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mrs_skeptik [129]
3 years ago
6

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Mathematics
2 answers:
zhuklara [117]3 years ago
8 0

Answer:

51x^5y^3z^6

Step-by-step explanation:

Please give brainliest

lyudmila [28]3 years ago
6 0

Answer:

51x^5 y^3 z^6

Step-by-step explanation:

(-3×^2 y^3 z^2) × (-17 × ^3 z^4)

3x^2 y^3 z^2 × 17×^3 z^4

51x^5 y^3 z^6

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Triangle DEF has vertices located at D (2, 1), E (3,5), and F (6,2).
IRINA_888 [86]

Answer:

(A)

Length of DE = √17

EF = √18

DF = √17

(B) Slope of DE = 4

EF = 1

DF = 1/4

(C) Isosceles triangle.

Step-by-step explanation:

See attached image.

3 0
2 years ago
In a fruit salad, there are 12 strawberries, 14 grapes, 6 kiwis, and 4 papayas. Find the ratio of kiwis to the total number of p
KonstantinChe [14]

Answer:

1:6

this is because 6 kiwis + 30 fruits = 36 fruits. Then you have 6 kiwis and 36 fruits. therefore the ratio is 6:36.  when you simplify , it becomes 1:6

3 0
3 years ago
Read 2 more answers
A light bulb consumes 3600 watt-hours per day. How long does it take to consume 18900 watt-hours?
Pie

Answer

5 days and six hours or 126 hours

5 0
3 years ago
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on Tuesday pierce ran 3/4 mile and walked 3/4 on Wednesday he ran 2/4 mile and walk 1 1/4 miles hiw much farther did pierce run
Korvikt [17]

Answer:

On Tuesday

3/4 + 3/4 = 3/2 = 1 1/2 = 1.5

On Wednesday

2/4 + 1 1/4 = 7/4 = 1 3/4 = 1.75

Then we subtract

1.75 - 1.5 = 0.25


6 0
3 years ago
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In the book Essentials of Marketing Research, William R. Dillon, Thomas J. Madden, and Neil H. Firtle discuss a research proposa
MakcuM [25]

Answer:

Null hypothesis:p_{1} = p_{2}  

Alternative hypothesis:p_{1} \neq p_{2}  

z=\frac{0.179-0.15}{\sqrt{0.17(1-0.17)(\frac{1}{140}+\frac{1}{60})}}=0.500  

p_v =2*P(Z>0.500)=0.617  

So the p value is a very low value and using any significance level for example \alpha=0.05, 0,1,0.15 always p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the two proportions NOT differs significantly.  

Step-by-step explanation:

Data given and notation  

X_{1}=25 represent the number of homeowners who would buy the security system

X_{2}=9 represent the number of renters who would buy the security system

n_{1}=140 sample 1

n_{2}=60 sample 2

p_{1}=\frac{25}{140}=0.179 represent the proportion of homeowners who would buy the security system

p_{2}=\frac{9}{60}= 0.15 represent the proportion of renters who would buy the security system

z would represent the statistic (variable of interest)  

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

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the two proportions differs , the system of hypothesis would be:  

Null hypothesis:p_{1} = p_{2}  

Alternative hypothesis:p_{1} \neq p_{2}  

We need to apply a z test to compare proportions, and the statistic is given by:  

z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}   (1)  

Where \hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{25+9}{140+60}=0.17  

Calculate the statistic  

Replacing in formula (1) the values obtained we got this:  

z=\frac{0.179-0.15}{\sqrt{0.17(1-0.17)(\frac{1}{140}+\frac{1}{60})}}=0.500  

Statistical decision

For this case we don't have a significance level provided \alpha, but we can calculate the p value for this test.    

Since is a two sided test the p value would be:  

p_v =2*P(Z>0.500)=0.617  

So the p value is a very low value and using any significance level for example \alpha=0.05, 0,1,0.15 always p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the two proportions NOT differs significantly.  

6 0
3 years ago
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