P values | P means probability. Therefore, it represents the probability of an event occurring. It evaluates how good the data supports the null hypothesis.
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CI | The CI is a value that we are fairly certain our sample mean lies within. Normally measured at 95%. If samples were taken on numerous occasions, we would expect that 95% would contain the sample mean. Five per cent of the intervals would not contain the mean.
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Correlation coefficients | The correlation coefficient measures the strength and direction of the relationship between two variables. The range of values for the correlation coefficient (called r) is between −1.0 and 1.0.
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Mean | The mean, often called the average, is a measure of central tendency. It is the sum of all the values in a data set divided by the number of samples. For example, if this is a data set: 1, 1, 2, 2, 2, 2, 3, 3, 4, 4, 5, 5, 5 the mean is ‘3’ (39/13). It is useful in describing the sample characteristics such as age. |
Mode | The mode is a measure of central tendency (average). It is the value that appears the most. For example, if this is a data set: 1, 1, 2, 2, 2, 2, 3, 3, 4, 4, 5, 5, 5 the mode is ‘2’. There can be more than one mode which is known as bimodal.
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Median | The median is a measure of central tendency (average). It is the middle value in a data set arranged in numerical order. For example, if this is a data set: 1, 1, 2, 2, 2, 2, 3, 3, 4, 4, 5, 5, 5 the median (middle) number is 3. You have as many numbers on one side than the other of the median number.
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SD | The SD is a measure of how your data are spread around the mean.
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