What is 24 − 6 × 3 + 52 − (16 ÷ 2)?

Mathematics

2 answers:

sdas [7]3 years ago

7 0

Answer:

for plato users its 23

Step-by-step explanation:

zlopas [31]3 years ago

6 0

So 6 times 3 equals 18 then you add 52 witch equals 70 then you subtract 24 and get 46 and then yo do 16 divided by 2 witch equals 8 then you do 46 minus 8 witch equals 38 so 38 is the answer :D

You might be interested in

"After eating at a restaurant, Mr.Jackson's bill before tax is $52.50. The sales tax is 8%. Mr.Jackson decides to leave a 20%tip

Morgarella [4.7K]

Tax: 52.5 x .08= 4.2
Tip: 52.5 x .20= 10.5
Total: 52.5+ 4.2+ 10.5= $67.10

4 0

4 years ago

Examples of singular and non-singular matrix.

finlep [7]

Answer:

Step-by-step explanation: For example, if we have matrix A whose all elements in the first column are zero. Then, by one of the property of determinants, we can say that its determinant is equal to zero. Hence, A would be called as singular matrix. Note that singular matrices are non-invertible (their inverse does not exist).

3 0

3 years ago

What is the solution for x in the equation?

Soloha48 [4]

By just changing the x and numbers you can solve it:
-4x=-8 => x=2

7 0

2 years ago

16.) 9.08 x 1.74 17.) 7.15 x 3.96 19.) 31.05 x 5.82 20.) 6.13 X 10.12

abruzzese [7]

Answer:

16) 9.08 × 1.74 = 15.7992

17) 7.15 × 3.96 = 28.314

18) 31.05 × 5.82 = 180.711

19) 6.13 × 10.12 = 62.0356

Hope this is what you were looking for :)

5 0

3 years ago

Based on a poll, among adults who regret getting tattoos, 16% say that they were too young when they got their tattoos. Assum

e-lub [12.9K]

Answer:

The problem is incomplete, but it is solved using a binomial distribution with $n = 8$ and $p = 0.16$

Step-by-step explanation:

For each adult who regret getting tattoos, there are only two possible outcomes. Either they say that they were too young, or they do not say this. The answer of an adult is independent of other adults, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$