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2 years ago

Really need help if correct i will mark brainliest

Mathematics

2 answers:

lisov135 [29]2 years ago

6 0

Answer:

11.375

Step-by-step explanation:

nasty-shy [4]2 years ago

5 0

Answer:

Explanation:

The amount of calculation, if done by hand, will be quite effortful to input.

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The fire department needs to rescue a man from a house. There is a large, unstable puddle below the house. The ladder needs to b

nevsk [136]

Answer: 100 feet

Step-by-step explanation:

60+40=100

5 0

2 years ago

Read 2 more answers

Write an equation for the line, given that m= 0 and the y - intercept (0, -2)

stich3 [128]

Remember that the slope intercept formula is:

y = mx + b

m is the slope

b is the y-intercept

so...

m = 0

b = -2

^^^Plug these numbers into formula

y = 0*x - 2

y = 0 - 2

y = -2

Hope this helped!

~Just a girl in love with Shawn Mendes

3 0

3 years ago

Read 2 more answers

Suppose that prices of recently sold homes in one neighborhood have a mean of $265,000 with a standard deviation of $9300. Using

Hatshy [7]

Answer:

Range = (237100, 292900)

Step-by-step explanation:

Using Chebyshevs Inequality:

$P(|X - \mu | \le k \sigma )\ge 1 -\dfrac{1}{k^2}= 0.889$

$1 -\dfrac{1}{k^2}= 0.889$

$\dfrac{1}{k^2}= 1- 0.889$

$\dfrac{1}{k^2}=0.111$

$k = \sqrt{\dfrac{1}{0.111}}$

$k \simeq 3$

Thus, 88.9% of the population is within 3 standard deviation of the mean with the Range = μ ± kσ

where;

μ = 265000

σ = 9300

Range = 265000 ± 3(9300)

Range = 265000 ± 27900

Range = (265000 - 27900, 265000 + 27900)

Range = (237100, 292900)

3 0

2 years ago

Ow to do this please help I’m 10in six grade I skip don’t no why but please help

ohaa [14]

To do this, you can just multiply across. 3 times 1 equals 3 so your numerator is 3. 2 times 4 equals 8. Then, your answer would be 3/8. Hope this helps :)

4 0

3 years ago

Read 2 more answers

Weights were recorded for all nurses at a particular hospital, the mean weight for an individual nurse was 135 lbs. with a stand

Aloiza [94]

Given:
population mean, μ =135
population standard deviation, σ = 15
sample size, n = 19

Assume a large population, say > 100,
we can reasonably assume a normal distribution, and a relatively small sample.
The use of the generally simpler formula is justified.

Estimate of sample mean
$\bar{x}=\mu=135$

Estimate of sample standard deviation
$\s=\sqrt{\frac{\sigma^2}{n}}$
$=\sqrt{\frac{15^2}{19}}=3.44124$ to 5 decimal places.

Thus, using the normal probability table,
$P(125$
$=P(\frac{125-135}{3.44124}$
$=P(-2.90593$
$=P(Z$
$=P(Z$

Therefore
The probability that the mean weight is between 125 and 130 lbs
P(125<X<130)=0.0731166-0.0018308
=0.0712858

3 0

3 years ago