Identifying measures of spread or location (average)
", "licence": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International"}, "statement": "Match each of the following with what they measure.
", "advice": "The mean is a measure of location or central tendancy. It is calcuated by summing all of the data values and dividing by the number of values.
\nThe median is a measure of location or central tendancy. It is the middle value of an ordered data set.
\nThe inter-quartile range is a measure of spread. The interquartile range is the difference between upper and lower quartiles.The lower quartile, or first quartile (Q1), is the value under which 25% of data points are found when they are arranged in increasing order. The upper quartile, or third quartile (Q3), is the value under which 75% of data points are found when arranged in increasing order. The inter-quartile range therefore gives us an idea of the middle 50% of the ordered data set.
\nThe standard deviation is a measure of spread. It measures the dispersion of a data set relative to its mean.
\nThe variance is a measure spread because it is the square of the standard deviation.
\nA p-value the probability that a particular statistical measure, such as the mean or standard deviation, of an assumed probability distribution will be greater than or equal to (or less than or equal to in some instances) observed results. A p-value is used to determine statistical significance, not measures of spread or location.
\nUse this link to find some resources which will help you revise this topic.
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