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3 years ago

Which phrase best defines a rhombus?

Mathematics

2 answers:

Rzqust [24]3 years ago

8 0

A is you're answer because it is I don't know how to explain it srry

Dennis_Churaev [7]3 years ago

5 0

I believe the answer is D, rhombus' are kind of odd shapes. But they aren't congruent, and they are parallelograms.

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PLEASE ANSWER ASAP!!!

sweet-ann [11.9K]

Answer:

(4,-2)

Step-by-step explanation:

If we are reflecting a point across the y-axis, that point must be on the same horizontal line that the pre-mage is was, this means the y coordinate must remain the same. Now we want the points on both sides of the y-axis to have the same distance. x and -x have the same distance from 0. This means you will need to take the opposite of x.

So a point (x,y) being reflected over the y-axis will give (-x,y).

( x , y)->(-x,y) means we have:

(-4,-2 )->(4,-2)

You can graph this to confirm it looks like a reflection through the y-axis.

4 0

3 years ago

4.538461538 rounded to nearest 10th

Nutka1998 [239]

It would be 4.5
Hope this helps.

7 0

3 years ago

What is 5.70×59.2 I need to know asap please

Alex787 [66]

337.44 is the exact answer. Happy to help.

3 0

3 years ago

Read 2 more answers

Which expression is equivalent to (b^n)^m<br> A.b^n-m<br> B.b^n+m<br> C.b^n×m<br> D.b^n÷m

vodka [1.7K]

$b^m*b^n$

$= b^m^+^n$

$Answer = b$

6 0

3 years ago

Researchers obtained a sample of n = 10 children who attended daycare before starting school. The children are given a standardi

attashe74 [19]

Answer:

$t=\frac{55.5-50}{\frac{4.249}{\sqrt{10}}}=4.093$

$p_v =2*P(t_{9}>4.093)=0.00084$

If we compare the p value and the significance level assumed $\alpha=0.05$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis.

We can say that at 5% of significance the true mean is significantly different from 50.

Step-by-step explanation:

Data given and notation

53, 57, 61, 49, 52, 56, 58, 62, 51, 56

We can calculate the sample mean and deviation with the following formulas:

$\bar X = \frac{\sum_{i=1}^n X_i}{n}$

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X))^2}{n-1}}$

And we got:

$\bar X=55.5$ represent the sample mean

$s=4.249$ represent the sample standard deviation

$n=10$ sample size

$\mu_o =50/tex] represent the value that we want to test [tex]\alpha=0.05$ represent the significance level for the hypothesis test (ASSUMED).

t would represent the statistic (variable of interest)

$p_v$ represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if the true mean is equal or not to 50 :

Null hypothesis: $\mu = 50$

Alternative hypothesis: $\mu \neq 50$

Since we don't know the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".

Calculate the statistic

We can replace in formula (1) the info given like this:

$t=\frac{55.5-50}{\frac{4.249}{\sqrt{10}}}=4.093$

P-value

We need to calculate the degrees of freedom first given by:

$df=n-1=10-1=9$

Since is a two-sided tailed test the p value would given by:

$p_v =2*P(t_{9}>4.093)=0.00084$

Conclusion

If we compare the p value and the significance level assumed $\alpha=0.05$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis.

We can say that at 5% of significance the true mean is significantly different from 50.

6 0

4 years ago