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3 years ago

Write an inequality relating WZ and WA

1 answer:

4 0

A. WZ > WA B. WZ ≥ WA C. WZ < WA D. WZ ≤ WA

A. is the answer

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Pls answer quick and small explanation quick for brainlessiest answer

almond37 [142]

Answer:

Your answer is C.

exponential is to the power of a value and hence c meets the requirements

6 0

3 years ago

Please show work cause I’m confused

inna [77]

The distance between ladder and bottom of the slide is 4.9 meters.

Step-by-step explanation:

Given,

Height of ladder = 1 m

Length of slide = 5 m

The ladder will serve as perpendicular and slide will serve as hypotenuse.

The distance from bottom of the slide to ladder will be base.

a = 1

c = 5

$a^2+b^2=c^2\\(1)^2+b^2=(5)^2\\1+b^2=25\\b^2=25-1\\b^2=24$

Taking square root on both sides

$\sqrt{b^2}=\sqrt{24}\\b=4.89$

Rounding to the nearest tenth

b = 4.9 meters

The distance between ladder and bottom of the slide is 4.9 meters.

Keywords: square root, base

Learn more about square root at:

#LearnwithBrainly

5 0

3 years ago

Find the distance between (-9,-5) and (4,-3)

Jlenok [28]

Answer:

15.13

Step-by-step explanation:

In the attached file

5 0

3 years ago

Read 2 more answers

Maria needs to buy 12 wine glasses. write an expression of the cost of 12 glasses at p dollars each.

irinina [24]

12p thats it because you are buying 12 glasses a the cost of p example 12 glasses for 5 dollars would be 12(5)=60

5 0

4 years ago

The weights of the fish in a certain lake are normally distributed with a mean of 11 lb and a standard deviation of 6. if 4 fish

Alexus [3.1K]

Since the sample standard deviation is now known, we use the z-score test. The formula is given as:

z= (X – μ) / (s / sqrt(n))

Where,

X = sample mean = 8.6 lb to 14.6 lb

μ = population mean = 11 lb

s = population standard deviation = 6

n = sample size = 4

1st: Calculating for z when x = 8.6 lb

z = (8.6 – 11) / (6 / sqrt4)

z = - 0.8

Using the standard distribution table for z:

Probability (x = 8.6 lb) = 0.2119

2nd: Calculating for z when x = 14.6 lb

z = (14.6 – 11) / (6 / sqrt4)

z = 1.2

Using the standard distribution table for z:

Probability (x = 14.6 lb) = 0.8849

Therefore the probability that the mean weight will be between 8.6 and 14.6 lb:

Probability (8.6 ≤ x ≤ 14.6 ) = 0.8849 - 0.2119

Probability (8.6 ≤ x ≤ 14.6 ) = 0.673 (ANSWER)

8 0

3 years ago