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Debora [2.8K]
3 years ago
9

A loan given to people who are purchasing real estate is called a

Mathematics
2 answers:
erica [24]3 years ago
7 0

Answer:

A loan given to people who are purchasing real estate is called a <u>MORTGAGE.</u>

Step-by-step explanation:

Mortgage is the loan given to people who are purchasing real estate ( example- house , property etc ) and if the borrower fails to repay  the loan in specific period of time the lender has the right to possess his/ her property.

Thus, A loan given to people who are purchasing real estate is called a MORTGAGE.

Deffense [45]3 years ago
3 0
A mortgage, hope this helped :)
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Is the point (8'10), a solution of the equation y=16x-3
Karolina [17]
Lets find out...
(8,10)...x = 8 and y = 10

y = 16x - 3
10 = 16(8) - 3
10 = 128 - 3
10 = 125....nope...incorrect
therefore, (8,10) is not a solution to this equation
5 0
3 years ago
I need help please ​
Flauer [41]

Answer:

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4 0
3 years ago
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Find j(0)<br> j(x) = 2x – 6
ArbitrLikvidat [17]
The answer might be 0 I’m not sure.
3 0
3 years ago
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Find all zeros of x^4+x
Yuri [45]

Answer:

-1 and 0

Step-by-step explanation:

X ^4+x = 0;

x*(x^3+1)=0;

x*[(x^3-x)+(x+1)]=0;

x*[x(x-1)(x+1)+(x+1)]=0;

x*(x+1)(x^2-x+1)=0;

Since x^2-x+1=0 has no intersection with the X-axis, there is no x value such that y=0

x=0 or -1

4 0
2 years ago
The CEO of a large manufacturing company is curious if there is a difference in productivity level of her warehouse employees ba
blsea [12.9K]

Answer:

The test statistic is z = -2.11.

Step-by-step explanation:

Before finding the test statistic, 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.

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.

Group 1: Sample of 35, mean of 1276, standard deviation of 347.

This means that:

\mu_1 = 1276, s_1 = \frac{347}{\sqrt{35}} = 58.6537

Group 2: Sample of 35, mean of 1439, standard deviation of 298.

This means that:

\mu_2 = 1439, s_2 = \frac{298}{\sqrt{35}} = 50.3712

Test if there is a difference in productivity level.

At the null hypothesis, we test that there is no difference, that is, the subtraction is 0. So

H_0: \mu_1 - \mu_2 = 0

At the alternate hypothesis, we test that there is difference, that is, the subtraction is different of 0. So

H_1: \mu_1 - \mu_2 \neq 0

The test statistic is:

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

In which X is the sample mean, \mu is the value tested at the null hypothesis and s is the standard error.

0 is tested at the null hypothesis:

This means that \mu = 0

From the two samples:

X = \mu_1 - \mu_2 = 1276 - 1439 = -163

s = \sqrt{s_1^2+s_2^2} = \sqrt{58.6537^2+50.3712^2} = 77.3144

Test statistic:

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

z = \frac{-163 - 0}{77.3144}

z = -2.11

The test statistic is z = -2.11.

7 0
3 years ago
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