need to prove that glucose is the fastest substrate whereas lactose is the slowest, i have 5 repeats and a mean, and cumulative number but i don't have enough data for a t-test (or do i?)
Did a poisson test to prove that 5 would give me an appropiate % of cumulative prob.
And have attempted the following
Some of these may have come up with the right answer though i'm so bad at maths (8% on S1!)
Anyhelp grealtly apprechiated!
Petree!
The title is "How the growth of yeast is effected by the carbon source used" essentially the results are in CM3 and i need to prove that glucose is the fastest substrate whereas lactose is the slowest, i have 5 repeats and a mean, and cumulative number but i don't have enough data for a t-test (or do i?)
Did a poisson test to prove that 5 would give me an appropiate % of cumulative prob.
And have attempted the following
- Spearmans rank correlation
- regression analysis (prob wrong)
- wilcoxon matched pairs test
- not enough data for Mann-Whitney u
- Students t-test
Some of these may have come up with the right answer though i'm so bad at maths (8% on S1!)
Anyhelp grealtly apprechiated!
Petree!
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.NK
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#2
(Original post by Petree)
I'm doing ok at my project but need a stat. test asap!
The title is "How the growth of yeast is effected by the carbon source used" essentially the results are in CM3 and i need to prove that glucose is the fastest substrate whereas lactose is the slowest, i have 5 repeats and a mean, and cumulative number but i don't have enough data for a t-test (or do i?)
And have attempted the following
I'm doing ok at my project but need a stat. test asap!
The title is "How the growth of yeast is effected by the carbon source used" essentially the results are in CM3 and i need to prove that glucose is the fastest substrate whereas lactose is the slowest, i have 5 repeats and a mean, and cumulative number but i don't have enough data for a t-test (or do i?)
And have attempted the following
- Spearmans rank correlation
- regression analysis (prob wrong)
- wilcoxon matched pairs test
- not enough data for Mann-Whitney u
- Students t-test
Hope that's of some help.
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Petree
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#3
Can't see how i would do this, pls help!
I have the following data
Sucrose (5 min between figure)
Mean 1.52 3.38 5.86 6.18 4.98 4.34 1.68
Glucose
Mean 2.62 7.86 6.68 6.50 2.86 0.64 0.20
Do i need the total mean i.e. all of these divided by 7, or am i missing something?
everytime i try and talk to my techer he starts going on about how he can't help or marks will have to be deducted! which i don't even begin to understand since i could ring up GSK or something and ask them but can't ask him?!?
Would mann-whitney provide the right answer?
http://eatworms.swmed.edu/~leon/stats/utest.cgi
U Test Results
n1 n2 U P (two-tailed) P (one-tailed)
7 7 25 1 0.5
normal approx
z = 0.0638877 0.94906* 0.47453*
*These values are approximate.
The two samples are not significantly different (P >= 0.05, two-tailed test).
this helps (the wrong way but) since it gives me the 'are they different answer', does anyone know how much (ahem) fakery i will need to ensure it fits my hypothesis, the results are different but must not be enough for this.
I have the following data
Sucrose (5 min between figure)
Mean 1.52 3.38 5.86 6.18 4.98 4.34 1.68
Glucose
Mean 2.62 7.86 6.68 6.50 2.86 0.64 0.20
Do i need the total mean i.e. all of these divided by 7, or am i missing something?
everytime i try and talk to my techer he starts going on about how he can't help or marks will have to be deducted! which i don't even begin to understand since i could ring up GSK or something and ask them but can't ask him?!?
Would mann-whitney provide the right answer?
http://eatworms.swmed.edu/~leon/stats/utest.cgi
U Test Results
n1 n2 U P (two-tailed) P (one-tailed)
7 7 25 1 0.5
normal approx
z = 0.0638877 0.94906* 0.47453*
*These values are approximate.
The two samples are not significantly different (P >= 0.05, two-tailed test).
this helps (the wrong way but) since it gives me the 'are they different answer', does anyone know how much (ahem) fakery i will need to ensure it fits my hypothesis, the results are different but must not be enough for this.
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