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Oliga [24]
3 years ago
7

You and your friends order a meal for $149.58. How much should you leave (including tip) if you want to leave a 18% tip?

Mathematics
2 answers:
melamori03 [73]3 years ago
6 0

Answer:

We will leave $176.50 which includes 18% the tip.

Step-by-step explanation:

Cost of the meal ordered = $149.58

Percentage of tip to be given = 18% of Cost of the meal ordered

=  18% of $149.58

Amount of tip to be given = =\frac{18}{100}\times \$149.58=\$26.92

Total amount given by us:

= $149.58 + $26.92 = $176.50

melisa1 [442]3 years ago
5 0

Answer:

You should leave $176.50

Step-by-step explanation:

In order to find this, multiply the bill amount by the tip percentage to get the tip amount.

$149.58 * 18% = $26.92

And now add the tip amount to the bill amount.

$26.92 + $149.58 = $176.50

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How many times does seven go into three hundred ninety four
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Answer: 56 times.

Step-by-step explanation:

394/7 = 56.3

56 * 7 = 392

392 + 7 = 399

399 is more than 394, therefore the answer is 56.

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Find the slope of the line?<br> the slope is____
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2 years ago
Kayla wants to pick the same number of books in 6 boxes.
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For a taxi driver, which measures must be accurate? Check all that apply.
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3 years ago
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Listed below are the overhead widths​ (in cm) of seals measured from photographs and the weights​ (in kg) of the seals. Construc
Anarel [89]

Answer and Step-by-step explanation: Scaterplot is a type of graphic which shows the relationship between to variables. In this question, you want to determine if there is a linear relationship between overhead widths of seals and the weights. So, the hypothesis are:

H₀: no linear correlation;

H₁: there is linear correlation;

In this hypothesis test, to reject H₀, the correlation coefficient r of the data set has to be bigger than the critical value from the table.

With α = 0.05 and n = 6, the critical value is 0.811.

The linear correlation is calculated as:

r = n∑xy - ∑x.∑y / √[n∑x² - (∑x)²] [n∑y² - (∑y)²]

r = \frac{6.9632 - 51.1108}{\sqrt{6.439 - (51^{2} )}.6.14482 - (1108^{2} ) }

r = 0.9485

Since r is bigger than the critical value, H₀ is rejected, which means there is enough evidence to conclude that there is linear correlation between overhead widths and the weights.

In the attachments is the scaterplot of the measurements, also showing the relationship.

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3 years ago
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