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Ad libitum [116K]
2 years ago
9

A bundled computer package costs $760.50. There is an 8 percent convenience fee for assembling the package. How much will the co

mputer cost, with assembly?
Mathematics
1 answer:
guajiro [1.7K]2 years ago
5 0
So we need to find 8% of 760.50 then add it to the original cost of the computer package. 
To find 8%, multiply like what is below. 

$760.50 × .08 = 60.84
$60.84 is 8% of $760.50
Add both totals together to get the cost of the computer, with assembly

Answer: $821.34
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Evaluate the function rule for the given value. y = 6 · 2^x for x = -2
strojnjashka [21]

Answer:

A

Step-by-step explanation:

To evaluate, substitute x= -2 into the equation y = 6*2^x.

y = 6*2^2\\y = 6*2^(-2)\\y = 6*\frac{1}{4}\\y = \frac{3}{2}

8 0
2 years ago
Shanti wrote the predicted values for a data set using the line of best fit y = 2.55x – 3.15. She computed two of the residual v
svet-max [94.6K]
<span>Residual value is the difference between the observed value of the dependent variable (y) and the predicted value (ŷ) in a data set.

i.e. Residual value = given value - predicted value

From the table, the residual value corresponding to a has 4.1 as the given value and 4.5 as the predicted value.
Therefore, a = 4.1 - 4.5 = -0.4

Similarly, </span><span>the residual value corresponding to b has 7.2 as the given value and 7.05 as the predicted value.
Therefore, b = 7.2 - 7.05 = 0.15
</span>
Therefore, a = -0.4 and b = 0.15
4 0
2 years ago
Read 2 more answers
PLEASE HELP ME!
dezoksy [38]
Thicknesses at different point are: <span>41, 38, 36, 29, 34, 44, 46, 43, 35, 40


In increasing order: 29, 34, 35, 36, 38, 40, 41, 43, 44, 46

Median = (38+40)/2 = 39m</span>

Median thickness is 39m
5 0
2 years ago
Read 2 more answers
the performance score of 10 adults is recorded, and the results are 83 87 90 92 93 100 104 111 115 121 find the standard deviati
luda_lava [24]

Answer:

The standard deviation of the data set is \sigma = 12.7906.

Step-by-step explanation:

The Standard Deviation is a measure of how spread out numbers are. Its symbol is σ (the greek letter sigma)

To find the standard deviation of the following data set

\begin{array}{cccccccc}83&87&90&92&93&100&104&111\\115&121&&&&&&\end{array}

we use the following formula

                                             \sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{X}\right)^2 }}{n-1} }

Step 1: Find the mean \left( \overline{X} \right).

The mean of a data set is the sum of the terms divided by the total number of terms. Using math notation we have:

                                     Mean = \frac{Sum ~ of ~ terms}{Number ~ of ~ terms}

Mean = \frac{Sum ~ of ~ terms}{Number ~ of ~ terms}=\frac{83+87+90+92+93+100+104+111+115+121}{10} \\\\Mean = \frac{996}{10} =\frac{498}{5}=99.6

Step 2: Create the below table.

Step 3: Find the sum of numbers in the last column to get.

\sum{\left(x_i - \overline{X}\right)^2} = 1472.4

Step 4: Calculate σ using the above formula.

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{X}\right)^2 }}{n-1} }       = \sqrt{ \frac{ 1472.4 }{ 10 - 1} } \approx 12.7906

3 0
2 years ago
If an exponential model was used to fit the data set below, which of the following would be the best prediction for the output o
satela [25.4K]

Answer:

The equation is found to be: y = 50.6e^{0.16x}

y(20) = 1241.34

Step-by-step explanation:

The given data is:

x:   3          7         11        14          17

y: 83      142      301     450      722

Now, we find sum summation values, relevant to the formula of exponential regression model, using calculator:

∑ ln y = 27.77305, ∑x ln y = 308.1494, ∑x = 52, ∑ x² = 664

and, n = no. of data points = 5

Now, we use formulae of exponential regression model to find out values of constant:

b = (n∑x lny - ∑x ∑ln y)/[n∑x² - (∑x)²]

b = [(5)(308.1494) - (52)(27.77305)]/[(5)(664) - (52)²]

b = 0.16

Now, for a;

a = (∑ln y - b∑x)/n

Therefore,

a = [(27.77305) - (0.16)(52)]/5

a = 3.9

For, α:

α = e^a = e^3.9

α = 50.6

So, the final equation of exponential regression model is given as:

y = \alpha e^{bx}\\ y = 50.6e^{0.16x}

Now, we find value of y for x = 20:

y(20) = (50.6) e^(0.16*20)

<u>y(20) = 1241.34</u>

8 0
2 years ago
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