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bearhunter [10]
2 years ago
5

How do we write a set -builder method ?​

Mathematics
1 answer:
Katena32 [7]2 years ago
8 0

Answer: 6(1,2,3)

Step-by-step explanation:

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specialty T-shirts are being sold online for $30 each plus a one-time handling fee of $2.75 . The total cost is a function of th
myrzilka [38]

30(5)+2.75=152.75

The answer is D.

30t +2.75; 152.75

5 0
3 years ago
Please help with MATH I have the answer which is ''C'' just need an explanation on how I got the answer.
Flauer [41]

Answer:

It is C

Step-by-step explanation:

because 30/200 simplifies to 3/20 and you multiply that times 17000

and get 2550

5 0
2 years ago
In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes
ale4655 [162]

Answer:

The sample mean is \bar{x}=14.371 min.

The sample standard deviation is \sigma = 18.889 min.

Step-by-step explanation:

We have the following data set:

\begin{array}{cccccccc}0.15&0.82&0.81&1.44&2.70&3.28&4.00&4.70\\4.96&6.49&7.25&8.03&8.40&12.15&31.89&32.47\\33.79&36.80&72.92&&&&&\end{array}

The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values.

The formula for the mean of a sample is

\bar{x} = \frac{{\sum}x}{n}

where, n is the number of values in the data set.

\bar{x}=\frac{0.15+0.82+0.81+1.44+2.7+3.28+4+4.7+4.96+6.49+7.25+8.03+8.4+12.15+31.89+32.47+33.79+36.80+72.92}{19}\\\\\bar{x}=14.371

The standard deviation measures how close the set of data is to the mean value of the data set. If data set have high standard deviation than the values are spread out very much. If data set have small standard deviation the data points are very close to the mean.

To find standard deviation we use the following formula

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

The mean of a sample is  \bar{x}=14.371.

Create the below table.

Find the sum of numbers in the last column to get.

\sum{\left(x_i - \overline{X}\right)^2} = 6422.0982

\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }       = \sqrt{ \frac{ 6422.0982 }{ 19 - 1} } \approx 18.889

7 0
3 years ago
Out of a total of 50 high school students, 14 plan to go to the basketball playoff game Friday night if there are 1450 students
Viefleur [7K]

Answer:

1131 students, is the best prediction.

Step-by-step explanation:

1450 divided by 50 = 29

50 - 14 = 36

36 x 29 = 1131

6 0
2 years ago
What’s the domain and range if this graph?
Kobotan [32]

Answer:

Step-by-step explanation:

4 0
3 years ago
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