How can I solve systems of equations by substitution method

1 answer:

5 0

This kind of hard to explain without an example, so I'll do my best...
All you have to do is isolate a variable on one side of the equals sign without a coefficient. Ex: x=2y+3 The x is all alone and ready to go into the second equation.
Substitute into the second equation. Ex: 2x+5=3 Substitute: 2(2y+3)+5=3
I hope this helps!

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What is the range of the following data values? 48,61,57,82,79

jenyasd209 [6]

Answer:

Answer is 34

Step-by-step explanation:

Ordering the numbers from least to greatest, we get:

48, 57, 61, 79, 82

highest - lowest = 82-48

82-48=34

the range is 34

6 0

3 years ago

Read 2 more answers

An insurance company is interested in conducting a study to to estimate the population proportion of teenagers who obtain a driv

nlexa [21]

Answer:

n=1041 or higher

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})$

2) Solution to the problem

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 99% of confidence, our significance level would be given by $\alpha=1-0.99=0.01$ and $\alpha/2 =0.005$ . And the critical value would be given by:

$z_{\alpha/2}=-2.58, z_{1-\alpha/2}=2.58$

The margin of error for the proportion interval is given by this formula:

$ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$ (a)

And on this case we have that $ME =\pm 0.04$ and we are interested in order to find the value of n, if we solve n from equation (a) we got:

$n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}$ (b)

Since we don't have a prior estimation for th proportion of interest, we can use this value as an estimation $\hat p =0.5$ And replacing into equation (b) the values from part a we got: