The reflection transformation in the question is a rigid transformation,
therefore, the image and the preimage are congruent.
The statements that are true are;
Reasons:
The given parameter are;
Triangle ΔABC is reflected across the line 2·X, to map onto triangle ΔRST
Required:
To select the true statements
Solution:
A reflection is a rigid transformation, therefore, the distance between corresponding points on the image and the preimage are equal.
Therefore;
AB = RS
BC = ST
AC = RT
Given that the image formed by a reflection is congruent to the preimage, we have;
ΔABC ≅ ΔRST
∠ABC ≅ ∠RST
m∠ABC = m∠RST by the definition of congruency
∠BCA ≅ ∠STR
m∠BCA = m∠STR by the definition of congruency
∠BAC ≅ ∠SRT
m∠BAC = m∠SRT by the definition of congruency
Therefore, the true statements are;
- <u>AB = RS</u>; Image formed by rigid transformation
- <u>∠ABC ~ ∠RST</u>; Definition of similarity
- <u>ΔABC = ΔRST</u>; By definition of congruency
- <u>m∠BAC = m∠SRT</u>; by the definition of congruency
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Answer :
It is D because you have to subtract 4.73 from both sides in order to isolate the y by itself and get the answer which is 3.27
Step-by-step explanation:
Answer:
8.5 ft.
Step-by-step explanation:
We'll use this right triangular prism volume formula: base area x height = volume
base area = ?
length = 10.8
volume = 91.8
base area x 10.8 = 91.8
Divide both sides by 10.8
base area x 10.8/10.8 = 91.8/10.8
base area = 8.5
Answer:
Median
Step-by-step explanation:
The measure of central tendency is used to represent an entire group of data with a common single number. There are three types of measure of central tendency, the mean , the median and the mode. Our focus here is on the median because in any skewed dataset, The median is the best form for a skewed type of distribution. The median is the middle number in an ordered set of data.
In a skewed type of distribution, the mode is the highest point of the distribution. In the measure of central tendency, the mean is mostly influenced by the outliers and it is pulled towards to the tail region of the distribution.
Answer:
1. c 2. c 3. b
Step-by-step explanation:
but im not sure
