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solong [7]
3 years ago
5

The recommended weight of a soccer ball is 430 grams. The actual weight is allowed to vary by up to 20 grams.

Mathematics
1 answer:
Stella [2.4K]3 years ago
6 0
The recommended weight of a soccer ball is 430 grams. The actual weight is allowed to vary by up to 20 grams.
a. Write and solve an absolute value equation to find the minimum and maximum acceptable soccer ball weights.
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PLEASE HELP!!!!! BRAINLIEST!! I will give brainliest if you answer, I will also give brainliest ON ALL QUESTIONS!! if you go to
Hunter-Best [27]

Answer:

Destributive

Combine Like Terms

Addition Property of Equality and Subtraction Property of Equality

Combine Like Terms

Division Property of Equality

(I'm assuming the ":" in the first equation is a typo)

Step-by-step explanation:

4 0
3 years ago
The following data show the number of hours per day 12 adults spent in front of screens watching​ television-related content. 1.
Oksanka [162]

Answer:

99% Confidence interval:  (2.9,6.7)    

Step-by-step explanation:

We are given the following data set:

1.8, 4.7, 4.1, 5.2, 7.6, 7.3, 5.7, 3.2, 5.4, 1.9, 2.7, 8.1

Formula:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.  

Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}

\bar{x} =\displaystyle\frac{57.7}{12} = 4.8

Sum of squares of differences = 51.18

s = \sqrt{\dfrac{51.18}{11}} = 2.16

99% Confidence interval:  

\bar{x} \pm t_{critical}\displaystyle\frac{s}{\sqrt{n}}  

Putting the values, we get,  

t_{critical}\text{ at degree of freedom 11 and}~\alpha_{0.01} = \pm 3.106  

4.8 \pm 3.106(\dfrac{2.16}{\sqrt{12}} )\\\\ = 4.8 \pm 1.937 \\\\= (2.863,6.737)\approx (2.9,6.7)  

(2.9,6.7) is the required 99% confidence interval for average number of hours per day adults spend in front of screens watching​ television-related content.

4 0
3 years ago
The estimated regression equation by least squares method minimizes the sum of the Group of answer choices Absolute deviations b
ICE Princess25 [194]

Answer:

Squared differences between actual and predicted y

Step-by-step explanation:

The least squares regression method used in predictive modeling for linear regression models produces a best fit line which will minimize the square of the mean difference between the actual and projected or predicted values of the dependent, y variable. Hence, the when the sum of the squared value of the difference between the actual and predicted values (residual) are taken, the fit which gives the minimum sum of squared value is the best fit line upon which the estimated regression equation is based.

4 0
3 years ago
What is 8 divided by 1 4/5
Nostrana [21]

Answer:

4 4/9

Step-by-step explanation:

8/ 1 4/5=  8/1* 5/9= 40/9 = 4 4/9

6 0
2 years ago
What is the rate of change of the function? On a coordinate plane, a line with negative slope goes through points (0, 1) and (1,
Blababa [14]

Answer:

-2

Step-by-step explanation:

slope: (y² - y¹) / (x² - x¹)

(-1 - 1) / (1 - 0) = -2 / 1 = -2

y = -2x + b

plug in an (x, y) value to find b

1 = -2(0) + b

1 = -2 + b

b = 3

y = -2x + 3

rate of change is -2

4 0
2 years ago
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