Data Analysis review

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What is an independent variable?

Back

An independent variable is a variable that is manipulated or changed in an experiment to test its effects on the dependent variable. In the context of walking to school, the distance from school is the independent variable.

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What are measures of center?

Back

Measures of center are statistical values that represent the center point or typical value of a dataset. The most common measures of center are mean, median, and mode.

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How do you calculate the Mean Absolute Deviation (MAD)?

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To calculate the MAD, find the mean of the dataset, then calculate the absolute differences between each data point and the mean, and finally find the average of those absolute differences.

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What does a scatterplot represent?

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A scatterplot is a graphical representation of two variables, showing how much one variable is affected by another. It helps to visualize relationships and trends between the variables.

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How do you find the median of a dataset?

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To find the median, arrange the numbers in ascending order and identify the middle number. If there is an even number of observations, the median is the average of the two middle numbers.

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What is the difference between mean and median?

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The mean is the average of all data points, while the median is the middle value when the data points are arranged in order. The mean can be affected by outliers, whereas the median is more robust.

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What is a dependent variable?

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A dependent variable is the variable that is measured or tested in an experiment. It is affected by changes in the independent variable.

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What is the purpose of using measures of center in data analysis?

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Measures of center help summarize a dataset with a single value that represents the entire set, making it easier to understand and compare different datasets.

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What does it mean if a scatterplot shows a negative correlation?

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A negative correlation in a scatterplot indicates that as one variable increases, the other variable tends to decrease.

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How do you interpret the results of a scatterplot?

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To interpret a scatterplot, look for patterns, trends, and correlations between the two variables. Identify if the relationship is positive, negative, or if there is no correlation.