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FromTheMoon [43]
3 years ago
10

What is the degree of the polynomial 3x^2+4-2x^5

Mathematics
1 answer:
wariber [46]3 years ago
6 0

Answer:

Degree of 5.

Step-by-step explanation:

The degree is the highest exponent in a given polynomial. That being said, the degree should be 5.

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What is 2 divided by 9/10 ​
Phoenix [80]

Answer:

20/9

Step-by-step explanation:

2/(9/10)=(2/1)(10/9)=20/9

8 0
3 years ago
Find the domain and range
almond37 [142]

Answer:

See answer above.

Step-by-step explanation:

These are the ordered pairs on the graph: (-2, 5), (2, 3), (-3, -2), (0, -5), (3, -6)

The domain is the first point in teach ordered pair and the range is the second number in the ordered pair.

So the domain is {-2, 2 , -3, 0, 3}

Range is {5, 3, -2, -5, -6}

6 0
2 years ago
Why doesn't the existence of a correlation always indicate a cause and effect relationship?
maxonik [38]
Because correlation and causation are 2 different links
4 0
3 years ago
Which is equivalent to 80^ 1/4
11Alexandr11 [23.1K]

Answer:

B) \sqrt[4]{80} ^x

Step-by-step explanation:

The given expression is 80^{\frac{1}{4} x}

It is 4th root. because 1/4 represents the 4th root.

So, \sqrt[4]{80} ^x

Therefore, the answer is B) \sqrt[4]{80} ^x

5 0
4 years ago
The strength of paper used in the manufacturing of cardboard boxes (y) is related to percentage of hardwood concentration in the
Elena-2011 [213]

Answer:

At a significance level of 0.05, there is enough evidence to claim that there is a significant relationship between x and y.

P-value = 0.003.

Step-by-step explanation:

If we perform a regression analysis relating x and y, we get the best fitting line with equation:

y=15.82x+92.9

and a correlation coefficient r:

r=0.693

We have to test the hypothesis, where the alternative hypothesis claims that there is a relationship between these two variables, and the null hypothesis claiming there is no relationship (meaning that the correlation is not significantly different from 0).

This can be written as:

H_0: \rho=0\\\\H_a:\rho\neq0

where ρ is the population correlation coefficient for x and y.

The significance level is assumed to be 0.05.

The sample size is n=16.

The degrees of freedom are df=14.

df=n-2=16-2=14

The test statistic can be calculated as:

t=\dfrac{r\sqrt{n-2}}{\sqrt{1-r^2}}=\dfrac{0.693\sqrt{14}}{\sqrt{1-(0.693)^2}}=\dfrac{2.593}{0.721}=3.597

For a test statistic t=2.05 and 14 degrees of freedom, the P-value is calculated as:

\text{P-value}=2\cdot P(t>3.597)=0.003

The P-value (0.003) is smaller than the significance level (0.05), so the effect is significant enough.

The null hypothesis is rejected.

At a significance level of 0.05, there is enough evidence to claim that there is a significant relationship between x and y.

3 0
3 years ago
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