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4 years ago

Which is the better buy; 3 pounds for $8.31 or 5 pound for $12.95

Mathematics

2 answers:

irina1246 [14]4 years ago

5 0

I agree, definitely 5 pound for 12.95

aliya0001 [1]4 years ago

4 0

I would say 5 pounds for $12.95
Hope this helps!

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-Which expression represents the phrase "twenty-three less than a number"? (Think about this one!)

4vir4ik [10]

I believe it would be D

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3 years ago

Read 2 more answers

12. What is the probability that a point in the square below

andrew-mc [135]

Answer:

$21.5\%$

Step-by-step explanation:

we know that

The probability that a point in the square below is in the shaded region, is equal to divide the area of the shaded region by the area of the square

step 1

Find the area of the shaded region

The area is equal to the area of the square minus the area of the circle

$A=b^{2} -\pi(r)^{2}$

we have

$b=12\ cm$ ---> length side of the square

$r=12/2=6\ cm$ ----> the radius is half the diameter

assume

$\pi =3.14$

substitute

$A=12^{2} -(3.14)(6)^{2}$

$A=30.96\ cm^{2}$

step 2

Find the area of the square

$A=b^{2}$

we have

$b=12\ cm$ ---> length side of the square

substitute

$A=12^{2}=144\ cm^{2}$

step 3

Find the probability

$P=30.96/144=0.215$

Convert to percent form

$0.215*100=21.5\%$

8 0

3 years ago

56+ ? +11=94 <br> Help me

tiny-mole [99]

Answer:

? = 27

Step-by-step explanation:

56 + ? + 11 = 94

? + 67 = 94

? = 27

4 0

3 years ago

Required information An article presents a new method for timing traffic signals in heavily traveled intersections. The effectiv

Natasha2012 [34]

Answer:

$652.6-2.01\frac{311.7}{\sqrt{50}}=563.997$

$652.6+2.01\frac{311.7}{\sqrt{50}}=741.203$

So on this case the 95% confidence interval would be given by (563.997;741.203)

Step-by-step explanation:

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".

$\bar X=652.6$ represent the sample mean for the sample

$\mu$ population mean (variable of interest)

s=311.7 represent the sample standard deviation

n=50 represent the sample size

Soltuion to the problem

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

$\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}$ (1)

In order to calculate the critical value $t_{\alpha/2}$ we need to find first the degrees of freedom, given by:

$df=n-1=50-1=49$

Since the Confidence is 0.95 or 95%, the value of $\alpha=0.05$ and $\alpha/2 =0.025$ , and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,49)".And we see that $t_{\alpha/2}=2.01$