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ella [17]
4 years ago
14

If the current temperature is 23∘ C, what is the temperature in degrees Fahrenheit?

Mathematics
1 answer:
den301095 [7]4 years ago
4 0

Answer:

73.4

Step-by-step explanation: Multiply you celsius by 9. Then take that number then by 9. then add by 32

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The sum of 6 consecutive even numbers is 126
tatyana61 [14]
Start at 16 and count up by 2 until 26.
5 0
3 years ago
9(14-5)-42 evaluate expression
Ulleksa [173]

Good evening

Answer:

<h2>39</h2><h2 />

Step-by-step explanation:

9(14-5)-42 = 9×9 - 42

                = 81 - 42

                = 39

________________

:)

8 0
3 years ago
How many meters are equivalent to 2 miles? 1.242 meters 3.22 meters 1,242 meters 3,220 meters
Deffense [45]

The exact answer would be 3218.69 meters but since you're rounding upwards, your answer would be D. 3,220 meters.

Hope this helps,

♥<em>A.W.E.</em><u><em>S.W.A.N.</em></u>♥

4 0
3 years ago
Read 2 more answers
Please help me in this and I’ll mark you BRAINYLEST
saw5 [17]

Step-by-step explanation:

Given

3 {x}^{2}  \times 4 {x}^{5}   \\  = 12 {x}^{2 + 5}  \\  = 12 {x}^{7}

Hope it will help :)❤

4 0
3 years ago
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Of the last 100 customers entering a computer shop, 25 have purchased a computer. If the classical probability assessment for co
zalisa [80]

Of the last 100 customers entering a computer shop, 25 have purchased a computer. If the classical probability assessment for computing probability is used, the probability that the next customer will purchase a computer is:

Answer: In classical probability, all the outcomes are equally likely. In this situation, the next customer can either buy the computer or not. Therefore, the probability that the next customer will purchase a computer is:

\frac{1}{2} =0.5

Here the previous outcomes will not have any impact on the new outcomes. That is the reason the probability that the next customer will purchase a computer is 0.5

Classical probability measures the likelihood of something happening. It also means that every statistical experiment will contain elements that are equally likely to happen. The example of classical probability is fair dice roll because it is equally probable that it will land on any of the 6 numbers on the die: 1, 2, 3, 4, 5, or 6.

3 0
3 years ago
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