If RT is greater than BA, which statement is true? By the converse of the hinge theorem, mC = mS. By the hinge theorem,TS > A
C. By the converse of the hinge theorem, mS > mC. By the hinge theorem, BA = RT.
2 answers:
I found the corresponding image of this problem.
Hinge theorem states "If 2 triangles have 2 sets of congruent sides, the larger included angle will have a longer side"
Converse Hinge theorem states, "<span>If the two sides of one triangle are congruent to two sides of another triangle, and the third side of the first triangle is greater than the third side of the second triangle, then the included angle of the first triangle is larger than the included angle of the second triangle."</span>
<span>By the converse of the hinge theorem, mC = mS. FALSE. EITHER ANGLE IS LARGER THAN THE OTHER
By the hinge theorem,TS > AC. FALSE. CONGRUENT SIDES BASED ON THE GIVEN IMAGE.
By the converse of the hinge theorem, mS > mC. TRUE.
By the hinge theorem, BA = RT. FALSE. 3RD SIDE OF EITHER TRIANGLE WILL BE LONGER THAN THE OTHER.
</span>
Hinge theorem states "If 2 triangles have 2 sets of congruent sides, the larger included angle will have a longer side"
Converse Hinge theorem states, "<span>If the two sides of one triangle are congruent to two sides of another triangle, and the third side of the first triangle is greater than the third side of the second triangle, then the included angle of the first triangle is larger than the included angle of the second triangle."</span>
<span>By the converse of the hinge theorem, mC = mS. FALSE. EITHER ANGLE IS LARGER THAN THE OTHER
By the hinge theorem,TS > AC. FALSE. CONGRUENT SIDES BASED ON THE GIVEN IMAGE.
By the converse of the hinge theorem, mS > mC. TRUE.
By the hinge theorem, BA = RT. FALSE. 3RD SIDE OF EITHER TRIANGLE WILL BE LONGER THAN THE OTHER.
</span>
You might be interested in
7.43: Let denote the random variable for height and
for the sample mean. Then if
is the mean of
So the probability that the difference between the sample and population means does not exceed 0.5 inch is
per the empirical or 68/95/99.7 rule.
7.44: For a sample of size <em>n</em>, the sample standard deviation would be . We want to find <em>n</em> such that
Comparing to the equation from the previous part, this means we would need
so a sample of at least 157 men would be sufficient.