Histograms

Front

What is a histogram?

Back

A histogram is a type of bar graph that represents the frequency distribution of numerical data. It shows how many data points fall within specified ranges (bins).

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What are bins in a histogram?

Back

Bins are the intervals or ranges into which data is grouped in a histogram. Each bin represents a range of values.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

How do you determine the height of a bar in a histogram?

Back

The height of each bar in a histogram represents the number of data points (frequency) that fall within the corresponding bin.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is the difference between a histogram and a bar graph?

Back

A histogram displays the distribution of numerical data using continuous intervals (bins), while a bar graph represents categorical data with distinct categories.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

How can you find the total number of data points in a histogram?

Back

To find the total number of data points, sum the heights of all the bars in the histogram.

Tags

CCSS.6.SP.B.5A

Front

What does it mean if a histogram is skewed to the right?

Back

A right-skewed histogram indicates that most data points are concentrated on the left side, with a few larger values extending to the right.

Front

What does it mean if a histogram is symmetric?

Back

A symmetric histogram indicates that the data is evenly distributed around the center, with similar frequencies on both sides.

Front

How do you interpret the mode from a histogram?

Back

The mode is the bin with the highest bar (frequency) in the histogram, indicating the most common value range.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

What is the purpose of using a histogram?

Back

Histograms are used to visualize the distribution of data, identify patterns, and understand the frequency of different ranges of values.

Tags

CCSS.6.SP.B.4

CCSS.HSS.ID.A.1

Front

How can you identify outliers in a histogram?

Back

Outliers can be identified as bars that are significantly lower or higher than the others, indicating data points that fall outside the expected range.