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4 years ago

What is linear and non-linear?

2 answers:

8 0

Linear means that the variable only is to the first power. Non-linear means that the variable has a power of more than one.

For example, a linear variable could look like $x^{1}$ or $x$ and a non-linear variable could look like $x^{2}$ or $x^{3}$

bagirrra123 [75]4 years ago

4 0

Answer:

The word 'linear' means something having to do with a line.On a Cartesian Plane, a linear function is a function where the graph is a straight line. The line can go in any direction, but it's always a straight line. A non-linear function has a shape that is not a straight line.

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7/10 7/8 7/12 7/9 smallest to greatest

mamaluj [8]

Answer:

7/12 7/10 7/9 7/8

Step-by-step explanation

The bigger the denominator is, the smaller the number is

8 0

3 years ago

What is the percent of 10

viktelen [127]

I Think The Answer Is 1000%

5 0

3 years ago

Ngozi earns $24000 in salary in the first year she works as an interpreter. each year, she earns a 3.5% raise.

Novosadov [1.4K]

Given that the current salary for Ngozi is $24000 and she earns 3.5% raise yearly, the function that will represent her salary in t years will be:
A=P(1+r)^t
where:
A=future amount
P=principle
r=rate
t=time
thus plugging in the values we shall have:
s(t)=24000(1+3.5/100)^t
s(t)=24000(1.035)^t
thus the answer is:
s(t)=24000(1.035)^t

3 0

3 years ago

Basic Computation: Testing M1 2 M2 A random sample of 49 measurements from a population with population standard deviation 3 had

Elenna [48]

Answer:

The sample statistics follows a standard normal distribution since the sample size are large enough.

Step-by-step explanation:

Given that:

First population:

Sample size $n_1$ = 49

Population standard deviation $\sigma_1$ = 3

Sample mean $\overline x _1$ = 10

Second population:

Sample size $n_2$ = 64

Population standard deviation $\sigma_2$ = 4

Sample mean $\overline x_2$ = 12

The sample statistics follows a standard normal distribution since the sample size are large enough.

The null and alternative hypotheses can be computed as:

$\mathbf{H_o:\mu_1=\mu_2}$

$\mathbf{H_1:\mu_1\ne\mu_2}$

Level of significance = 0.01

Using the Z-test statistics;

$Z = \dfrac{\overline x_1 - \overline x_2}{\sqrt{\dfrac{\sigma_1^2}{n_1} + \dfrac{\sigma_2^2}{n_2}}}$

$Z = \dfrac{10- 12}{\sqrt{\dfrac{3^2}{49} + \dfrac{4^2}{64}}}$

$Z = \dfrac{-2}{\sqrt{\dfrac{9}{49} + \dfrac{16}{64}}}$

$Z = \dfrac{-2}{\sqrt{0.18367 +0.25}}$

$Z = \dfrac{-2}{\sqrt{0.43367}}$

$Z = \dfrac{-2}{0.658536}$

Z = - 3.037

Z $\simeq$ - 3.04

The P-value = 2P (z < -3.04)

From the z tables

= 2 × (0.00118)

= 0.00236

Thus, since P-value is less than the level of significance, we fail to reject the null hypotheses $H_o$

5 0

3 years ago

If a sum borrowed under compound intrest doubles itsef in 10 years, when will it become four fold?

tangare [24]

If the original investment doubled in 10 years, then double the investment
will double again in the next 10 years. Thus, in 20 years, the original sum
would have increased fourfold.

4 0

3 years ago