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    (Original post by Hiyoriiki)
    Why is it then that when questions in the papers come on commenting on the reliability of a set of data, in the ms overlapping standard deviations are discussed?
    When there is overlapping it also decreases the reliability of the experiment. What exactly does the mark scheme say about overlaps?




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    (Original post by Saima Hasnain)
    When there is overlapping it also decreases the reliability of the experiment. What exactly does the mark scheme say about overlaps?




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    i think you made a mistake here. when s.d. overlaps for two sets for data, we say that the overlapping range for that data is not significant.
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    guyys does anyone have extra notes on Vitamin C experiment
    most people say that its most likely to come I really hope so
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    (Original post by bdoon esm)
    When to draw a bar chart and when to draw a scatter graph and a straight line graph?


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    bar chart - the independent variable is a qualitative value rather than a quantitative. thereby, your x axis would not have any numbers involved.

    scatter/straight line - in bio, we have to connect the points, unless they have specifically asked to draw a straight line
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    (Original post by Saima Hasnain)
    When there is overlapping it also decreases the reliability of the experiment. What exactly does the mark scheme say about overlaps?




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    Its usually in the comment on reliability qs so in the ms it says that we just state if and where is the overlap
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    (Original post by Neurology)
    i think you made a mistake here. when s.d. overlaps for two sets for data, we say that the overlapping range for that data is not significant.
    Oh, what do you mean by not significant?


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    (Original post by Saima Hasnain)
    Oh, what do you mean by not significant?


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    we dont consider it when making conclusions
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    (Original post by Hiyoriiki)
    Its usually in the comment on reliability qs so in the ms it says that we just state if and where is the overlap
    Oh okay, thanks 😊




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    (Original post by Neurology)
    we dont consider it when making conclusions

    Oh okay, thanks alot ☺️


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    (Original post by Saima Hasnain)
    Oh okay, thanks alot ☺️


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    glad to help
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    Did anyone understand jan 12 (c)(i)? (Q1)
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    (Original post by Neurology)
    we dont consider it when making conclusions
    so if the SDs overlap and they ask us to comment on the reliability, should we say its not reliable ?
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    what about the totipotency experiment?
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    (Original post by Willandy123)
    How do you know vitamin C is gonna come tomorrow?
    There's a pattern in the exams,

    jun 09: membrane
    jan 10:garlic
    jun 10:enzymes
    jan 11:minerals
    jun 11;fibres
    jan 12:vitamin
    jun 12:caffeine
    jan 13:toti
    jun 13:mitosis
    --------
    jan 14:membrane
    jun14:garlic
    jan 15:enzymes
    june 2015 --> mineral
    jan 16: Fibres
    June 16:Vitamin??

    So basically, it's really likely to actually be Vitamin C
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    Do we need to memorise the whole experiment or should we just learn about the independant, dependant and controlled vairables and also the reagents used?
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    (Original post by Nethmioysters)
    so if the SDs overlap and they ask us to comment on the reliability, should we say its not reliable ?
    if they overlap, it is NOT reliable, coclutions should not be made
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    (Original post by charlesdarwin)
    if they overlap, it is NOT reliable, coclutions should not be made
    oh ok thanks!!!!
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    (Original post by Willandy123)
    To increase validity:
    1) Compare experimental results with other similar experiments
    2) Use of control in experiment.
    3) Check bias of sponsors.
    4) No overlapping of standard deviation.
    5) Large sample.
    6) Peer review.
    7) Methodology to which the data is obtained.

    Keeping all other factors constant increases reliability because we would without doubt know that all changes within an experiment is due to the specific factor. For example: Mineral deficiency, we need to find out the effect of mineral deficiency in plants so variables to keep constant are light intensity and temperature. Now, we want to make sure that all changes in growth of plants is due to mineral deficiency but not light intensity and temperature, therefore makes the results more reliable.

    Hopefully this helps as I am also going to take the exam.
    This is great! thanks!
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    dependent and independent variables in vit c experiment?
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    (Original post by Hiyoriiki)
    Didn't overlapping standard deviations decrease validity?
    Oh yes, overlapping standard deviations DO make the data unreliable, what i meant was that in general, If a table shows high SD then the data is unreliable.
 
 
 
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