Assemble the proof by dragging tiles to the statements HELLPPPPPP PLEASEEEE

Mathematics

2 answers:

TEA [102]3 years ago

8 0

Answer:

See explanation

Step-by-step explanation:

1. $JK\cong LM$ - given

2. $JL\cong LN$ - definition of midpoint (the midpoint of the segment divides the segment into two congruent segments)

3. $\angle LJK\cong \angle NLM$ - corresponding angles theorem (corresponding angles theorem states: If two parallel lines are cut by a transversal, then the pairs of corresponding angles are congruent.)

4. $\triangle JLK\cong \triangle LNM$ - SAS (SAS postulate states that if two sides and the included angle of one triangle are congruent to two sides and the included angle of another triangle, then these two triangles are congruent).

solong [7]3 years ago

6 0

Step-by-step explanation:

Triangle Congruence :SAS

You might be interested in

A tree casts a 25 foot shadow. At the same time of day, a 6 foot man standing near the tree casts a 9 foot shadow. What is the a

kirza4 [7]

Ratio of height of the man to the length of the shadow = 6:9 = 2:3
Ratio of height of the tree to the length of its shadow = x:25 = 2:3
x/25 = 2/3
x = (25 x 2)/3 = 50/3 = 16.67

Therefore the approximate height of the tree to the nearest foot is 17 feet.

7 0

3 years ago

Read 2 more answers

Ashton used 12.6 gallons of gasoline to drive his car on a weekend trip. He averaged 21.5 miles per gallon. About how many miles

Advocard [28]

the answer is c

cdiwcdbbuibuiwvvbuuvvbueqvebqubepvvpqebuvrvbbruurivbpriuvbpeirubvpqieubviquebvhiebviubsidbv

4 0

3 years ago

. If IQ scores are normally distributed with a mean of 100 and a standard deviation of 5, what is the probability that a person

bulgar [2K]

Answer:

2.28% probability that a person selected at random will have an IQ of 110 or greater

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 100, \sigma = 5$