HW 3/25/258 Data Distribution and Outliers

Front

What is a skewed left distribution?

Back

A skewed left distribution, or negatively skewed distribution, has a longer tail on the left side. Most data points are concentrated on the right, with fewer low values.

Front

What is a skewed right distribution?

Back

A skewed right distribution, or positively skewed distribution, has a longer tail on the right side. Most data points are concentrated on the left, with fewer high values.

Front

What is a symmetric (normal) distribution?

Back

A symmetric (normal) distribution is a bell-shaped curve where the left and right sides are mirror images. The mean, median, and mode are all equal.

Front

What does uniformly distributed mean?

Back

Uniformly distributed means that all outcomes are equally likely. The distribution has a constant probability across its range.

Front

What is the five-number summary in statistics?

Back

The five-number summary includes the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum of a dataset.

Front

How do you calculate the Interquartile Range (IQR)?

Back

IQR = Q3 - Q1. It measures the spread of the middle 50% of the data.

Front

What is the purpose of calculating the lower and upper bounds using IQR?

Back

Lower and upper bounds help identify outliers in the data. They are calculated as: Lower Bound = Q1 - 1.5(IQR), Upper Bound = Q3 + 1.5(IQR).

Front

What is an outlier?

Back

An outlier is a data point that lies outside the lower and upper bounds, indicating it is significantly different from other observations.

Front

What does it mean if data is skewed left?

Back

If data is skewed left, it means that the majority of the data points are concentrated on the right side, with a few lower values pulling the mean down.

Front

What does it mean if data is skewed right?

Back

If data is skewed right, it means that the majority of the data points are concentrated on the left side, with a few higher values pulling the mean up.