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boyakko [2]
3 years ago
5

An NHL hockey player has 59 goals so far in season what are the possible numbers of additional goals the player can score to mak

e or break the NHL record of 92 goals in a season
Mathematics
1 answer:
Marysya12 [62]3 years ago
8 0

Answer:

53 by the fact NFL players use a for wheeler u Dan je e eka a f wjd r

You might be interested in
Three out of every ten dentists recommend a certain brand of fluoride toothpaste. Which assignment of random digits would be use
Len [333]

Answer:

b

Step-by-step explanation:

only b has 10 didgets. it could be a since the didgets aren't very random, but then again, i think it's b

5 0
4 years ago
4. Evaluate the expression for the given value of each variable.
Novosadov [1.4K]

Answer:

-18

Step-by-step explanation:

5a2-7-b3

5*a*2-7-b*3

5\cdot \left(-2\right)\cdot \left(2\right)-7-\left(-3\right)\cdot 3

Therefore, -18 is your answer.

Hope this helped! :)

5 0
3 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
Questions on the images
KiRa [710]

Answer: A

Step-by-step explanation:

12 x 12 = 144

39 x 39 = 1521

1521 - 144 = 1377

root 1377 = 37.1

6 0
3 years ago
Read 2 more answers
PLEASE HELP I WILL GIVE BRAINLIEST
soldi70 [24.7K]

Answer: i believe its a x=2

4 0
3 years ago
Read 2 more answers
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