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3 years ago

Help me I'll help you back thanks emergency

Mathematics

1 answer:

Nadya [2.5K]3 years ago

5 0

The answer is 10 . a 11 .a♥☆♥☆☆

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cathi scored 6 baskets in each of her last 3 basketball games. Each basket was worth 2 points. how many points did cathi score i

jonny [76]

Answer:

p=36

Step-by-step explanation:

3(6*2)=p

3(12)=p

36=p

Sorry if its hard to understand I'm new to anwering questions on brainly

4 0

3 years ago

Which of the following is the linear parent function?

vfiekz [6]

Answer:

Step-by-step explanation:

A linear parent function is the equation y = x or f(x) = x. A parent function is the simplest equation of a function. Thus, f(x) = x is the simplest of all linear functions and that is the reason why it is called linear parent function.

8 0

3 years ago

At a game show, there are three doors marked 1, 2, and 3. A contestant is allowed to select one of three keys labeled A, B, and

sineoko [7]

Answer:

It is A

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

Sasha can mow of an acre of grass in 45 minutes. How many acres of grass does Sasha mow per hour?

AleksAgata [21]

Answer:

45 minutes =34 hour. → Sasha mows 48=12 of an acre in 44=1 hour.

Step-by-step explanation:

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