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Maru [420]
4 years ago
6

According to the map, what region of the United States has the highest average temperatures?

Mathematics
2 answers:
expeople1 [14]4 years ago
8 0
The answer is the southeast
Sindrei [870]4 years ago
7 0

Answer:

south east

Step-by-step explanation:

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Helppp 80 points no links please
Aneli [31]

Answer:this look really hard to answer i tried everyth

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Step-by-step explanation:

4 0
3 years ago
How many times greater is the population of Illinois than the population of Alaska?
Jet001 [13]

Answer:

17 times

Step-by-step explanation:

IIIinois : 12670000

Alaska : 731545

12670000/731545=17.31

5 0
4 years ago
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How do you square a scale factor?<br> DONT COPY OFF GOOGLLE
Alinara [238K]

you have to find the scale factor by its length

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but if it is scaled then do

scale factor = larger figure dimensions ÷ smaller figure dimensions

3 0
2 years ago
25 = 4.5z + 12<br> What is the solution for z
diamong [38]

Answer:

2.89

Step-by-step explanation:

Note the equal sign, what you do to one side of the equation, you do to the other. To solve, do the opposite of PEMDAS. Isolate the variable, z.

First, subtract 12 from both sides:

25 = 4.5z + 12

25 (-12) = 4.5z + 12 (-12)

25 - 12 = 4.5z

13 = 4.5z

Isolate the variable, z. Divide 4.5 from both sides:

(13)/4.5 = (4.5z)/4.5

z = 13/4.5

z = ~2.89 (rounded).

2.89 is your answer.

~

7 0
3 years ago
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A statistician calculates that 8% of Americans own a Rolls Royce. If the statistician is right, what is the probability that the
hichkok12 [17]

Answer:

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

A statistician calculates that 8% of Americans own a Rolls Royce.

This means that p = 0.08

Sample of 595:

This means that n = 595

Mean and standard deviation:

\mu = p = 0.08

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.08*0.92}{595}} = 0.0111

What is the probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%?

Proportion above 8% + 3% = 11% or below 8% - 3% = 5%. Since the normal distribution is symmetric, these probabilities are equal, and so we find one of them and multiply by 2.

Probability the proportion is less than 5%:

P-value of Z when X = 0.05. So

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

By the Central Limit Theorem

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

Z = \frac{0.05 - 0.08}{0.0111}

Z = -2.7

Z = -2.7 has a p-value of 0.0035

2*0.0035 = 0.0070

0.007 = 0.7% probability that the proportion of Rolls Royce owners in a sample of 595 Americans would differ from the population proportion by more than 3%

8 0
3 years ago
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