Data Distribution

Front

What does it mean for data to be skewed right?

Back

When data is skewed right, it means that the tail on the right side of the distribution is longer or fatter than the left side. This indicates that there are a number of unusually high values.

Front

What does it mean for data to be skewed left?

Back

When data is skewed left, it means that the tail on the left side of the distribution is longer or fatter than the right side. This indicates that there are a number of unusually low values.

Front

What is a symmetrical distribution?

Back

A symmetrical distribution is one where the left and right sides of the distribution are mirror images of each other. The mean, median, and mode of a symmetrical distribution are all equal.

Front

What is a peak in a data distribution?

Back

A peak in a data distribution refers to the highest point in the graph, indicating the mode or the most frequently occurring value in the dataset.

Front

What does it mean to have a cluster of data?

Back

A cluster of data refers to a group of data points that are closely packed together in a certain range, indicating a concentration of values.

Front

What is the importance of understanding data distribution?

Back

Understanding data distribution helps in analyzing patterns, making predictions, and determining the appropriate statistical methods to apply.

Front

What are the common shapes of data distributions?

Back

The common shapes of data distributions include normal (bell-shaped), skewed right, skewed left, and uniform.

Front

How can you identify a skewed distribution from a graph?

Back

A skewed distribution can be identified by observing the direction of the tail; if the tail extends to the right, it is skewed right, and if it extends to the left, it is skewed left.

Front

What is the mode in a data set?

Back

The mode is the value that appears most frequently in a data set.

Front

What is the median in a data set?

Back

The median is the middle value when the data set is ordered from least to greatest.