## Respuesta :

A **histogram **is better for **continuous **data and a **frequency polygon **is better for **discrete **data is the correct answer.

In this question,

**Histograms **are good for showing general distributional features of dataset variables. A **histogram **is a graph that shows the **frequency **of numerical data using rectangles. The height of a rectangle represents the distribution **frequency **of a variable. It is used to locate the mode of the **frequency **distribution and not medians.

**Histograms **visualize quantitative data or numerical data. **Histograms **are good for showing general distributional features of dataset variables. It is used for data between intervals.

A** frequency polygon **is a graph constructed by using lines to join the midpoints of each interval or bin. An absolute **frequency polygon** has peaks that describe the actual number of points in the associated interval. It indicates the number of occurrences for each distinct class in the dataset.

**Frequency polygons** can be used to visualize discrete ungrouped data whereas a **histogram **can only be used to represent grouped **frequency **distributions.

Hence we can conclude that a **histogram **is better for **continuous **data and a **frequency polygon **is better for **discrete **data is the correct answer.

Learn more about **histogram **here

https://brainly.com/question/12967992

#SPJ4

The complete question is as follows

A histogram is better for _____________ data and a frequency polygon is better for ________data.

a) discrete data, continuous data

b) continuous data, discrete data

c) neither a or b are correct

d) both a and b are correct