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sukhopar [10]
3 years ago
13

How do I determin the slop of a line on a graph

Mathematics
1 answer:
aksik [14]3 years ago
7 0
Slope = mx+b
or 
x2-x1/y2-y21



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Solve the volume for all these figures
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Answer:

The formula for volume is length x width x height

A. 2x6x8=96 units^3

B. 1x7x4=28 units^3

C. 2x3x5= 30 units^3

D. 4x4x2= 32 units^3

E. 5x4x3= 60 units^3

Step-by-step explanation:

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Assume that a researcher measured self-esteem in 25 seventh-grade girls. The girls rated their self-esteem on a scale ranging fr
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42 would be the answer
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Which number line best represents the solution to the inequality -18x+3<48
Doss [256]

SOLUTION

Given the question in the image, the following are the solution steps to answer the question.

STEP 1: Write the given inequality

-18x+3

STEP 2: Solve for x

\begin{gathered} -18x+3\frac{-45}{18} \\ x>-\frac{5}{2} \\ x>-2.5 \end{gathered}

STEP 3: Plot the number line for that represents the final solution

Hence, the number line that best represents the final solution can be seen in the number line below:

OPTION A

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2 years ago
When is the substitution method a better method than graphing for solving a system of linear equations?
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Vasgr dgwqaesf asgeqhqethqe asgqeh
7 0
3 years ago
Your teacher will report the mean and standard deviation of the sampling distribution created by the class.
sukhopar [10]

Answer:

\hat p = \frac{\sum_{i=1}^{40} \hat p_i}{40}

\hat p = 0.493

And the deviation is given by this formula:

s_{\hat p}= \frac{\sum_{i=1}^{40} (\hat p_i - \hat p)^2}{n-1}= 0.085

And as we can see the population proportion expected for the number of heads 0.5  is very close to the mean of the sampling distribution, the error is :

\% Error = \frac{0.5-0.493}{0.5}* 100 = 1.4\%

Step-by-step explanation:

Assuming the data on the figure attached. We ar assuming that this is a sampling distribution of sample proportions of heads in 40 flips of a coin.

As we can see we have the following values:

0.25, 0.35, 0.375,0.375, 0.40,0.40,0.40, 0.425,0.425,0.425, 0.45,0.45,0.45,0.45, 0.475,0.475,0.475, 0.475,0.475, 0.50,0.50,0.50, 0.525,0.525,0.525,0.525, 0.55,0.55,0.55,0.55,0.55, 0.575,0.575,0.575 0.575, 0.575, 0.60,0.60, 0.65,0.65

And we can calculate the sample proportion with the following formula:

\hat p = \frac{\sum_{i=1}^{40} \hat p_i}{40}

\hat p = 0.493

And the deviation is given by this formula:

s_{\hat p}= \frac{\sum_{i=1}^{40} (\hat p_i - \hat p)^2}{n-1}= 0.085

And as we can see the population proportion expected for the number of heads 0.5  is very close to the mean of the sampling distribution, the error is :

\% Error = \frac{0.5-0.493}{0.5}* 100 = 1.4\%

4 0
3 years ago
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