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TopicAS #Assessment Statement (AS)Command TermNotes/Need to KnowPage in Text
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Statistical6.1.1Outline that error bars are a graphical representation of the variability of data.OutlineOnly standard deviation needs to be considered.

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Statistical6.1.2Calculate the mean and standard deviation of a set of valuesCalculateStudents should specify the sample standard deviation, not the population standard deviation.

Students will not be expected to know the formulas for calculating these statistics. They will be expected to use the statistics function of a graphic display or scientific calculator.
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Statistical6.1.3State the statistical standard deviation is used to summarize he spread of values around the mean, and that within a normal distribution approximately 68% and 95% of the values fall within plus or minus one or two standard deviations respectively.StateFor normally distributed data, about 68% of all values lie within ±1 standard deviation of the mean. This rises to about 95% for ±2 standard deviations
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Statistical6.1.4Explain how the standard deviation is useful for comparing the means and the spread of data between two or more samples.ExplainA small standard deviation indicates that the data is clustered closely around the mean value. Conversely, a large standard deviation indicates a wider spread around the mean.
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Statistical6.1.5Outline the meaning of coefficient of variationOutlineCoefficient of variation is the ratio of the standard deviation to the mean expressed as a percentage.
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Statistical6.1.6Deduce the significance of the difference between two sets of data using calculated values for t and the appropriate tables.DeduceFor the t-test to be applied, ideally the data should have a normal distribution and a sample size of at least 10. The t-test can be used to compare two sets of data and measure the amount of overlap. Students will not be expected to calculate values of t. Only two-tailed, paired and unpaired t-tests are expected.
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Statistical6.1.7Explain that the existence of a correlation does not establish that there is a causal relationship between two variables.Explain
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