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eimsori [14]
3 years ago
7

A girl plays the same computer game lots of times.

Mathematics
1 answer:
ipn [44]3 years ago
7 0

Answer: 45%

From my common sense

If the graph line goes up, she wins.

If the graph line goes down, she loses.

1. Count the amounts of times which the graph line goes up.

(btw the first game she won because the graph line started at 1)

= 9

2. Calculate the winrate of her 20 games

= 9/20 * 100

= 45%

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A basketball player makes 70% of the free throws he shoots. Suppose that he tries 15 free throws.
Volgvan

Answer:

a.) .95

b.) The expected number of baskets is 10.50.

c.) 1.7748

Step-by-step explanation:

a.) This is a binomial distribution as there are two possibilities: makes a free throw or doesn't. This means that you can use the binomial function on a calculator to figure out the answer. Use the binomial CDF function on a calculator and the number of trials=15, probability of success=.7, lower bound=0, upper bound=7. Once you have evaluated the answer, .0500, it will need to be subtracted from1, as you want everything not included in this section. The answer to part a is thus 1-.0500=.95.

b.) The expected value is calculated by taking the total number of shots and multiplying it by the probability of making the shot: 15×.7=10.5 shots.

c.) The standard deviation of a binomial distribution can be calculated by the formula \sqrt{(sample size)(probability)(1-probability)}. Plugging in the numbers you get \sqrt{(15)(.7)(.3)}=1.7748.

8 0
3 years ago
Suppose you decided to keep flipping a coin until tails came up, at which
MAVERICK [17]

Answer:

B. 6.3%

Step-by-step explanation:

For each time that the coin is tosse, there are only two possible outcomes. Either it comes up tails, or it does not. The probability of coming up tails on a toss is independent of any other toss. 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.

Fair coin:

Equally as likely to come up heads or tails, so p = 0.5

Probability that the first tails comes up on the 4th flip of the coin?

0 tails during the first three, which is P(X = 0) when n = 3.

Tails in the fourth, with probability 0.5. So

p = 0.5P(X = 0)

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

p = 0.5P(X = 0) = 0.5*(C_{3,0}.(0.5)^{0}.(0.5)^{3}) = 0.0625

0.0625 * 100 = 6.25%

Rounding to the nearest tenth of a percent, the correct answer is:

B. 6.3%

4 0
3 years ago
. (02.07) A particular plant root grows 3.5 inches per month. How many centimeters is the plant root growing per month? (1 inch
alisha [4.7K]
3.5 divided by 2.54=1.38 cm rounded to the nearest tenths place :)
5 0
3 years ago
A circular mirror has a circumference of 507 inches. What is the
netineya [11]

Answer:

80.7 inches

Step-by-step explanation:

circumference = 2 * pi * r

2 * pi * r = 507 inches

r = (507 inches)/(2 * pi)

r = (507 inches)/(2 * 3.14159)

r = (507 inches)/(6.2832)

r = 80.7 inches

5 0
3 years ago
Adam, Chris, and jason have 2 1/2, 3 1/3, and 1/6 pounds of fish, respectively, to bring to the fish fry. how many pounds of
astraxan [27]

Answer:

7lbs

Step-by-step explanation:

5 0
3 years ago
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