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Leya [2.2K]
3 years ago
8

The path of a kicked soccer ball can be modeled by the function 2 f x x x ( ) 26 2    , where x is the horizontal distance (i

n meters) and f x( ) is the height (in meters). if the height is 2 meters, what is the horizontal distance?
Mathematics
1 answer:
Helga [31]3 years ago
5 0
The distance is 26 because 26x2x2x7x5 you see now?
You might be interested in
50% of a number is x. What is 100% of the number? Assume x > 0.
raketka [301]

Answer:

2x > 0

Step-by-step explanation:

\frac{50}{100} :\frac{x}{y}

50 × y = x × 100

50y = 100x

50y ÷ 50 = 100x ÷ 50

y = 2x

7 0
3 years ago
62% of owned dogs in the United States are spayed or neutered. Round your answers to four decimal places. If 48 owned dogs are r
dedylja [7]

Answer:

a) 0.1180 = 11.80% probability that exactly 30 of them are spayed or neutered.

b) 0.8665 = 86.65% probability that at most 33 of them are spayed or neutered.

c) 0.4129 = 41.29% probability that at least 31 of them are spayed or neutered.

d) 0.5557 = 55.57% probability that between 24 and 30 of them are spayed or neutered.

Step-by-step explanation:

To solve this question, we use the binomial probability distribution, and also it's approximation to the normal distribution.

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 expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

62% of owned dogs in the United States are spayed or neutered.

This means that p = 0.62

48 owned dogs are randomly selected

This means that n = 48

Mean and standard deviation, for the approximation:

\mu = E(x) = np = 48*0.62 = 29.76

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{48*0.62*0.38} = 3.36

a. Exactly 30 of them are spayed or neutered.

This is P(X = 30), which is not necessary the use of the approximation.

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

P(X = 30) = C_{48,30}.(0.62)^{30}.(0.38)^{18} = 0.1180

0.1180 = 11.80% probability that exactly 30 of them are spayed or neutered.

b. At most 33 of them are spayed or neutered.

Now we use the approximation. This is, using continuity correction, P(X \leq 33 + 0.5) = P(X \leq 33.5), which is the pvalue of Z when X = 33.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{33.5 - 29.76}{3.36}

Z = 1.11

Z = 1.11 has a pvalue of 0.8665

0.8665 = 86.65% probability that at most 33 of them are spayed or neutered.

c. At least 31 of them are spayed or neutered.

Using continuity correction, this is P(X \geq 31 - 0.5) = P(X \geq 30.5), which is 1 subtracted by the pvalue of Z when X = 30.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{30.5 - 29.76}{3.36}

Z = 0.22

Z = 0.22 has a pvalue of 0.5871

1 - 0.5871 = 0.4129

0.4129 = 41.29% probability that at least 31 of them are spayed or neutered.

d. Between 24 and 30 (including 24 and 30) of them are spayed or neutered.

This is, using continuity correction, P(24 - 0.5 \leq X \leq 30 + 0.5) = P(23.5 \leq X \leq 30.5), which is the pvalue of Z when X = 30.5 subtracted by the pvalue of Z when X = 23.5.

X = 30.5

Z = \frac{X - \mu}{\sigma}

Z = \frac{30.5 - 29.76}{3.36}

Z = 0.22

Z = 0.22 has a pvalue of 0.5871

X = 23.5

Z = \frac{X - \mu}{\sigma}

Z = \frac{23.5 - 29.76}{3.36}

Z = -1.86

Z = -1.86 has a pvalue of 0.0314

0.5871 - 0.0314 = 0.5557

0.5557 = 55.57% probability that between 24 and 30 of them are spayed or neutered.

8 0
3 years ago
Find the value of the expression 8x↑3 if: x=3
NeX [460]

Answer:

216

Step-by-step explanation:

8x³

Put x as 3 in the expression.

8(3)³

Solve the power.

8(27)

Multiply.

= 216

6 0
3 years ago
1 point
Reika [66]

Answer: 2x-y=15

Step-by-step explanation: can u be more detailin

3 0
2 years ago
The Atlanta Braves baseball team has a mean batting average of 250 with a standard deviation of 20. Assume the batting averages
nignag [31]

Answer:

68 %

Step-by-step explanation:

Since we have our mean x = 250 and standard deviation σ = 20, we need to find how many standard deviations away the values 230 and 270 are.

Note x - σ = 250 - 20 = 230 and x + σ = 250 + 20 = 270

The values are one standard deviation away.

So, the values between 230 and 270 lie in the range x - σ to x + σ.

Since the batting averages are approximately normally distributed and for a normal distribution, 68 % of the values lie in the range x - σ to x + σ.

So, 68 % of Braves players fall between 230 and 270.

7 0
3 years ago
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