Data Distribution

What is the term used to describe a distribution with a typical bump shape?

• Left-skewed distribution

• Right-skewed distribution

• Uniform distribution

• Symmetric distribution

What does a left-skewed distribution indicate about the data?

• The tail is on the right

• The tail is on the left

• Data is clustered to the right

• Data is clustered to the left

Which description fits a symmetrical distribution?

• There is a long tail on the right side

• Data points are clustered to one side

• The mean, median, and mode occur at the same point

• The mean is to the left of the median

In the context of data distributions, what does 'uniform' imply?

• The distribution is symmetrical

• There are multiple peaks in the distribution

• The distribution is skewed to the right

• The distribution is skewed to the left

In a right-skewed distribution, where is the mode likely to be?

• At the lowest point of the distribution

• To the left of the mean

• To the right of the mean

• At the highest point of the distribution

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

What does it mean if a distribution is positively skewed?

• The tail extends to the left

• The tail extends to the right

• Most data points are clustered to the right

• The mode is to the left of the mean

What does a cluster in a data distribution represent?

• The highest frequency of data points

• A noticeable gap in the data

• A single data point far from others

• A group of data points closely packed together

What is an outlier in the context of data distributions?

• A cluster of data points

• The most common data point

• A data point significantly different from others

• A gap in the data

What characteristic is indicative of a gap in a data distribution?

• A high frequency of data points

• A single data point far from the rest

• A cluster of data points

• A noticeable absence of data points

How can you identify a peak in a data distribution?

• By identifying the highest frequency of data points

• By locating the data point farthest from the rest

• By observing a gap in the data

• By finding the lowest frequency of data points