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Paraphin [41]
3 years ago
6

Doctors nationally believe that 80% of a certain type of operation are successful. In a particular hospital, 47 of these operati

ons were observed and 37 of them were successful. At = .05, is this hospital's success rate different from the national average?
Mathematics
1 answer:
Ann [662]3 years ago
5 0

Answer:

z=\frac{0.787 -0.8}{\sqrt{\frac{0.8(1-0.8)}{47}}}=-0.223  

p_v =2*P(z  

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of hospital's success rate is not significanlty different from 0.8 or 80%.  

Step-by-step explanation:

1) Data given and notation

n=47 represent the random sample taken

X=37 represent the operations successful

\hat p=\frac{37}{47}=0.787 estimated proportion of operations successful

p_o=0.8 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is different from 0.8 or 80%:  

Null hypothesis:p=0.8  

Alternative hypothesis:p \neq 0.8  

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.

3) Calculate the statistic  

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

z=\frac{0.787 -0.8}{\sqrt{\frac{0.8(1-0.8)}{47}}}=-0.223  

4) 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 significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

p_v =2*P(z  

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of hospital's success rate is not significanlty different from 0.8 or 80%.  

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Answer: 11x

---------------------------------------------------
---------------------------------------------------

Explanation:

Let L be the length of rectangle B
There are two copies of L (along the top and bottom of the rectangle). The vertical pairs of sides are both 7x each.

For the triangle, we have three sides of 12x since this is an equilateral triangle. All three sides are congruent for any equilateral triangle.

The perimeter of the triangle is
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Since both perimeters are the same, this means 
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So the length of the rectangle, in terms of x, is 11x. This is the final answer.

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