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Genrish500 [490]
3 years ago
5

HELP!!! I am taking a final exam with 65 minutes left. please help me

Mathematics
1 answer:
sweet-ann [11.9K]3 years ago
5 0

Answer:

Step-by-step explanation:

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First find the number of ft around the garden and if it took Clare 30 min to walk the entire distance divide your previous answer by 30 so you can see how many ft per minute she was walking
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Classify the following triangle based on its angle measures.
gavmur [86]

Answer:

D.) Right

Explanation:

A.) An obtuse triangle is where one of the internal angles is obtuse (greater than 90 degrees).

B.) An acute triangle is a triangle with three acute angles (less than 90°).

C.) A right triangle is where one of its interior angles is a right angle (90 degrees).

D.) An equiangular triangle is a triangle where all three interior angles are equal in measure.

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3 years ago
Whats cubed square mean?
Soloha48 [4]

Answer:

Square and cube numbers are special sequences of numbers that are linked to the property of the shape they are named after. A square number relates to the area of a square. A cube number relates to the volume of a cube.

Step-by-step explanation:

6 0
3 years ago
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What is the slope of the line 7, 0 and -5, 0
lutik1710 [3]

Answer:

Slope =  (Y2 -Y1) ÷ (X2 -X1)

Slope = (0 -0) / (-5, -7)

Slope = 0 / -12 = 0

The slope of the line is zero.  It is perfectly horizontal.


Step-by-step explanation:


6 0
3 years ago
Two faulty machines, M1 and M2, are repeatedly run synchronously in parallel (i.e., both machines execute one run, then both exe
leonid [27]

The event that either M1 or M2 fails has probability

P(M_1\text{ fails or }M_2\text{ fails})=P(M_1\text{ fails})+P(M_2\text{ fails})-P(M_1\text{ and }M_2\text{ both fail})

by the addition rule. Failure events are independent, so

P(M_1\text{ and }M_2\text{ both fail})=P(M_1\text{ fails})P(M_2\text{ fails})

so that

P(M_1\text{ fails or }M_2\text{ fails})=p_1+p_2-p_1p_2

Denote this probability by p. Then X follows a geometric distribution with this parameter p and has density

P(X=x)=\begin{cases}(1-p)^{x-1}p&\text{for }x\ge1\\0&\text{otherwise}\end{cases}

The expectation is \dfrac1p=\dfrac1{p_1+p_2-p_1p_2}.

7 0
3 years ago
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