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1.1.1 State that error bars are graphical representations of the variability of data
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Error bars are graphical representations of the variability of data.
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1.1.2 Calculate the mean and standard deviation of a set of values.
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The mean of a set of values is calculated by dividing the sum of the values by the number of values. The standard deviation is calculated by entering the data into a calculator and using the standard deviation function button.
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1.1.3 State that the term standard deviation is used to summarize the spread of values around the mean, and that 68% of the values fall within one standard deviation of the mean.
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The term standard deviation is used to summarize the spread of values around the mean, and that 68% of the values fall within one standard deviation of the mean. This rises to about 95% for +/- 2 standard deviations.
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1.1.4 Explain how the standard deviation is useful for comparing the means and spread of data between two or more samples.
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The standard deviation is used to show how the values are spread above and below the mean. A low standard deviation means that the values are closely grouped around the mean whereas a high standard deviation means that the values are widely spread. About 68% of the values fall within one standard deviation of the mean. This rises to about 95% for +/- 2 standard deviations.
We can use the standard deviation to decide weather the differences between two means is significant. If the difference between the two means is larger than that of the standard deviations then the difference between the two means is significant. If the difference between the two means is smaller than that of the standard deviation then the differences between the two means are insignificant.
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1.1.5 Deduce the significance of the differences between two sets of data using calculated values for t and the appropriate tables.
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1. enter values into calculator2. determine t3. find # of degrees of freedom4. find critical value of t and use 0.05 for P5. compare the calculated value of t with critical value
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1.1.6 Explain that the existence of a correlation does not establish that there is a casual relationship between two variables.
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1.1.6 Explain that the existence of a correlation does not establish that there is a casual relationship between two variables.
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2.1.1 Outline the cell theory.
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The cell theory states that:
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2.1.2 Discuss the evidence for the cell theory.
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When scientists started to look at the structures of organisms under the microscope they discovered that all living organisms where made up of these small units which they proceeded to call cells. When these cells were taken from tissues they were able to survive for some period of time. Nothing smaller than the cell was able to live independently and so it was concluded that the cell was the smallest unit of life. For some time, scientists thought that cells must arise from non-living material but it was eventually proven that this was not the case, instead they had to arise from pre-exsisting cells. An experiment to prove this can be done as follows:
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2.1.3 State that unicellular organisms carry out all the functions of life.
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Unicellular organisms carry out all the functions of life including metabolism, response, homeostasis, growth, reproduction and nutrition.
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2.1.4 Compare the relative sizes of molecules, cell membrane thickness, viruses, bacteria, organelles and cells, using the appropriate SI unit.
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Remember:
1 millimeter (mm) = 10-3 meters 1 micrometer (μm) = 10-3 millimeters 1 nanometer (nm) = 10-3 micrometers A molecule = 1 nm Thickness of cell membrane = 10 nm Viruses = 100 nm Bacteria = 1μm Organelles = up to 10 μm Eukaryotic cells = up to 100 μm |
2.1.5 Calculate the linear magnification of drawings and the actual size of specimens in images of known magnification.
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1 centimeter = 10-2 meters 1 millimeter = 10-3 meters 1 micrometer = 10-6 meters 1 nanometer = 10-9 meters |
2.1.6 Explain the importance of the surface area to volume ratio as a factor limiting cell size.
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Many reactions occur within the cell. Substances need to be taken into the cell to fuel these reactions and the wast products of the reactions need to be removed. When the cell increases in size so does its chemical activity. This means that more substances need to be taken in and more need to be removed. The surface area of the cell is vital for this. Surface area affects the rate at which particles can enter and exit the cell (The amount of substances that it takes up from the environment and excretes into the environment), whereas the volume affects the rate at which material are made or used within the cell, hence the chemical activity per unit of time.
As the volume of the cell increases so does the surface area however not to the same extent. When the cell gets bigger its surface area to volume ratio gets smaller. To illustrate this we can use three different cubes. The first cube has a side of 1 cm, the second 3 cm and the third 4 cm. If we calculate the surface area to volume ratio we get:
Cube 1
Surface area: 6 sides x 12 = 6 cm2 Volume: 13 = 1 cm3 Ratio = 6:1 Cube 2 Surface area: 6 sides x 32 = 54 cm2 Volume: 33 = 27 cm3 Ratio = 2:1 Cube 3 Surface area: 6 sides x 42 = 96 cm2 Volume : 43 = 64 cm3 Ratio = 1.5:1 As we can see the cube with the largest surface area and volume has the smallest surface area to volume ratio. If the surface area to volume ratio gets too small then substances won’t be able to enter the cell fast enough to fuel the reactions and wast products will start to accumulate within the cell as they will be produced faster than they can be excreted. In addition, cells will not be able to lose heat fast enough and so may overheat. Therefor the surface area to volume ratio is very important for a cell. |
2.1.7 State that multicellular organisms show emergent properties.
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Multicellular organisms show emergent properties. For example: cells form tissues, tissues form organs, organs form organ systems and organ systems form multicellular organisms. The idea is that the whole is greater than the composition of its parts. For example your lungs are made of many cells. However, the cells by themselves aren’t much use. It is the many cells working as a unit that allow the lungs to perform their function.
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2.1.8 Explain that cells in multicellular organisms differentiate to carry out specialized functions by expressing some of their genes but not others.
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Every cell in a multicellular organisms contains all the genes of that organism. However, the genes that are activated vary from cell to cell. The reason we have different types of cells in our body (the cells in your eyes are not the same as the ones that make up your hair) is because different genes are activated in different cells. For example, the gene that produces keratin will be active in hair and nail cells. Keratin is the protein which makes up hair and nails. Genes encode for proteins and the proteins affect the cell’s structure and function so that the cell can specialize. This means cells develop in different ways. This is called differentiation. Differentiation depends on gene expression which is regulated mostly during transcription. It is an advantage for multicellular organisms as cells can differentiate to be more efficient unlike unicellular organisms who have to carry out all of the functions within that one cell.
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2.1.9 State that stem cells retain the capacity to divide and have the ability to differentiate along different pathways.
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Adults have stems cells in the tissues in their bodies that need to be frequently replaced such as the skin. Stem cells have the ability to produce a wide range of cells which means that they are pluripotent. They retain their ability to divide and produce many different cells by cell division and the process of differentiation. For example, one type of stem cells in the bone marrow produce a variety of red and white blood cells.
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