Anurse decided to run a simulation on the weights of the next 15 babies that will be born is her hospital. the simulation uses values from 5 to 10 pounds. based on the simulation results, estimate the probability of a baby being born between 7.0 and 8.0 pounds. 8.9 7.1 7.0 5.3 6.8 5.5 5.3 5.1 7.3 8.5 7.5 9.7 0.533 0.067 0.333 0.467

The probability of a baby being born between 7.0 and 8.0 pounds is; 0.333

We are given simulated weight results as;

8.9, 7.1, 7.0, 5.3, 6.8, 5.5, 5.3, 5.1, 7.3, 8.5, 7.5, 9.7

The number of weights here is;

N = 12 weights

Now, we want to find the probability of the weight of the babies being between 7 and 8.

The number of weights that fall between 7 and 8 are;

7.0, 7.1, 7.3 and 7.5.

Thus;

P(a baby being born between 7.0 and 8.0 pounds) = 4/12

P(a baby being born between 7.0 and 8.0 pounds) = 0.333

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There are 12 numbers in the list of values shown. Of this count, there are exactly four values that are between 7.0 and 8.0 (those values are: 7.1, 7.0, 7.3, 7.5)

So the empirical probability of picking a weight between 7.0 and 8.0 is 4/12 = 1/3 = 0.333 (approx)

Choice C) 0.333

the answer is d

step-by-step explanation:

the required function is .

step-by-step explanation:

from the given table it is noticed that the graph passing through (-3,7), (0,4), (3,1) and (8,-4).

it is a linear function because the value of y is decrease by one as the value of x increase by 1.

the slope of the function is

the slope of the function is -1 and the y-intercept is 4.

the slope intercept form is

where, m is slope and b is y-intercept.

therefore the required function is . the graph of this function is shown below.