dearash1730
12.07.2019 •
Mathematics
Which statements about the sum of the interior angle measures of a triangle in euclidean and non-euclidean geometries are true? a) in euclidian geometry the sum of the interior angle measures of a triangle is 180 degrees, but in elliptical or spherical geometry the sum is less than 180 degrees. b) in euclidian geometry the sum of the interior angle measures of a triangle is 180 degrees, but in elliptical or spherical geometry the sum is greater than 180 degrees. c) in euclidian geometry the sum of the interior angle measures of a triangle is less than 180 degrees, but in hyperbolic geometry the sum is equal to 180 degrees. d) in euclidian geometry the sum of the interior angle measures of a triangle is greater than 180 degrees, but in hyperbolic geometry the sum is less than 180 degrees. in euclidian geometry the sum of the interior angle measures of a triangle is 180 degrees, but in hyperbolic geometry the sum is less than 180 degrees.
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Ответ:
Ответ:
Explained below.
Step-by-step explanation:
Histogram is a graphical display of the data provided where the height of the bars represents the frequency of the values in a specific range.
The histograms can be used to draw conclusions about the shape of the distribution of the data provided.
A distribution is known as to be skewed to the right, or positively skewed, when maximum of the data are collected on the left of the distribution.In the histogram, if maximum of the data-values are collected on the left of the chart then the distribution is positively skewed.
A distribution is known as to be skewed to the left, or negatively skewed, when maximum of the data are collected on the right of the distribution.In the histogram, if maximum of the data-values are collected on the right of the chart then the distribution is negatively skewed.
A distribution is known as to be symmetric, when maximum of the data are collected on the middle of the distribution.Thus, the histograms for the fire department in two small towns : hilltown and crest view can be used to compare the shape of their distributions.