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SVETLANKA909090 [29]
3 years ago
11

Samantha wants to use her savings of $1150 to buy shirts and watches for her family. the total price of the shirts she bought wa

s $84. the watches cost $99 each. what is the maximum number of watches that samantha can buy with her savings? (1 point)
Mathematics
2 answers:
AURORKA [14]3 years ago
7 0
84 + 99w = 1150
99w = 1150 - 84
99w = 1066
w = 1066/99
w = 10.76......so she can buy 10 watches maximum
den301095 [7]3 years ago
3 0

Answer:

Maximum number of watches Samantha can buy equals:

10

Step-by-step explanation:

Samantha wants to use her savings of $1150 to buy shirts and watches for her family.

The total price of the shirts she bought was $84.

The watches cost $99 each.

Let she bought x watches

then, 84+99x≤1150

subtracting by 84 on both sides, we get

99x≤1066

dividing both sides by 99, we get

x≤ 10.7676

Hence, maximum number of watches Samantha can buy equals:

10

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The total bill that would be paid by Jan is equal to $43.125.

<u>Given the following data:</u>

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To determine the total bill that would be paid by Jan:

First of all, we would calculate the total cost of their dinner as follows:

Total\;cost = 18.50 + 19.00

Total cost = $37.50

Next, we would calculate the tip cost for the total cost of their dinner:

Tip\;cost = \frac{15}{100} \times 37.5\\\\Tip\;cost =0.15\times 37.5

Tip cost = $5.625

<u>For the </u><u>total bill</u><u>:</u>

Total\;bill = Total\;cost + Tip\;cost\\\\Total\;bill = 37.5 + 5.625

Total bill = $43.125.

Read more: brainly.com/question/11285399

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Instructions: Match each equations with correct type of event.
Mazyrski [523]

The question is incomplete. Below you will find the missing contents.

The correct match of events with order are,

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  • P(A)+P(B) - Mutually exclusive events
  • P(A and B)/P(A) - Conditional events
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When two events A and B are independent then,

P(A and B)=P(A).P(B)

when A and B are dependent events then,

P(A and B) = P(A) . P(B|A)

When two events A and B are mutually exclusive events then,

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Learn more about Probability of Events here -

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