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Artemon [7]
3 years ago
5

2 1/7 x 3 1/3 Answer with a mixed number in simplest form

Mathematics
1 answer:
xxTIMURxx [149]3 years ago
4 0

Step-by-step explanation:

15/7×10/3

LCM of 3,7 is 21

So, Make denominators equal

45×70/21

3150/21

150 by cancelling

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Tell whether 4/2 and 14/7 form a proportion
sergejj [24]
Yes both of the two fraction are proportion
3 0
4 years ago
3/8 x (1 - 1/3) (don’t answer the equation write the equation in word form)
stellarik [79]

Answer:

three-eighths multiplied by the difference of one and one-third.

Step-by-step explanation:

Convert equation to words

3/8 = three-eighths

x = multiplied

1 - 1/3 = difference of one and 1/3

If my answer is incorrect, pls correct me!

If you like my answer and explanation, mark me as brainliest!

-Chetan K

8 0
3 years ago
How does a number line help you compare numbers.
Hitman42 [59]

It shows you the exact distance from each number and it's easier to find out how far apart they are.

8 0
4 years ago
Read 2 more answers
Which of the following quartic functions has x=-1 and x=-2 as its only two real zeros
Brums [2.3K]
Quartic is 4th degree
the factors of an equation with roots r1,r2 is
(x-r1)(x-r2)
4th degree
it could be
(x-r1)¹(x-r2)³ or
(x-r1)²(x-r2)² or
(x-r1)³(x-r2)¹


roots or zeroes at x=-1 and x=-2
(x-(-1)) and (x-(-2))
(x+1) and (x+2)

the function could be factored into
(x+1)¹(x+2)³ or
(x+1)²(x+2)² or
(x+1)³(x+2)¹

expanded would be
x⁴+7x³+18x²+20x+9 or
x⁴+6x³+13x²+12x+4 or
x⁴+5x³+9x²+7x+2
one of those is the answer

4 0
3 years ago
A hypothesis test is conducted at the .05 level of significance to test whether or not the population correlation is zero. If th
finlep [7]

Answer:

Th computed value of the test statistic is 3.597

Step-by-step explanation:

The null and the alternative hypothesis is as follows:

Null Hypothesis:

\mathbf{H_o:} the population correlation coefficient is equal to zero

\mathbf{H_a:} the population correlation coefficient is not equal to zero

The test statistics for Pearson correlation coefficient is thus computed as :

t =\dfrac{r \sqrt{(n-2)}} { \sqrt{(1-(r)^2)} }

where;

r = correlation coefficient = 0.60

n = sample size = 25

So;

t =\dfrac{0.60 \sqrt{(25-2)}} { \sqrt{(1-(0.60)^2)} }

t =\dfrac{0.60 \sqrt{(23)}} { \sqrt{(1-0.36} }

t =\dfrac{0.60 *4.796} {0.8}

t = 3.597

Comparing to a critical value of t (23 degrees of freedom two-tailed value) = 2.069

Decision Rule:

Since computed value of t is greater than the critical value of t; We reject the null hypothesis and accept the alternative hypothesis.

Conclusion:

We conclude that the population correlation coefficient significantly differs from 0 at 5% (0.05) level of significance.

6 0
4 years ago
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