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Alenkinab [10]
3 years ago
5

i have posted this like 5 times so plz don't just pass it up. i need real help and i need it soon. i need help with Linear Equat

ions. i need to be able to under stand them. who ever helps me will get a nice reward.
Mathematics
2 answers:
wlad13 [49]3 years ago
6 0

Answer:

y=mx+b

Step-by-step explanation: Linear lines on graphs are straight lines, and have the same slope for each point.

the slope of a line can be read y/x which is where you go up/down for the y value and left or right for x values. In the equation the variable that represents  m.

The b is the y intercept or where the line meets the y axis.

the x stands for the x value that you can plug into the equation to solve for y.

Once you do that, if you need to you can plot a point on a graph with the y and x value (x,y)

Gwar [14]3 years ago
5 0

Example:

y = 2x + 1 is a linear equation:

  • When x increases, y increases twice as fast, so we need 2x
  • When x is 0, y is already 1. So +1 is also needed
  • And so: y = 2x + 1

Here are some example values:

x y = 2x + 1

-1 y = 2 × (-1) + 1 = -1

0 y = 2 × 0 + 1 = 1

1 y = 2 × 1 + 1 = 3

2 y = 2 × 2 + 1 = 5

-----------------------------------------------------------------------------

Each solution is a pair of numbers (x,y) that make the equation true. Solving a linear equation usually means finding the value of y for a given value of x. If the equation is already in the form y = mx + b, with x and y variables and m and b rational numbers, then the equation can be solved in algebraic terms.

i wish you the best <33

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According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a
Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

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 = 7.5, \sigma = 1.1

What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So

X = 8.6

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

Z = \frac{8.6 - 7.5}{1.1}

Z = 1

Z = 1 has a pvalue of 0.8413

X = 6.4

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

Z = \frac{6.4 - 7.5}{1.1}

Z = -1

Z = -1 has a pvalue of 0.1587

0.8413 - 0.1587 = 0.6826

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

6 0
3 years ago
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