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kicyunya [14]
3 years ago
13

Help please will give brainiest

Mathematics
1 answer:
Dmitrij [34]3 years ago
5 0

Answer:

the first one

Step-by-step explanation:

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when making a peanut butter and jelly sandwich, 96% of people put the peanut butter on first. write 96% as a decimal.
ikadub [295]
Drop the percent sign so that you only have 96 then divide by 100 to get the decimal (or move the decimal place to the left two).


96% --- drop the percent
96 ----- move the decimal place over to or divide by 100


96/100
96.0


.96
3 0
2 years ago
Read 2 more answers
U/4 = 8/3<br><br>Round your answer to the nearest tenth.<br><br>u=____
rodikova [14]
Find a common denominator (12).

u/4=8/3
3u/12=32/12
Multiply each side by twelve to get rid of the denominator.
3u=32
u=1 2/3
1 and two-thirds equals 1.6666666 in decimal form, so the nearest tenth would be 1.7

4 0
3 years ago
A store pays $120 for a television. The store sells the television for $300. What is the percent of the markup
marta [7]

Answer: 150%

Step-by-step explanation:

A store buys a television for $120.

The store then sells the television for $300.

The makeup is the amount they increased the cost price by to get to the selling price.

= 300 - 120

= $180

In percentage terms it is:

= 180/120 * 100%

= 150%

8 0
3 years ago
Simplify -3i sqrt -40<br><br> Enter your answer in simplest radical form
Mariulka [41]

Answer:

Step-by-step explanation:

-3i  √(-40) = -3i √40i²    ...(i² = - 1)

                 = -3i √40 i

              -3i  √(-40)  =   3√40

6 0
3 years ago
Suppose that E and F are two events and that P(E)=0.3 and P(F|E)=0.5. What is P(E and F)?
Sergio [31]

E and F are two events and that P(E)=0.3 and P(F|E)=0.5. Thus, P(E and F)=0.15


Bayes' theorem is transforming preceding probabilities into succeeding probabilities. It is based on the principle of conditional probability. Conditional probability is the possibility that an event will occur because it is dependent on another event.

P(F|E)=P(E and F)÷P(E)

It is given that P(E)=0.3,P(F|E)=0.5

Using Bayes' formula,

P(F|E)=P(E and F)÷P(E)

Rearranging the formula,

⇒P(E and F)=P(F|E)×P(E)

Substituting the given values in the formula, we get

⇒P(E and F)=0.5×0.3

⇒P(E and F)=0.15

∴The correct answer is 0.15.

If, E and F are two events and that P(E)=0.3 and P(F|E)=0.5. Thus, P(E and F)=0.15.

Learn more about Bayes' theorem on

brainly.com/question/17010130

#SPJ1

4 0
2 years ago
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