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Describing Distributions
Math 1 Describing Distributions
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Warm-up Answer: x < -9/4
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Shape: Number of Modes One way to describe the shape of a distribution is by its number of peaks, or modes. Uniform distribution—has no mode because all data values have the same frequency.
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Shape: Any peak is considered a mode, even if all peaks do not have the same height.
A distribution with a single peak is called a single-peaked, or unimodal, distribution. A distribution with two peaks, even though not the same size, is a bimodal distribution. What is the following distribution?
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Shape: Symmetry or Skewness
A distribution is symmetric if its left half is a mirror image of its right half. A symmetric distribution with a single peak and a bell shape is known as a normal distribution.
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Shape: Symmetry or Skewness
A distribution is left-skewed (or negatively skewed) if the values are more spread out on the left, meaning that some low values are likely to be outliers. A distribution is right skewed or positively skewed if the values are more spread out on the right. It has a tail pulled toward the right.
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Outliers: Always report outliers, or data values that are distant from the rest of the observations.
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Center: For symmetric distribution, use the mean. For skewed distribution, use the median.
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Spread: When reporting the mean as a measure of center, use the standard deviation for spread. When reporting the median as a measure of center, use the IQR for spread.
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To summarize-- When describing a distribution always address SOCS: S = Shape O = Outliers C = Center S = Spread
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Class: Wait Times (minutes)
a) Fill in the following table: Class: Wait Times (minutes) Tally Frequency 0 – 9 10 – 19 20 – 29 30 – 39 40 – 49 50 – 59 60 – 69 70 – 79 80 – 89 90 – 99
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b) Construct a histogram of the data using the given wait times range as bins.
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c) Describe the distribution (SOCS).
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Independent Practice:
Work on the last problem independently.
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How many students are in the math class?
List the data in this set. Describe the distribution (SOCS).
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