M3 T1&T2 Test Review Scatterplots, M.A.D., Random Samples

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What is Mean Absolute Deviation (M.A.D.)?

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Mean Absolute Deviation (M.A.D.) is a measure of the dispersion of a set of data points. It represents the average distance between each data point and the mean of the data set.

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How do you calculate the Mean Absolute Deviation?

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1. Find the mean of the data set. 2. Calculate the distance of each data point from the mean. 3. Find the mean of these distances.

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What does a positive correlation indicate?

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A positive correlation indicates that as one variable increases, the other variable also increases.

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What does a negative correlation indicate?

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A negative correlation indicates that as one variable increases, the other variable decreases.

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What does no correlation mean?

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No correlation means that there is no predictable relationship between the two variables.

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What is a scatterplot?

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A scatterplot is a graph that displays values for typically two variables for a set of data. Each point represents an observation.

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What is the purpose of using random samples in statistics?

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Random samples are used to ensure that every individual has an equal chance of being selected, which helps to eliminate bias and allows for generalization of results.

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What is the correlation coefficient?

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The correlation coefficient is a numerical measure of the strength and direction of a relationship between two variables, ranging from -1 to 1.

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What does a correlation coefficient of 1 indicate?

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A correlation coefficient of 1 indicates a perfect positive correlation between two variables.

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What does a correlation coefficient of -1 indicate?

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A correlation coefficient of -1 indicates a perfect negative correlation between two variables.