Q5(b). Identify the shape of the distribution: Skewed Right

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Q5(b). Identify the shape of the distribution: Skewed Right
The prompt asks you to identify the shape of a distribution, specifically noting a right-skewed (skewed right) pattern. However, the provided data shows no answer options to choose from. Without listed choices, we cannot evaluate or compare alternatives, which means we cannot perform option-by-option analysis as requested.

To understand the concept in isolation: a right-skewed (skewed right) distribution typically features a longer tail extending toward higher values on the right side of the distribution. In a histogram, most data cluster on the left, with a few exceptionally large values pulling the mean to the right of the median. Visually, the peak (mode/median) tends to be to the left of the mean in such distributions.

If options were present, you would assess each one for alignment with characteristics of right-skewness: whether it describes a longer tail on the right, whether central tendency measures follow the expected order (mode <= median <= mean), and whether the shape matches the typical asymmetric pattern. You would also watch for statements that incorrectly describe symmetry, left-skewness (tail to the left), or normal/approximately symmetric shapes.

In summary, with the current missing options, the core concept is the identification of a distribution whose right tail is longer than the left, leading to the mean being greater than the median. If you provide the answer choices, I can analyze each one and explain why the correct option matches right-skewness and why the others do not.

STAT_008_A01_25U Lab #9

Q5(b). Identify the shape of the distribution: Skewed Right

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STAT_008_A01_25U Lab #9

Q5(b). Identify the shape of the distribution: Skewed Right

View Explanation

Log in for full answers

Similar Questions

偏度衡量数值分布的对称性，不对称的分布称为偏斜分布。给定一个变量的直方图，下列哪种偏度类型最能描述该分布？

In a right-skewed distribution

Histograms (1 mark)Which of the following statements about the following histogram of data points in 'y' is true:[Fill in the blank]

If the shape of a distribution is skewed, with a long tail projecting longer to the left than to the right, how would the distribution be skewed?​

What is population skew?

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If the shape of a distribution is skewed, with a long tail projecting longer to the left than to the right, how would the distribution be skewed?