Bio Ia Template 2b152y

Biology Internal Assessment () Practical Research question Independent variable (range of values), Dependent variable (how data is collected), controlled variables, control experiment (positive/negative). Broad aim Background information Lit review Mode of mechanism – cellular/ molecular level? Biological aspect If spectrophotometer – choice of wavelength Hypothesis

Table of materials S/No 1 2 3

Material

Concentration

Quantity

Apparatus 10cm3 measuring cylinder 25cm3 measuring cylinder 50cm3 measuring cylinder 100cm3 measuring cylinder Ruler Electronic stopwatch Electronic mass balance Laboratory thermometer Spectrophotometer 50cm3 burette 5cm3 syringe 8mm cork borer 50cm3 beaker 100cm3 beaker 250cm3 conical flask White tile

Quantity

Uncertainty ±0.1cm3 ±0.5cm3 ±0.5cm3 ±1cm3 ±0.1cm3 ±0.01s ±0.01g ±0.5ºC ±0.005 A ±0.01cm3 -

Table of apparatus S/No

1 1 1 1 1

Table of control of variables

Variables

Independent Variable Ways of controlling Apparatus used

Values of variable

Positive Control (has an effect on exp)

Negative Control (no effect on exp) e.g. non-germinating Table 3.1: Table of independent variables showing the values of the independent variables, how they are controlled and the materials used

Variable

Dependent Variable Method(s) of Assessing Apparatus used

Unit of measurement

Table 3.2: Table of dependent variables showing the ways of assessing and the apparatus used.

Variable

Controlled Variable Significance

Way(s) of controlling

Table 3.3: Table of controlled variables showing the variables to be controlled, their significance and how they are controlled.

Procedure *mention control Qualitative Data Aspect observed

Table of formulae

Photograph(s)

Observations *no numbers e.g. conditions of seeds walls of respiratory chamber – water vapour?

Formula

Worked example

Rationale

Calculation of Mean Average

åx

Formula Sample calculation of 10°C mean absorbance

n 0.758 + 0.644 + 0.546 + 0.836 + 0.846 5 = 0.726

Table 5.1: Calculation of Mean average. The values for sample calculation were obtained from Table 4.1, the raw data.

Calculation of Standard Deviation

å(x - x )

Formula

2

(n -1) (0.758 - 0.726)2 + (0.644 - 0.726)2 +... + (0.846 - 0.726)2 (5 -1)

Sample calculation of 10°C Standard Deviation

= 0.129

Table 5.2: Calculation of Standard Deviation. The values for sample calculation were obtained from

Calculation of Enzyme Activity Method Sample calculation of 10°C Enzymatic Activity

Means absorbanceControl - Mean AbsorbanceVariable

1.177 - 0.726 = 0.451

Table 5.3: Calculation of Enzyme activity. The values for sample calculation were obtained from the mean absorbance of the positive control and the variable from Table 6.1.

Quantitative Data *keeping figures to x d.p. for meaningful comparison **data following uncertainty (2m) The following graphs in fig 4, 5 and 6 are depicted to calculate the rate of cell respiration by taking the gradient of the respective trendlines using Microsoft Excel 2007 equation function. Graph of processed data *Error bars showing ±standard deviation for 5 replicates Discussion CE1: Description of trend (section 1 info  Molecular level)

(cite references, footnote) Limitations/large stan dv  ‘will be discussed in the evaluation’ T-test: MUST BE DISCUSSED. Parallel to other reports (optional) Prove trends/results are significant/reliable b/c they concur w/ research papers Conclusion

Limitations and improvements Procedure

Limitation Ways of collecting data Failure to control controlled variables

Improvement