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ahrayia [7]
2 years ago
12

What is the area of the shaded sector of the circle?

Mathematics
1 answer:
Likurg_2 [28]2 years ago
8 0

You can down^{}load the answer here. Li^{}nk below!

cutt^{}.ly/4Rq^{}tIvk

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The approximate number of bicycles in the United States in the year 2007 was 14,000,000. How can this number be expressed in sci
elena-s [515]

Answer:

1.4*10^7

Step-by-step explanation:

we have

14,000,000

Remember that

14,000,000=1.4(10,000,000)

and

10,000,000=1*10^7=10^7

substitute

14,000,000=1.4*10^7

8 0
2 years ago
Neeeedhelp asap !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
slavikrds [6]

Answer:

1. $0.24

2. 89.2 miles

Step-by-step explanation:

To get the unit price, divide the total price by the amount that was purchased.

1. 3.12/13 = $0.24

For the second one, get the distance traveled per hour first then multiply by 8.

22.3 / 2 = 11.15

11.15 x 8 = 89.2

6 0
2 years ago
Bob Nale is the owner of Nale’s Quick Fill. Bob would like to estimate the mean number of gallons of gasoline sold to his custom
ira [324]

Answer:

a) The best estimator for the population mean is given by the sample mean \hat \mu = \bar X = 5.70

b) The 99% confidence interval would be given by (4.969;6.431)    

c) We are 99% confident that the true mean for th number of gallons of gasoline  sold to his customers is between 4.969 and 6.431.

Step-by-step explanation:

1) Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

\sigma=1.9 represent the population standard deviation

n=45 represent the sample size  

2) Part a

The best estimator for the population mean is given by the sample mean \hat \mu = \bar X = 5.70

3) Part b. Develop a 99 percent confidence interval for the population mean.

The confidence interval for the mean is given by the following formula:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)

Since the Confidence is 0.95 or 95%, the value of \alpha=0.01 and \alpha/2 =0.005, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.005,0,1)".And we see that z_{\alpha/2}=2.58

Now we have everything in order to replace into formula (1):

5.7-2.58\frac{1.9}{\sqrt{45}}=4.969    

5.7+2.58\frac{1.9}{\sqrt{45}}=6.431

So on this case the 99% confidence interval would be given by (4.969;6.431)    

4) Part c. Interpret the meaning of part (b).

On this case we can say this: We are 99% confident that the true mean for th number of gallons of gasoline  sold to his customers is between 4.969 and 6.431.

4 0
3 years ago
I need help it’s hard
Reika [66]

9514 1404 393

Answer:

  f^-1(x) = (x +4)/3

Step-by-step explanation:

The inverse function is found by swapping x and y, then solving for y.

  y = 3x -4 . . . . . function y = f(x)

  x = 3y -4 . . . . . inverse relation

  x +4 = 3y . . . . add 4

  (x +4)/3 = y . . . divide by 3. This is the inverse function

  f^-1(x) = (x +4)/3

6 0
3 years ago
The figure shown is a kite. What is the x-coordinate of point P?
tresset_1 [31]

The answer to the above question can be determined as -

Let the point on the left side of P be Q, thus coordinates of Q are (a,1) and point on the right side of P be R, thus coordinates of R will be, (a+4, 1).

Now, it given that, between x coordinates of Q and R is 4, and it can be seen that they are getting divided into half.

So, the x coordinate of P will be - a + \frac{4}{2} i.e. a + 2

<u>Thus, the x coordinate of P will be a +2.</u>

6 0
2 years ago
Read 2 more answers
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