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Bingel [31]
3 years ago
5

Explain how to graph a line when given the slope and one of the points on the line.

Mathematics
2 answers:
Anna11 [10]3 years ago
8 0

Answer:

Step-by-step explanation:

If you are given the slope and a pair of points, then the first step is to plot the points on the graph. After this, you would then look at the slope and do rise / run. For example, if the slope is 2, then you would go from the previous point that you plotted on the graph and you would rise (go up or down based on the sign) 2 points, and then you would run (go left or right based on the sign). This will then give you your second and third point and you can draw your line. Hope this helped!

Elden [556K]3 years ago
3 0

Answer:

ez

Step-by-step explanation:

start at the point you were given, and use the slope. remember rise over run.

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3 years ago
SOLVE FOR BRAINLIEST!
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3 years ago
A manufacturer knows that their items have a normally distributed length, with a mean of 15.4 inches, and standard deviation of
Masteriza [31]

Answer:

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

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 z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 15.4 inches, and standard deviation of 3.5 inches.

This means that \mu = 15.4, \sigma = 3.5

16 items are chosen at random

This means that n = 16, s = \frac{3.5}{\sqrt{16}} = 0.875

What is the probability that their mean length is less than 16.8 inches?

This is the p-value of Z when X = 16.8. So

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

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{16.8 - 15.4}{0.875}

Z = 1.6

Z = 1.6 has a p-value of 0.9452.

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

5 0
3 years ago
a bathtub mat is in the shape of a semicircle. the straight side of the mat is 24 in. What is the perimeter of the mat in terms
matrenka [14]
24 x 3.14= 75.36
75.36÷2=37.68
5 0
3 years ago
Whats 5000+35548-455x4534+38534x233=?
Vlada [557]

Answer:

6,956,000

Do all the operations in order by following the PEMDAS method.

6 0
3 years ago
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