What is the m 10 50 90 180

Mathematics

2 answers:

natta225 [31]3 years ago

6 0

I would need more information to help you but taking my best guess I would say 90 good luck

steposvetlana [31]3 years ago

4 0

There is no context to this question but I’ll guess it’s 90

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Question 12(Multiple Choice Worth 1 points)

daser333 [38]

The equation of a line is y=-1/4x-7, (option 1)

<h3>What is the equation of a line? </h3>

A straight line's general equation is y = mx + c, where m denotes the gradient and y = c denotes the point at which the line crosses the y-axis.

<h3>How do you find the equation of a line?</h3>

Write the equation in the form y = mx + b to find the slope m and the y-intercept. This will allow you to graph the equation using the slope and y-intercept.

Given:-

Equation of the line is y=4x+8

The point through which the line passes (-8,4).

here the slope of the line is m1=4

To find the perpendicular line we know the formula

m1*m2=-1

By putting the value of m1 we get m2= -1/4

By using the one-point formula of the line we have

=>(y-y1)=m2*(x-x1)

By putting the values of y1 and x1 we get

(y1,x1)=(-8,4)

=>(y+8)=-0.25*(x-4)

y+0.25x+7=0

Hence the desired equation of the line is y=-1/4x-7

To find more about the straight line equations visit :

brainly.com/question/25969846

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7 0

1 year ago

Suppose the life of a particular brand of laptop battery is normally distributed with a mean of 8 hours and a standard deviation

Ierofanga [76]

Answer:

4.75% probability that the battery will last more than 9 hours before running out of power

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 8, \sigma = 0.6$