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natulia [17]
4 years ago
14

A scientist observes that a zebra ran 54 yards in 135 seconds. The zebra ran at a rate of _ feet per minute

Mathematics
1 answer:
Evgen [1.6K]4 years ago
3 0
Someone asked this question before on brainly before. The answer is on this website: brainly.com/question/946010.
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Help Pls
IgorC [24]

Answer:

║∦║∵·∵°∞∴·°∵Hello Person∵·°∴∵°∞°·║∦║

Your answer should be:

A. Akela is willing to die because she missed the kill.

Step-by-step explanation:

Hope this helped!

<em>Brainliest appreciated!</em>

5 0
3 years ago
What is y - 3y please ​
tatyana61 [14]

Answer:

<u>=-2y</u>

Step-by-step explanation:

y-3y

<u>=-2y</u>

5 0
3 years ago
Simplify the rational expression. state any excluded values. 4x - 4/ x - 1
grin007 [14]
We need to simplify this expression:

\frac{4x-4}{x-1}

So, we will call this expression as:
f(x) = \frac{4x-4}{x-1}

We can write this equation like this:

f(x) = \frac{4(x-1)}{(x-1)}

So, if we simplify it, this can be written like this:

f(x) = 4 but given that the denominator can't be zero, then:
x-1 \neq 0 ∴ x \neq 1 

Therefore:
f(x) = 4 if and only if x \neq 1 
3 0
3 years ago
What is 30% of 150 show the work
melisa1 [442]

Answer:

30% of 150 is 45

Step-by-step explanation:

30% = .3 x 100

So take 30% out of its percentage form

then multiply .3 and 150

150 x 0.3 = 45

Henceforth, 30% of 150 is 45

:)

4 0
2 years ago
Read 2 more answers
Suppose 45% of the population has a college degree.
levacccp [35]

Using the normal distribution, there is a 0.2076 = 20.76% probability that the proportion of persons with a college degree will differ from the population proportion by greater than 3%.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • By the Central Limit Theorem, for a proportion p in a sample of size n, the sampling distribution of sample proportion is approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1 - p)}{n}}, as long as np \geq 10 and n(1 - p) \geq 10.

The proportion estimate and the sample size are given as follows:

p = 0.45, n = 437.

Hence the mean and the standard error are:

  • \mu = p = 0.45
  • s = \sqrt{\frac{p(1 - p)}{n}} = \sqrt{\frac{0.45(0.55)}{437}} = 0.0238

The probability that the proportion of persons with a college degree will differ from the population proportion by greater than 3% is <u>2 multiplied by the p-value of Z when X = 0.45 - 0.03 = 0.42</u>.

Hence:

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

By the Central Limit Theorem:

Z = \frac{X - \mu}{s}

Z = (0.42 - 0.45)/0.0238

Z = -1.26

Z = -1.26 has a p-value of 0.1038.

2 x 0.1038 = 0.2076.

0.2076 = 20.76% probability that the proportion of persons with a college degree will differ from the population proportion by greater than 3%.

More can be learned about the normal distribution at brainly.com/question/28159597

#SPJ1

8 0
2 years ago
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