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lord [1]
3 years ago
12

10 POINTS! NO LINKS!

Mathematics
2 answers:
bagirrra123 [75]3 years ago
5 0
I don’t really now but I believe it would be 148.46
Deffense [45]3 years ago
3 0

Answer:

164.48 or 164.5

Step-by-step explanation:

So, to make it simpler, you can do the circle like this: 3.14×(8×8). Then you can work down!

3.14 × 64

200.96

and then because it's halved, you divide by 2

100.48

then that's the half circle

The square would just be 8×8=64

then add the circle and the square and viola!

164.48

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Can you answer 1 and 2
Viefleur [7K]

Answer:

You have them both correct. #1 is B   #2 is C

Step-by-step explanation:

3 0
2 years ago
15(20−10x)−8x>−6x−16 A. x<1 B.x>1 C x<5 Dx>5
Mademuasel [1]
I think ur problem is missing something bc I got this

6 0
3 years ago
What is the classification for this polynomial 2u^2vw^2
Alexxx [7]
It’s a monomial for sure
6 0
3 years ago
Read 2 more answers
I will give Brainliest if you answer these 4 questions!!!!
masya89 [10]
Okay so
#1
4 for 5 would mean each single M&M is 1.25 (5/4)
9 for 25 would mean each single M&M is about 2.78 (25/9)
4 for 5 is the better deal

#2 
10 for 35 is 3.50 each (35/10)
12 for 40 is about 3.34 each (40/12)

#3 
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the hardware store has a better deal seeing as 19 cents each is cheaper

#4
so 13 divided by 1.4 is about 9.3 so Raisin Bran has less sugar per ounce of cereal
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
3 years ago
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