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ruslelena [56]
3 years ago
10

Best estimate of the total spent, not including tax 6.52 + 19.89 + 21.15

Mathematics
1 answer:
maw [93]3 years ago
5 0

Answer:

47.56

Step-by-step explanation:

You might be interested in
When The Product of 15 and 40 is divided by the sum of 15 and 45 what is the quotient?
BaLLatris [955]

Answer:

10

Step-by-step explanation:

(15 x 40) / (15+40)

solve inside the parenthesis:

600/60

divide:

10

6 0
3 years ago
2/3x - 21/4 = 27/4 x=
EleoNora [17]

Answer: x=-63/73

Step-by-step explanation:

Multiply both sides by 12, Move constant to the right hand side and change its sign, Move variable to the left hand side and change its sign, collect like terms, divide both sides of the equation by -73, x=-63/73 (- 63 over 73)

6 0
3 years ago
Read 2 more answers
2) A fair coin was tossed 75 times. The coin landed on Heads 42 times and Tails 33 times. What is the experimental probability o
coldgirl [10]

Answer:

\frac{11}{25}

Step-by-step explanation:

In the experiment that was conducted the coin was tossed a total of 75 times and out of those times it only landed on tails 33 times. Therefore the experimental probability of the coin landing on tails can be calculated by the dividing the times it landed on tails by the total number of times it was tossed. Like so...

\frac{33}{75} or 0.44

This fraction can also be simplified to its simplest form of \frac{11}{25} which is obtained by dividing both the numerator and denominator by 3

5 0
3 years ago
Avery’s water bottle holds 300 milliliter. Dashawn’s container holds 3/4 as much water. How many milliliters do both containers
Nady [450]

Answer:

Both containers hold 225 ml.

Step-by-step explanation:

300/4 =75 so 1/4 is equal to 75 mL


300-75=225mL


Dashawn's water bottle holds 225mL

Hope this helps! :)


<h3>CloutAnswers</h3>
8 0
3 years ago
Read 2 more answers
You decided to throw a fair die four times.
Finger [1]

Answer:

If all you care about is whether you roll 2 or not, you get a Binomial distribution with an individual success probability 1/6. The probability of rolling 2 at least two times, is the same as the probability of not rolling 2 at zero or one time.

the answer is, 1 - bin(k=0, n=4, r=1/6) - bin(k=1, n=4, r=1/6). This evaluates to about 13%, just like your result (you just computed all three outcomes satisfying the proposition rather than the two that didn’t).

Step-by-step explanation:

7 0
2 years ago
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