A histogram is better for "discrete" data and a frequency polygon is better for "continuous" data.
<h3>What is histogram?</h3>
A histogram is a data representation that looks like a bar graph and buckets a wide range of categories into columns all along horizontal x-axis.
- The numeric count or percentage of happenings in the data for every column is represented by the vertical y-axis.
- Columns can be employed to visualize data distribution patterns.
- Technical analysts use the MACD histogram in trading to making data in momentum.
- The MACD histogram columns could provide buy and sell signals earlier than the MACD and signal lines.
<h3>What is
frequency polygon?</h3>
Frequency polygons are a graphs depiction of the distribution that aids in data comprehension by utilizing a specific shape.
- Frequency polygons are comparable to histograms but are more beneficial when comparing two or more different data sets.
- The graph primarily displays cumulative frequency distribution data as a line graph.
- Frequency Polygons are a type of graph that deciphers information or data and are broadly used in statistics.
- This graphic form of data representation aids in the depiction of the data's shape and trend in a systematic and organized manner.
To know more about the histogram, here
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The given triangle is isosceles, so the two remaining angles in the triangle both have measure <em>xº</em>. The interior angles of any triangle sum to 180º, so that
58º + <em>xº</em> + <em>xº</em> = 180º
58 + 2<em>x</em> = 180
2<em>x</em> = 122
<em>x</em> = 61
Angles <em>y</em> and <em>z</em> are supplementary to angle <em>x</em>, so that
<em>xº</em> + <em>yº</em> = 180º
and
<em>xº</em> + <em>zº</em> = 180º
and consequently, <em>y</em> = <em>z</em>. In particular, we get
<em>y</em> = 180 - 61
<em>y</em> = 119
and so
<em>z</em> = 119
Step one: correspond x values and y values together
it would be: 3, 12 and 4, 16
Step two: divide
12/3 = 4 and 16/4 = 4
both numbers = 4
scale factor is 4
Answer:
use math-way
Step-by-step explanation:
