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Serga [27]
3 years ago
10

Steady callin' my phone

Mathematics
2 answers:
posledela3 years ago
8 0

Answer:

a

Step-by-step explanation:

26-12=14

14/7=2

?-9=2

?=11

kobusy [5.1K]3 years ago
4 0

Answer:

g = 11

Step-by-step explanation:

⇒ 26 -12 = 7(g - 9) + <u>12 </u><u>-12</u>

⇒ 14 = 7(g - 9)

⇒ 14/7 =<u> 7</u>(g - 9)<u>/7</u>

⇒ 2 = g - 9

⇒ 2 +9 = g <u>- 9</u><u>+9</u>

⇒ 11 = g

AYEE Lil Tjay!

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The mayor of a town has proposed a plan for the annexation of an adjoining community. A political study took a sample of 1000 vo
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Answer:

z=\frac{0.54 -0.5}{\sqrt{\frac{0.5(1-0.5)}{1000}}}=2.530  

p_v =P(z>2.530)=0.0057  

Step-by-step explanation:

Data given and notation

n=1000 represent the random sample taken

\hat p=0.54 estimated proportion of residents that favored the annexation

p_o=0.5 is the value that we want to test

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is higher than 0.5:  

Null hypothesis:p \leq 0.5  

Alternative hypothesis:p > 0.5  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info required we can replace in formula (1) like this:  

z=\frac{0.54 -0.5}{\sqrt{\frac{0.5(1-0.5)}{1000}}}=2.530  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>2.530)=0.0057  

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B\geq 5,000

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