Help me asap!!!! please

Mathematics

1 answer:

Lubov Fominskaja [6]2 years ago

6 0

Answer:

x = 3 should be the answer

Step-by-step explanation:

y is not graphed so y isn't part of the equation while x is so its X = K (K being the number that it goes up on) same thing applies to y if its horizontal then the equation is Y = K)

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Find an equation of the line through the point (3,2) with a slope of −2.

topjm [15]

Answer:

y=-2x+b

Step-by-step explanation:

Just use the formula y=ax+b, and input -2 as A, and 3, as x, and 2, as y, and then simplify.

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3 years ago

Read 2 more answers

I really need help pleaseeee

raketka [301]

12.92 I hope this helps

4 0

2 years ago

PLEASE HELP! Limited time

Natali [406]

The answer is <em>x=17.</em> Since it says that the plot point is the answer to square root 4.1^2 = 16.81 which is closest to 17.

Hope this helps and hope you have a great day and brainiest is always appreciated

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3 years ago

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Dafna1 [17]

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3 years ago

Engineers must consider the diameters of heads when designing helmets. The company researchers have determined that the populati

Margaret [11]

Answer:

1. The minimum head breadth that will fit the clientele is of 4.41-in.

2. The maximum head breadth that will fit the clientele is of 7.19-in.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be 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.

Normally distributed with a mean of 5.8-in and a standard deviation of 0.8-in.

This means that $\mu = 5.8, \sigma = 0.8$