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nirvana33 [79]
3 years ago
7

Marla draws a diagonal in a rhombus to form two triangles. What term can she use to classify each triangle? Explain.

Mathematics
2 answers:
schepotkina [342]3 years ago
8 0
<span>The <u>correct answer</u> is:

C) isosceles; since a rhombus always has 4 equal sides, each triangle must have 2 equal sides.

Explanation<span>:

A rhombus does have 2 acute angles and 2 obtuse angles. If you draw the diagonal from one obtuse angle to the other, then each triangle would have all acute angles and be acute triangles.

However, if you draw the diagonal from one acute angle to the other, then each triangle would have an obtuse angle, and be obtuse triangles.

The length of the diagonal does not have to equal the length of the sides, so the triangles will not necessarily be equilateral.

However, no matter where you draw the diagonal, you will have two congruent sides in each triangle (the sides of the rhombus that form the triangle). Thus the correct answer is C).</span></span>
Dmitriy789 [7]3 years ago
4 0

Answer:

The answer is C Iscosceles since a rhombus always has 4 equal sides each triangle must have 3 sides

Step-by-step explanation:


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Evaluate: 36^(-3/2)
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Evaluating 36^(-3/2) utilizes the laws of exponents. Raising a number by a negative exponent is raising the reciprocal of the number by the exponent: 36^(-3/2) = (1/36)^(3/2).


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I hope my answer has come to your help. Thank you for posting your question here in Brainly. We hope to answer more of your questions and inquiries soon. Have a nice day ahead!

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2 years ago
A group of 54 college students from a certain liberal arts college were randomly sampled and asked about the number of alcoholic
Ket [755]

Answer:

t=\frac{5.25-4.73}{\frac{3.98}{\sqrt{54}}}=0.9601  

P-value  

First we find the degrees of freedom given by:

df = n-1= 54-1=53

Since is a two-sided test the p value would be:  

p_v =2*P(t_{53}>0.9601)=0.3414  

Step-by-step explanation:

Data given and notation  

\bar X=5.25 represent the sample mean

s=3.98 represent the sample standard deviation

n=54 sample size  

\mu_o =4.73 represent the value that we want to test  

\alpha represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean differs from 4.73, the system of hypothesis would be:  

Null hypothesis:\mu =4.73  

Alternative hypothesis:\mu \neq 4.73  

Since we know don't the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic  

We can replace in formula (1) the info given like this:  

t=\frac{5.25-4.73}{\frac{3.98}{\sqrt{54}}}=0.9601  

P-value  

First we find the degrees of freedom given by:

df = n-1= 54-1=53

Since is a two-sided test the p value would be:  

p_v =2*P(t_{53}>0.9601)=0.3414  

7 0
3 years ago
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