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Solnce55 [7]
3 years ago
6

Billy is ordering 7 identical sandwiches and a drink. The drink costs $2.5 and the entire order costs $140.5. Write an equation

you can use to find the price of a sandwich.
Mathematics
1 answer:
Finger [1]3 years ago
6 0

Answer:  $17.92/sandwich

Step-by-step explanation:

Let S be the price of a sandwich ($/sandwich).

7S is the total cost of the sandwiches.  Add a drink for $2.50 to find the total cost, which we are told comes to $140.50

7S + $2.50 = $140.50

7S = $138

S = $19.7143

It is odd that this includes a fraction of a single penny (0.43 cents).  Something is incorrect in the data given, since this should equal a whole number.  For now, I'll round up to $19.72.  The additional 7*($0.0043) = 4 cents will be treated as a tip.

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Answer:

Step-by-step explanation:

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3 years ago
Karen has 1/6 of her drink left and Michelle has 2/16 of hers left. Who has more?
Trava [24]
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This is because she has 1/6 of her drink left,while Michelle has 2/16, or 1/8 of her drink left.

Since 1/6> 1/8, Karen has more of her drink left

Hope this helps :)
5 0
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A recipe for cake for 3/4 cup of sugar and 2 cups of flour. How much sugar would be needed for 1 cup of flour
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Step-by-step explanation:

32 tablespoons of sugar.

3 0
3 years ago
Number 15 asap please
r-ruslan [8.4K]
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8 0
3 years ago
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 34 orders that were not accurate among 391 ord
Nady [450]

Answer: Yes , the accuracy rate appear to be​ acceptable .

Step-by-step explanation:

Let p be the population proportion of the orders that were not accurate .

Then according to the claim we have ,

H_0:p=0.10\\\\ H_a:p\neq0.10

Since the alternative hypothesis is two-tailed so the hypothesis test is a  two-tailed test.

For sample ,

n = 391

Proportion of  the orders that were not accurate =\hat{p}=\dfrac{34}{391}\approx0.087

Test statistics for population proportion :-

z=\dfrac{\hat{p}-p}{\sqrt{\dfrac{p(1-p)}{n}}}\\\\=\dfrac{0.087-0.10}{\sqrt{\dfrac{0.10(0.90)}{391}}}\approx-0.86

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The p-value : 2(z>-0.86)=0.389789\approx0.39

Since the p-value is greater that the significance level (0.05), so we do not reject the null hypothesis.

Hence, we conclude that the accuracy rate appear to be​ acceptable.

4 0
3 years ago
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