Interpret and Compare 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).

Front

What is the purpose of a stem-and-leaf plot?

Back

A stem-and-leaf plot is used to display quantitative data in a way that retains the original data values while showing the distribution. It separates each data point into a 'stem' (the leading digit) and a 'leaf' (the trailing digit).

Front

How do you interpret the height of bars in a histogram?

Back

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

Front

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

Back

A histogram displays continuous data and groups it into intervals, while a bar graph displays categorical data with separate bars for each category.

Front

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

Back

If a histogram is skewed to the right, it means that the majority of the data points are concentrated on the left side, with fewer high values stretching the tail to the right.

Front

What is the mode in a data set?

Back

The mode is the value that appears most frequently in a data set. In a histogram, it corresponds to the highest bar.

Front

How can you find the median from a histogram?

Back

To find the median from a histogram, you need to determine the cumulative frequency and locate the middle value in the data set.

Front

What is a bin in a histogram?

Back

A bin is a range of values that groups data points in a histogram. Each bin has a width and represents the frequency of data points within that range.

Front

What is the range of a data set?

Back

The range is the difference between the highest and lowest values in a data set. It gives an idea of the spread of the data.

Front

How do you calculate the percentage of data points in a specific range using a histogram?

Back

To calculate the percentage of data points in a specific range, divide the frequency of that range by the total number of data points and multiply by 100.