DSR.10.1,2Compare & Contrast Data Distributions

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What is the interquartile range (IQR)?

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The interquartile range (IQR) is a measure of statistical dispersion, calculated as the difference between the third quartile (Q3) and the first quartile (Q1). It represents the range of the middle 50% of the data.

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CCSS.6.SP.B.5C

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How do you calculate the interquartile range?

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To calculate the interquartile range, first find the first quartile (Q1) and the third quartile (Q3) of the data set. Then, subtract Q1 from Q3: IQR = Q3 - Q1.

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CCSS.6.SP.B.5C

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What does a larger interquartile range indicate about a data set?

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A larger interquartile range indicates greater variability or spread in the middle 50% of the data, suggesting that the data points are more dispersed.

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CCSS.6.SP.A.3

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What is a dot plot?

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A dot plot is a simple statistical chart that consists of dots plotted above a number line, representing the frequency of data points in a data set.

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CCSS.HSS.ID.A.1

CCSS.6.SP.B.4

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How can you determine which dot plot has the greatest spread?

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To determine which dot plot has the greatest spread, compare the range of values represented in each plot. The plot with the widest range of data points has the greatest spread.

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CCSS.6.SP.A.2

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What is the significance of comparing interquartile ranges between different classes or groups?

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Comparing interquartile ranges between different classes or groups helps to understand the differences in variability and distribution of data, which can indicate differences in performance or characteristics.

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CCSS.7.SP.B.4

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What does it mean if the interquartile range is larger in one period than another?

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If the interquartile range is larger in one period than another, it means that the data in that period has greater variability among the middle 50% of the data points compared to the other period.

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CCSS.6.SP.B.5C

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What is the purpose of using quartiles in data analysis?

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Quartiles are used in data analysis to divide a data set into four equal parts, allowing for a better understanding of the distribution, spread, and central tendency of the data.

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CCSS.6.SP.B.5C

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What is the difference between range and interquartile range?

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The range is the difference between the maximum and minimum values in a data set, while the interquartile range measures the spread of the middle 50% of the data, providing a more robust measure of variability.

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CCSS.6.SP.A.3

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How does variability affect data interpretation?

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Variability affects data interpretation by influencing how representative a single measure (like the mean) is of the entire data set. High variability may indicate that the mean is not a good representation of the data.

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CCSS.6.SP.A.3