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
brainly.com/question/2962546
#SPJ4
Answer:
<AOC
<AOB
<BOC
Step-by-step explanation:
The central angles are formed at point O, which is the center of the circle.
All the central angles are marked in the attachment.
The central angles are
: 
. This is a right angle and it is 180 degrees.
:
:
Answer:
<h3>1/4</h3>
Step-by-step explanation:
Given
amount of salamanders, = 5
amount of crayfish = 3
amount of minnows = 12
Total fish = Total outcome = 5+3+12
Total outcome = 20
Since we are looking for the probability of selecting salamanders, our expected outcome will be 5.
Probability = expected outcome/total outcome
Pr( salamanders,) = 5/20
Pr( salamanders) = 1/4
Hence the probability of selecting salamanders, is 1/4
Answer:
9. not all of them are, so false
10. true
Step-by-step explanation:
