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Mamont248 [21]
3 years ago
13

Analyze the following graph and determine the slope of the line in the graph.

Mathematics
2 answers:
Alisiya [41]3 years ago
7 0
Its B. Because its moving 4 
WITCHER [35]3 years ago
5 0

Answer:

Its B. Because its moving 4;)

Step-by-step explanation:

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Solve the following for the specified variable<br><br> Z=s/2(P+p); for P
lapo4ka [179]

Answer:

\boxed{\sf P = \frac{2Z}{s} - p}

Step-by-step explanation:

\sf Solve \ for \ P: \\ \sf \implies  Z = \frac{s}{2} (P + p) \\ \\ \sf Z = \frac{s}{2} (P + p) \ is \ equivalent \ to \ \frac{s}{2} (P + p) = Z: \\ \sf \implies \frac{s}{2} (P + p) = Z \\ \\  \sf Divide \ both \ sides \ by \ \frac{s}{2} : \\ \sf \implies P + p = \frac{2Z}{s} \\ \\ \sf Substrate \ p \ from \ both \ sides: \\ \sf \implies P = \frac{2Z}{s} - p

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3 years ago
Farmers mowed 60 acres of grass a day instead of 50 and managed to finish the task one day earlier than planned. What is the are
schepotkina [342]
 300 acres. because <span>multiply 60 by 5.</span>
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3 years ago
Plz help me !!!!!!!!!!!!!
Digiron [165]

Answer:

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5 0
3 years ago
Read 2 more answers
During statistical analysis, the investigator may consider searching for statistical associations among various groups that may
IceJOKER [234]

.

Answer:

This is known as Data dredging.

Step-by-step explanation:

In order for any statistical analysis to be significant, a researcher has to first generate a hypothesis.  

Data dredging is trying to uncover patterns in data that can be presented statistically without devising a clear hypothesis by use data mining.  It is also referred to as data fishing or p-hacking.  

In this case any correlation (relationship between cause-effect)will be purely by chance.

Therefore, the investigator is Data dredging

3 0
3 years ago
A resident of Bayport claims to the City Council that the proportion of Westside residents
Kazeer [188]

Answer:

The test statistics is  z =  -1.56  

The p-value is   p-value =  0.05938

Step-by-step explanation:

From the question we are told  

   The West side sample  size is n_1  =  578

    The  number of residents on the West side with income below poverty level is k  = 76

    The East side sample size  n_2=688

  The  number of residents on the East side with income below poverty level is u  = 112

   The null hypothesis is  H_o  :  p_1 = p_2

    The alternative hypothesis is  H_a :  p_1 <  p_2

Generally the sample proportion of  West side is  

     \^{p} _1 = \frac{k}{n_1}

=>   \^{p} _1 = \frac{76}{578}

=>   \^{p} _1 =  0.1315

Generally the sample proportion of  West side is  

     \^{p} _2 = \frac{u}{n_2}

=>   \^{p} _2 = \frac{112}{688}

=>   \^{p} _2 =  0.1628

 Generally the pooled sample proportion is mathematically represented as

    p = \frac{k + u}{ n_1 + n_2 }

=>  p = \frac{76 + 112}{ 578 + 688 }

=>  p =0.1485

Generally the test statistics is mathematically represented as

z = \frac{\^ {p}_1 - \^{p}_2}{\sqrt{p(1- p) [\frac{1}{n_1 } + \frac{1}{n_2}  ]}  }

=> z = \frac{ 0.1315  - 0.1628 }{\sqrt{0.1485(1-0.1485) [\frac{1}{578} + \frac{1}{688}  ]}  }  

=> z =  -1.56  

Generally the p-value  is mathematically represented as

          p-value =  P(z <  -1.56 )

From z-table  

         P(z <  -1.56 ) =  0.05938

So

     p-value =  0.05938

3 0
3 years ago
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