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sladkih [1.3K]
3 years ago
7

In 2006 the state of nevada had two area codes how many phone numbers could nevada accommodate if the first digi cannot be zero

or a one
Mathematics
1 answer:
Aleks04 [339]3 years ago
3 0
Answer: There are 16 million different phone numbers possible. 

First, let's find the number of possible phone numbers without the area code. There are 7 numbers in a phone number. There are 10 digits for each position. However, the first one can't be 1 or 0, so there are only 8 options.

Multiply the possibilities to find the total number.

8 x 10 x 10 x 10 x 10 x 10 x 10 = 8,000,000

Since, there are 2 different area codes, just multiply 8 million by 2 to get 16 million.
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Kaylee drove 75.5 miles in 54 minutes,if she continues to drive at the same rate, how long will it take her to drive 250 miles?
Crazy boy [7]

Answer:

179 minutes

Step-by-step explanation:

  1. Divide both sides by 75.5 to see how many minutes it would take to drive 1 mile. (54 / 75.5) =108/151
  2. She can drive 1 mile in 108/151 minutes
  3. Times by 250. (108/151 * 250) 178.8
  4. 179 to nearest minute
7 0
3 years ago
Negative 4 equals r/20 minus 5
levacccp [35]

Answer: r = - 20

Step-by-step explanation:

-4 = \frac{r}{20} - 5

\frac{r}{20} = 4-5

\frac{r}{20}=-1

\frac{r}{20}*20 = -1 * 20

r = -20

5 0
3 years ago
The account charged $35 for the first hour of work and $23 for each hour after that.
defon

Answer:

5 hours

Step-by-step explanation:

127 - 35 = 92

92 / 23 = 4

4 + 1 = 5

4 0
3 years ago
When coverting centimeters to inches,do you multiply or divide by 2.54?Explain. If someone Explains and gets it correct tell me
sukhopar [10]

Answer:

Divide by 2.54

Step-by-step explanation:

Because a centimeter is smaller than an inch, you have to divide by 2.54 when converting from cm to inches.

7 0
2 years ago
For a population with an unknown distribution, the form of the sampling distribution of the sample mean is _____.a. exactly norm
maxonik [38]

Answer:

Approximately normal for large sample sizes

Step-by-step explanation:

The Central Limit Theorem estabilishes 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.

In this question:

The distribution is unknown, so the sampling distribution will only be approximately normal when n is at least 30.

So the correct answer should be:

Approximately normal for large sample sizes

7 0
3 years ago
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