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baherus [9]
3 years ago
10

Write an equation in slope-intercept form for the line that satisfies the following condition.

Mathematics
1 answer:
a_sh-v [17]3 years ago
5 0
You use y=mx+b and you get y=6x-33
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What is the square root of 432
Fynjy0 [20]

√432=12√3

HOPE THIS HELPS!!!!!!!!!!!!

6 0
3 years ago
Help me with this!!
Neporo4naja [7]

Answer:

Step-by-step explanation:

so we see the two line of the same length of 14, which tells us that the lengths of 5x  and 7x-8  have to be the same length.  so we know we can set them equal to each other.  Often times that's the key to math problems , finding where you can set things equal.

5x = 7x-8  ( subtract 5x from both sides and then add 8 to both sides )

8 = 2x ( divide both sides by 2 )

4 = x

nice this looks right too  , both sides add to 20  :)

5 0
3 years ago
G. a car travels at 60m/s for 50minutes <br> south west.calculate how far it will travel
Tju [1.3M]

Step-by-step explanation:

first we want to convert it to minutes so we multiply 60m/s by 60. 3600m/min or 3.6km/min

we just multiply 50 by 3.6.

therefore the car travels 180km south west

3 0
2 years ago
At a large Midwestern university, a simple random sample of 100 entering freshmen in 1993 found that 20 of the sampled freshmen
guajiro [1.7K]

Answer:

The 90% confidence interval for the difference of proportions is (0.01775,0.18225).

Step-by-step explanation:

Before building the confidence interval, we need to understand the central limit theorem and subtraction of normal variables.

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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Subtraction between normal variables:

When two normal variables are subtracted, the mean is the difference of the means, while the standard deviation is the square root of the sum of the variances.

p1 -> 1993

20 out of 100, so:

p_1 = \frac{20}{100} = 0.2

s_1 = \sqrt{\frac{0.2*0.8}{100}} = 0.04

p2 -> 1997

10 out of 100, so:

p_2 = \frac{10}{100} = 0.1

s_2 = \sqrt{\frac{0.1*0.9}{100}} = 0.03

Distribution of p1 – p2:

p = p_1 - p_2 = 0.2 - 0.1 = 0.1

s = \sqrt{s_1^2+s_2^2} = \sqrt{0.04^2 + 0.03^2} = 0.05

Confidence interval:

p \pm zs

In which

z is the z-score that has a p-value of 1 - \frac{\alpha}{2}.

90% confidence level

So \alpha = 0.1, z is the value of Z that has a p-value of 1 - \frac{0.1}{2} = 0.95, so Z = 1.645.  

The lower bound of the interval is:

p - zs = 0.1 - 1.645*0.05 = 0.01775&#10;

The upper bound of the interval is:

p + zs = 0.1 + 1.645*0.05 = 0.18225&#10;

The 90% confidence interval for the difference of proportions is (0.01775,0.18225).

6 0
3 years ago
Math,math,math,math,math,math
zzz [600]

Answer:

Step-by-step explanation:

MATHHHHHHHH do u need help in math or what?

5 0
2 years ago
Read 2 more answers
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