All categories

3 years ago

BRAINLIEST!!!!!

Mathematics

2 answers:

Inga [223]3 years ago

4 0

Figure A correctly represents the Pythagorean theorem. This is because the Pythagorean theorem is a² + b² = c².

Figure A

49 units² + 576 units² = 625 units²

Figure B

16 units² + 25 units² ≠ 36 units²

Hope this helps!

Ksivusya [100]3 years ago

3 0

Figure A best represents it because if you add 576 and 49 you get 625, which shows the theorem of a^2+b^2=c^2.

You might be interested in

How do I figure this out?

balu736 [363]

it is 1 2 twelve I can end without 20 word my friend so deal with it

6 0

3 years ago

Plz help befoe 11:20 i need help

Burka [1]

Answer: During the second hour it could travel either 4,5,6,7,8,9 hours

Step-by-step explanation:

8 0

2 years ago

What is the value of the expression below when a is 3, b is 25, and c is 5?

aleksklad [387]

Answer:

es el 17 por que es no el 97

6 0

2 years ago

Read 2 more answers

The USDA conducted tests for salmonella in produce grown in California. In an independent sample of 252 cultures obtained from w

Marat540 [252]

Answer:

The decision rule is

Fail to reject the null hypothesis

The conclusion is

There no sufficient evidence to show that the proportion of salmonella in the region’s water differs from the proportion of salmonella in the region’s wildlife

Step-by-step explanation:

From the question we are told that

The first sample size is $n_1 = 252$

The number that tested positive is $k_1 = 18$

The second sample size is $n_2 = 476$

The number that tested positive is $k_2 = 20$

The level of significance is $\alpha = 0.01$

Generally the first sample proportion is mathematically represented as

$\^ p _1 = \frac{k_1 }{ n_1 }$

=> $\^ p _1 = \frac{18 }{ 252 }$

=> $\^ p _1 = 0.071$

Generally the second sample proportion is mathematically represented as

$\^ p _2 = \frac{k_2 }{ n_2 }$

=> $\^ p _2 = \frac{20 }{ 476}$

=> $\^ p _2 = 0.042$

The null hypothesis is $H_o : p_1 - p_2 = 0$

The alternative hypothesis is $H_a : p_1 - p_2 \ne 0$

Generally the test statistics is mathematically represented

$z = \frac{ \^ p_1 - \^ p_2 - ( p_ 1 - p_2 )}{ \sqrt{\frac{\^ p_1 (1-\^ p_1)}{ n_1 } + \frac{\^ p_2 (1-\^ p_2)}{ n_2 } } }$

=> $z = \frac{ 0.071 - 0.042 - 0 }{ \sqrt{\frac{0.071 (1-0.071)}{ 252 } + \frac{0.042 (1-\^ 0.042)}{ 476 } } }$

=> $z = 1.56$

From the z table the area under the normal curve to the right corresponding to 1.56 is

$P(Z > 1.56 ) =0.05938$

Generally the p-value is mathematically represented as

$p-value = 2 * P(Z > 1.56 )$

=> $p-value = 2 * 0.05938$

=> $p-value = 0.1188$

From the value obtained we see that $p-value > \alpha$ hence

The decision rule is

Fail to reject the null hypothesis

The conclusion is

There no sufficient evidence to show that the proportion of salmonella in the region’s water differs from the proportion of salmonella in the region’s wildlife

5 0

2 years ago

Mumz [18]

martemat 20 e7 72gsys y3823 485 u

8 0

2 years ago