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allochka39001 [22]
3 years ago
8

Origional price 24.50 discount18% sale price?

Mathematics
2 answers:
Lana71 [14]3 years ago
5 0
If something is discounted 18%, you are paying 82%,
100% - 18%
The easiest way to solve is to multiply by what % you're paying.

$24.50 * .82 = $20.09
Novosadov [1.4K]3 years ago
4 0
20.09 is the sale price
You might be interested in
Mrs. Nevin is making a costume for a school play. She needs a piece of fabric that is greater than 1/2 of a yard but less than 5
Bumek [7]

Answer:

4/7 yards

Step-by-step explanation:

Given that :

Required fabric is > 1/2 but < 5/8

Let required fabric = x

Then ;

Converting the fractions to decimal :

1/2 = 0.5 ; 5/8 = 0.625

0.5 < x < 0.625

3/8 yards = 0.375 ;

4/7 yards = 0.571

3/7 yards = 0.429

2/4 yards = 0.5

0.5 < 0.571 < 0.625

From the options, only 4/7 yards satisfies the condition :

5 0
3 years ago
Please help I don’t understand
JulsSmile [24]

Answer:

Vertical: G an B. Adjacent: C and F. Supplementary: A and E. Straight: A, E. Complementary:  G , B and E,A.

4 0
2 years ago
Convert 657 as binary form in computer language​
Monica [59]

Answer:

1010010001

Step-by-step explanation:

Keep dividing 657 by 2, and record the quotient and remainder

657

328,1

164,0

82,0

41,0

20,1

10,0

5,0

2,1

1,0

So chain the remainders from bottom up to get the binary number:

1010010001

Check:

1+16+128+512=657  checks.

5 0
2 years ago
The midpoint of -7 and 8 on the number line is 1/2 true or false
Phoenix [80]

Answer:

True

Step-by-step explanation:

Yo find the midpoint between 2 points x1 and x2

midpoint = (x1+x2)/2

midpoint = (-7+8)/2

midpoint = 1/2

8 0
2 years ago
A food processor packages orange juice in small jars. The weights of the filled jars are approximately normally distributed with
Ratling [72]

Answer:

P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(z

Step-by-step explanation:

Previous concepts

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".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

X \sim N(10.5,0.3)  

Where \mu=10.5 and \sigma=0.3

We are interested on this probability

P(X>10.983)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>10.983)=P(\frac{X-\mu}{\sigma}>\frac{10.983-\mu}{\sigma})=P(Z>\frac{10.983-10.5}{0.3})=P(z>1.61)

And we can find this probability using the complement rule and with excel or the normal standard table:

P(z>1.61)=1-P(z

8 0
3 years ago
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