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Galina-37 [17]
3 years ago
8

Which estimate is the closest to actual value of (2.99548) (1.8342)?

Mathematics
2 answers:
anzhelika [568]3 years ago
6 0

Answer:

B 5.5 I had it on a exit ticket and I got it right

Step-by-step explanation:

Jet001 [13]3 years ago
4 0
The answer will be B ~5.5
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A baseball player gets 16 hits in 40 at bats. What percent of his at bats did not result
Katarina [22]

Answer:

40 percent

Step-by-step explanation:

Now percentage formula

Whatever

- - - - - - - - - - x 100

Total whatever

In this case your whatever is the hits. according to the question, if i said he had 40 hits in 40, that's a 100percent. So... Your whatever is 16, total whatever is 40

16

- - - - - - x 100

40

= 40 percent

6 0
3 years ago
4<br> 16 out of 25 is equal to what percent?
alukav5142 [94]

Answer:

64%

Step-by-step explanation:

16 divided by 25 is 0.64 then multiply by 100 to convert a decimal to a percentage which equals 64%.

8 0
3 years ago
What is the main purpose of being on offense
TiliK225 [7]
B to defend your goal
4 0
3 years ago
Let a be a non-zero rational number and be an irrational number. Is a/b rational or irrational?
vodka [1.7K]

Answer: Irrational, assuming b is irrational

Step-by-step explanation:

You didnt state what "b" is, but:

Youre dividing "a" by an irrational number. you could do something simple like 4 divided by pi. Youre going to get an irrational number

7 0
3 years ago
he probability that the San Jose Sharks will win any given game is 0.3694 based on a 13-year win history of 382 wins out of 1034
garri49 [273]

Answer:

0.0071 = 0.71% probability that the San Jose Sharks win 9 games in the upcoming month.

Step-by-step explanation:

For each game, there are only two possible outcomes. Either the Sharks win, or they do not. The probability of the Sharks winning a game is independent of any other game. This 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}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

The probability that the San Jose Sharks will win any given game is 0.3694.

This means that p = 0.3694

An upcoming monthly schedule contains 12 games.

This means that n = 12

What is the probability that the San Jose Sharks win 9 games in the upcoming month?

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

P(X = 9) = C_{12,9}.(0.3694)^{9}.(0.6306)^{3} = 0.0071

0.0071 = 0.71% probability that the San Jose Sharks win 9 games in the upcoming month.

6 0
3 years ago
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