In a positively skewed distribution, scores with the highest frequencies are _____.

a.

on the right side of the distribution

b.

in the middle of the distribution

c.

on the left side of the distribution

d.

represented at two distinct peaks

In a positively skewed distribution, the scores with the highest frequencies are:

**c. on the left side of the distribution**

In a positively skewed distribution (also called right-skewed), most of the data points (including the mode) are concentrated on the left side, while the tail of the distribution stretches to the right.

Would you like further clarification or details?

Here are 5 related questions to consider:

1. What is the difference between positive and negative skewness in a distribution?
2. How do mean, median, and mode relate in a positively skewed distribution?
3. What real-world examples can result in a positively skewed distribution?
4. How does skewness affect the interpretation of central tendency measures?
5. How can you detect skewness from a data set visually or statistically?

**Tip**: In a positively skewed distribution, the mean is typically higher than the median because the long tail pulls the mean to the right.

In a positively skewed distribution, scores with the highest frequencies are _____.

In this guide, learn about positively skewed distributions, where scores with the highest frequencies are concentrated on the left side of the distribution. Explore the relationship between skewness, central tendency, and the shape of data distributions, suitable for students in Grades 10-12.

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