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3 years ago

Help me please. Best answer gets brainliest.

Mathematics

1 answer:

Lapatulllka [165]3 years ago

4 0

Answer:

3 for problem

Step-by-step explanation:

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A golf ball is hit with an initial velocity of 100 feet per second. The height of the golf ball can be represented by the equati

LenaWriter [7]

Answer:

6.25 seconds

Step-by-step explanation:

<u>Using the the equation </u>

h = 100t − 16t^2

<u>The ball hits the ground, when h = 0, solving below equation:</u>

100t − 16t^2 = 0
4t(25 - 4t) = 0
t = 0 seconds, this is the starting point when ball was hit
25 - 4t = 0 ⇒ 4t = 25 ⇒ t= 25/4 = 6.25 seconds later the ball hits the ground

5 0

3 years ago

Read 2 more answers

H(x) = −(x − 5)2 + 3

aleksandr82 [10.1K]

Max(f(x)) = f(3) = 4

Max(g(x)) = g(π/2) = 2

Max(h(x)) = h(5) = 3

Of these values, f(3) = 4 is the largest.

The function with the largest maximum is f(x).

8 0

3 years ago

Read 2 more answers

Order the following in ascending order.

fomenos

3/8 2/5 0.44 0.5 is the answer d !!

3 0

3 years ago

A jar contains four black buttons and five brown buttons. If five buttons are picked at random, what is the probability that at

lbvjy [14]

Answer:

189/572=33.042%

5 0

4 years ago

A brewery produces cans of beer that are supposed to contain exactly 12 ounces. But owing to the inevitable variation in the fil

MArishka [77]

Answer:

$T \sim N (\mu = 6*12=72 , \sigma= \sqrt{6} *0.3=0.735)$

$P(T \leq 72) = P(Z< \frac{72-72}{0.735}) = P(Z$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

Solutio to the problem

Let X the random variable that represent the amount of beer in each can of a population, and for this case we know the distribution for X is given by:

$X \sim N(12,0.3)$

Where $\mu=12$ and $\sigma=0.3$

For this case we select 6 cans and we are interested in the probability that the total would be less or equal than 72 ounces. So we need to find a distribution for the total.

The definition of sample mean is given by:

$\bar X = \frac{\sum_{i=1}^n X_i}{n} = \frac{T}{n}$