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butalik [34]
3 years ago
5

lisa says that she made twice as many successful shots as sue but scored the same number of points how is this possible

Mathematics
1 answer:
sweet [91]3 years ago
4 0
Lisa could have made 2-pointers while Sue made 3-pointers.
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What are the awnsers<br><br> SHOW WORK!!<br> Please
rusak2 [61]

Answer:

Step-by-step explanation:
The rules For fractions: Multiple Denominator to Denominator and Numerator to numerator!

Ok: For number 1

3/5*1/1= 3/5

Number 2

3/4*9/4=27/16= 1 11/16

Number 3

14/21=2/3*33/7=66/21= 3 3/21= 3 1/7

Number 4

6/18*9/42= 1/3*3/14= 3/42= 1/14

Number 5

22/15*45/4= 33/2=16 1/2

Number 6

3/28* 35/6= 105/168= 5/8

Number 7

2/7*35/12=60/84=5/6

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7 0
1 year ago
The wind blew away 24 of your muffins. That was 3/4 of them! How many are left?
forsale [732]
Set up a proportion:

3/4/24 = 1/x

Cross multiply:

3/4x = 24

Divide 3/4 to both sides or multiply by its reciprocal, 4/3:

x = 24 * 4/3

x = 96/3

x = 32

So you had a total of 32 muffins, now subtract this from the amount that blew away to find out how many you have left:

32 - 24 = 8

So you have 8 muffins left.
3 0
3 years ago
A Starbucks coffee shop serves an average of 3500 customers per day, with a standard deviation of 250. What is the probability t
castortr0y [4]

Answer:

P(3300  

And we can find this probability with this difference:  

P(-0.8  

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 amount of cofee shops of a population, and for this case we know the distribution for X is given by:  

X \sim N(3500,250)  

Where \mu=3500 and \sigma=250  

We are interested on this probability  

P(3300  

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(3300  

And we can find this probability with this difference:  

P(-0.8  

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