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Aleonysh [2.5K]
3 years ago
15

Help pleasseee •-•

Mathematics
1 answer:
Dafna1 [17]3 years ago
3 0
The picture below shows the box plot.

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Suppose that two balanced, six sided dice are tossed repeatedly and the sum of the two uppermost faces is determined on each tos
Simora [160]

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\frac{(2/36)}{(1-(28/36))} = 1/4

Step-by-step explanation:

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I am half way between two consecutive numbers. The product of the two numbers is 650. what number am I ?
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2 years ago
arius flipped a coin 500 times and it landed heads up 300 times. What is the relative frequency of the coin landing heads up bas
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3/5

Step-by-step explanation:

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3 0
3 years ago
The probability that a certain hockey team will win any given game is 0.3723 based on their 13 year win history of 385 wins out
Whitepunk [10]

Answer:

0.1505 = 15.05% probability that the hockey team wins 6 games in November

Step-by-step explanation:

For each game, there are only two possible outcomes. Either the team wins, or it does not. The probability of winning a game is independent of winning other games. So we use the binomial probability distribution 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 a certain hockey team will win any given game is 0.3723

So p = 0.3723

12 games in November

So n = 12

What is the probability that the hockey team wins 6 games in November?

This is P(X = 6)

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

P(X = 6) = C_{12,6}.(0.3723)^{6}.(1-0.3723)^{6} = 0.1505

0.1505 = 15.05% probability that the hockey team wins 6 games in November

4 0
3 years ago
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