mark scheme: 1. Only cleared and abandoned and introduction of non-native species make (significant) difference; 2. Because only (means of) these ± 2 SDs from zero / no change; 3. About same number / 4 to 3 increase or decrease (species) richness/ biodiversity
if you look at the graph, each change caused by humans is plotted with a central spot, and a bar either side of the spot to represent the standard deviation. if you look at the spots for "land cleared.." and for "introduction of non-native species", they have a much greater effect since the mean is at least 2 standard deviations far from 0 (which represents no change). This shows that the "land cleared..." causes an increase in species richness whereas the "introduction of non-native species" causes a decrease in species richness. Does this make sense?
if you look at the graph, each change caused by humans is plotted with a central spot, and a bar either side of the spot to represent the standard deviation. if you look at the spots for "land cleared.." and for "introduction of non-native species", they have a much greater effect since the mean is at least 2 standard deviations far from 0 (which represents no change). This shows that the "land cleared..." causes an increase in species richness whereas the "introduction of non-native species" causes a decrease in species richness. Does this make sense?
thank u for responding! okay i got that land cleared increases species richness and intro of non-native species causes decrease in species richness. u said that the mean is 2 SDs far from 0, however in the graph looking at the x-axis, the points only go up to 1, so how can any data be 2 SD away from 0? that's what i don't get
thank u for responding! okay i got that land cleared increases species richness and intro of non-native species causes decrease in species richness. u said that the mean is 2 SDs far from 0, however in the graph looking at the x-axis, the points only go up to 1, so how can any data be 2 SD away from 0? that's what i don't get
i see what ur confused about now! i think you need to understand what a standard deviation is to understand how this works. A standard deviation is a measurement that represents variation of data about a certain value, in this case the mean. The standard deviation (of consistent data that follows a trend) tends to be any value between 0-1, 0 representing no variation between the data and 1 shows that the data generally is close to the mean but does deviate a bit. Anything higher than that generally i'd say the data isn't very consistent.