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V125BC [204]
3 years ago
9

A height is labeled on the triangle below.

Mathematics
1 answer:
Aloiza [94]3 years ago
7 0

Answer:

B

Step-by-step explanation:

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Write a unit for the situation. $12.50 for 5 ounces
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$2.50 per ounce

Step-by-step explanation:

12.5/5=2.5

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In a random sample of 2500 consumers, 61% prefer Game A over Game B. Describe the error in giving an interval that is likely to
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3 0
3 years ago
The U.S. Department of Agriculture claims that the mean consumption of coffee by a person in the United States is 24.2 gallons p
Dmitry_Shevchenko [17]

Answer:

The decision rule is  

Reject the null hypothesis  

The conclusion is  

There is sufficient evidence to reject the claim  

Step-by-step explanation:

From the question we are told that

   The population mean is  \mu =  24.2 \ gallons \ per \ year

    The sample size is  n  =  101

     The sample mean is  \= x  =  23.5 \ gallons\ per\  year

     The standard deviation is  \sigma  =  3.2 \ gallons

The null hypothesis is  H_o  :  \mu =  24.2

 The alternative hypothesis is H_a :  \mu \ne 24.2

Generally the test statistics is mathematically represented as    

               z =  \frac{ \= x - \mu }{ \frac{\sigma }{ \sqrt{n} } }

=>             z =  \frac{  23.5  - 24.2 }{ \frac{ 3.2}{ \sqrt{ 101} } }  

=>             z = -2.198

From the z table  the area under the normal curve to the left corresponding to    -2.198  is  

         P(Z <  -2.198 )  =   0.013975

Gnerally the  p-value is mathematically represented as

         p-value =   0.013975 * 2

=>      p-value =  0.02795

From the value obtained we have that  p-value  \  <  \  \alpha hence  

The decision rule is  

Reject the null hypothesis  

The conclusion is  

There is sufficient evidence to reject the claim  

Using the Rejection Regions for a z-test method

Generally from the z table  the critical value  of \frac{\alpha }{2}  is  

     z_{critical} =  \pm 1.96

Not we are using  \frac{\alpha }{2}  because it is a two - tailed test

   Now comparing the critical value and the test statistics we see that the

region covered by  the test statistics (i.e 2.198 <  z <  -2.198)   is greater than the region covered by  the critical value  (i.e 1.96 <  z <  -1.96)

Hence

The decision rule is  

Reject the null hypothesis  

The conclusion is  

There is sufficient evidence to reject the claim  

4 0
3 years ago
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