Data Analysis and Statistics Concepts

This lesson explains how to describe data distributions using terms like symmetrical, peak, cluster, and gap. It provides examples of symmetrical and non-symmetrical data sets, discusses line plots, and analyzes data using median, interquartile range, mean, and standard deviation. The lesson concludes with a summary and credits.

What term is used to describe a data distribution where the left side mirrors the right side?

• Gapped

• Asymmetrical

• Symmetrical

• Clustered

Which term refers to the most frequently occurring value in a data set?

• Peak

• Outlier

• Cluster

• Gap

What is a cluster in the context of data distributions?

• The highest data value

• An interval with no data

• A group of closely packed data values

• A single data point

How can you identify a symmetrical data set?

• By drawing a vertical line through the middle

• By identifying outliers

• By calculating the standard deviation

• By finding the mean

In a non-symmetrical data set, what does a gap represent?

• A peak

• A cluster

• An interval with no data

• The median

What is the peak value in a data set?

• The most frequent value

• The median value

• The average value

• The least frequent value

What is the median of the states visited by students in the class?

• 12

• 13

• 14

• 11

What is the interquartile range of the states visited by students?

• 3

• 4

• 1

• 2

In the states visited data set, what is the outlier value?

• 10

• 19

• 12

• 15

What is the mean cost of parasailing rides?

• 37

• 33

• 31

• 35