BIOL 1208 Chapter : Bio Lab 4
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Biology Lab notes 9/30/13
Formulating Hypothesis
• Null Hypothesis → NO difference or no change between the treatment and
control in your experiment
• Alternative Hypothesis → WILL be a difference/change between the
treatment and control
• Don’t forget to draw the slope aka dotted line to make the square
Be specific…
• Before experiment: what was your null and alternative hypothesis?
• After experiment/Data analysis: Which hypothesis you rejected? Null or
Alternative
Null→ there will be no difference in the rate of reaction between the control and
treatment groups (need to specify which is the control and which is the treatment)
Alternative→ there will be a difference in the rate of reaction between the control
and treatment groups (need to specify which is the control and which is the
treatment)
Importance of Replica… basically find the mean
• To avoid experimental error
• For example: If I need to find effect of temperature on the rate of reaction
o Temperature 4 degree Celsius
How to get 3 Replica
• Ask the data from other partner/group from the same kind of experiment
In-Class writing:
Base for formal writing 1
Steps
-Calculate concentration for each treatment
-Calculate average concentration for each treatment
-Calculate standard deviation (S.D.) for each treatment
-Plot scatter smooth curve
-On these points, need to plot AD/error bar
-Plot all of your treatment in one figure
Standard Deviation
• Deviation from the mean (average) value
• Low SD = data points tend to be closed to mean value
• High SD= Data points spread out over large value
Formulas:
Concentration= (Cell no. with respect to value-0.0014)/1.0905
Time is independent (x axis)
Concentration is dependent (y axis)
Document Summary
Null there will be no difference in the rate of reaction between the control and treatment groups (need to specify which is the control and which is the treatment) Alternative there will be a difference in the rate of reaction between the control and treatment groups (need to specify which is the control and which is the treatment) Importance of replica basically find the mean: to avoid experimental error, for example: if i need to find effect of temperature on the rate of reaction, temperature 4 degree celsius. How to get 3 replica: ask the data from other partner/group from the same kind of experiment. On these points, need to plot ad/error bar. Plot all of your treatment in one figure. Standard deviation: deviation from the mean (average) value, low sd = data points tend to be closed to mean value, high sd= data points spread out over large value.