For an organism to function, substances must move into and out of cells. Three processes contribute to this movement – diffusion, osmosis and active transport.

The investigation cannot be based on changes in mass from just one potato cylinder.

In scientific tests, ensure a number of measurements are made to allow for uncertainty and error in data and anomalous results.

Percentage changes in mass must be calculated for each cylinder. A mean value for the change in mass of potato cylinders at each concentration – measured in moles of sucrose per dm^{3} of solution, or mol dm^{-3} – should be calculated.

A graph is plotted of change in mass, in percent, against concentration of sucrose.

Where potato cylinders have gained in mass, the change will be positive.

Where potato cylinders have decreased in mass, the change will be negative.

Concentration of sucrose | Average change in mass |
---|---|

0.0 mol dm^{-3} | +26.8% |

0.2 mol dm^{-3} | +5.0% |

0.4 mol dm^{-3} | -7.7% |

0.6 mol dm^{-3} | -17.9% |

0.8 mol dm^{-3} | -26.0% |

1.0 mol dm^{-3} | -31.4% |

Where the plotted line crosses the horizontal axis at 0% change in mass, the sucrose concentration is equal to the concentration of dissolved substances in the potato cells.

This can be identified on the graph as the point which shows no change in mass, and therefore represents no net movement of water by osmosis.

- Question
What is the concentration of solutes in the cells of the potato in this investigation?

0.27 mol dm

^{-3}.This value is where the line crosses the x-axis.

The concentration of dissolved solutes in the cells of different potatoes will vary slightly from potato to potato. A set of data for a range in concentrations can look at the range, and the mean, but these do not show whether data is evenly spread or whether it is clustered together within a certain range.

Scientists use percentiles to divide a set of data into 100, and look to see where the data lies within these divisions.

The median – the point in a set of data where 50% of the data falls above this value, and 50% below it – is the 50th percentile.

The 75^{th} percentile is where 75% of the data falls below this value.

There are several methods of finding a percentile. The simplest is the **nearest rank** method.

As with finding the median of a set of data, begin by putting the data into order.

For a range of values for the concentration of potato cell sap:

0.27 | 0.32 | 0.25 | 0.24 | 0.28 | 0.31 | 0.30 | 0.26 | 0.29 | 0.29 | 0.31 | 0.35 | 0.21 | 0.28 | 0.28 | 0.26 |

0.35 | 0.22 | 0.27 | 0.26 | 0.24 | 0.23 | 0.39 | 0.28 | 0.29 | 0.27 | 0.26 | 0.25 | 0.30 | 0.27 | 0.25 | 0.26 |

Arranged in order:

0.21 | 0.22 | 0.23 | 0.24 | 0.24 | 0.25 | 0.25 | 0.25 | 0.26 | 0.26 | 0.26 | 0.26 | 0.26 | 0.27 | 0.27 | 0.27 |

0.27 | 0.28 | 0.28 | 0.28 | 0.28 | 0.29 | 0.29 | 0.29 | 0.30 | 0.30 | 0.31 | 0.31 | 0.32 | 0.35 | 0.35 | 0.39 |

To find, for example the 50th percentile, first find the rank:

So the 50th percentile will be the 16th number in the ordered data set, starting from the left.

The 50th percentile is 0.27.

0.21 | 0.22 | 0.23 | 0.24 | 0.24 | 0.25 | 0.25 | 0.25 | 0.26 | 0.26 | 0.26 | 0.26 | 0.26 | 0.27 | 0.27 | 0.27 |

0.27 | 0.28 | 0.28 | 0.28 | 0.28 | 0.29 | 0.29 | 0.29 | 0.30 | 0.30 | 0.31 | 0.31 | 0.32 | 0.35 | 0.35 | 0.39 |

Where the ordered rank is not a whole number, round the number up.

- Question
Find the 90th percentile for the same set of data.

0.32 mol dm

^{-3}0.21 0.22 0.23 0.24 0.24 0.25 0.25 0.25 0.26 0.26 0.26 0.26 0.26 0.27 0.27 0.27 0.27 0.28 0.28 0.28 0.28 0.29 0.29 0.29 0.30 0.30 0.31 0.31 **0.32**0.35 0.35 0.39

This method will only give percentiles as numbers that exist in the data set.

In other methods, percentiles can be interpolated for values that don't exist in the data set.