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mean: 3.5i Measuring skewness: The skewness of a distribution can also be calculated using the formula: Median=3.4 Standard deviation 0.83 Skewness = \frac{3(mean - median)}{standard\ deviation} A perfect normal curve (bell-shaped) has skewness value of 0 while positive values indicate positive skewness (right-skewed) and negative values indicate negative skewness (left-skewed). Typically, values ranging between -0.5 to +0.5 indicate the distribution is approximately normal. Show how to calculate the skewness value of the unemployment rates and determine whether the data are approximately normal by using this measure. Round to 1 decimal place.

          mean: 3.5i Measuring skewness: The skewness of a distribution can also be calculated using the formula:
Median=3.4
Standard
deviation
0.83
Skewness = \frac{3(mean - median)}{standard\ deviation}
A perfect normal curve (bell-shaped) has skewness value of 0 while positive values indicate positive
skewness (right-skewed) and negative values indicate negative skewness (left-skewed). Typically,
values ranging between -0.5 to +0.5 indicate the distribution is approximately normal.
Show how to calculate the skewness value of the unemployment rates and determine whether the data
are approximately normal by using this measure. Round to 1 decimal place.

Show more…

mean: 3.5i Measuring skewness: The skewness of a distribution can also be calculated using the formula:
Median=3.4
Standard
deviation
0.83
Skewness = (3(mean - median))/(standard deviation)
A perfect normal curve (bell-shaped) has skewness value of 0 while positive values indicate positive
skewness (right-skewed) and negative values indicate negative skewness (left-skewed). Typically,
values ranging between -0.5 to +0.5 indicate the distribution is approximately normal.
Show how to calculate the skewness value of the unemployment rates and determine whether the data
are approximately normal by using this measure. Round to 1 decimal place.

Added by Jennifer W.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Trinity Steen

07/19/2020

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54), median (3.4), and standard deviation (0.83) of the distribution. Show more…

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e. Measuring skewness: The skewness of a distribution can also be calculated using the formula: mean = 3.54 median = 3.4 Standard deviation = 0.83 Skewness = (3(mean - median)) / (Standard deviation) A perfect normal curve (bell-shaped) has a skewness value of 0, while positive values indicate positive skewness (right-skewed) and negative values indicate negative skewness (left-skewed). Typically, values ranging between -0.5 to +0.5 indicate the distribution is approximately normal. To calculate the skewness value of the unemployment rates and determine whether the data are approximately normal by using this measure, we apply the formula: Skewness = (3(3.54 - 3.4)) / 0.83 Skewness ≈ 0.54 The calculated skewness value is approximately 0.54, which falls within the range of -0.5 to +0.5, indicating that the distribution is approximately normal.

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