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worty [1.4K]
3 years ago
13

- l ‘ " cat weighs 12 pounds j How many ounces is that ' - * ‘ > ‘ ‘ .721 E 5' PLEASE HELP ME SOLVE THIS PROBLEM

Mathematics
2 answers:
elena55 [62]3 years ago
6 0
There is 192 ounces in the cat. I know this because 1 pound = 16 ounces, so 16 x 12 = 192.
Drupady [299]3 years ago
3 0
The cat will weigh 201 ounces. So there are 16 ounces in a pound so you muliply 16x12= 192 but, the cat doesnt just weigh 12 pounds. You have to add another 9 ounces to the 192. And thats how you get your answer
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Complete Question

In a study of the accuracy of fast food drive-through orders, one restaurant had 32 orders that were not accurate among 367 orders observed. Use a 0.05 significance level to test the claim that the rate of inaccurate orders is equal to 10%. Does the accuracy rate appear to be acceptable?

Answer:

The decision rule  is

  Fail to reject the null hypothesis

The conclusion is  

  There is sufficient evidence to show that the rate of inaccurate orders is equal to​ 10%

Step-by-step explanation:

Generally from the question we are told that

   The sample size is  n =  367

    The number of orders that were not accurate is  k = 32

    The population proportion for rate of inaccurate orders is  p = 0.10

The null hypothesis is  H_o :  p = 0.10

The alternative hypothesis is  H_a :  p \ne 0.10

Generally the sample proportion is mathematically represented as  

         \^ p = \frac{k}{n}

=>      \^ p = \frac{32}{367}

=>      \^ p = 0.0872

Generally the test statistics is mathematically represented as

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

=>      z= \frac{ 0.0872  - 0.10 }{ \sqrt{ \frac{ 0.10 (1 - 0.10 )}{367} } }  

=>      z= -0.8174

From the z table  the area under the normal curve to the left corresponding to  -0.8174 is  

         P(z <  -0.8173 )  = 0.20688

Generally the p-value is mathematically represented as

         p- value =  2 *  0.20688

=>      p- value =  0.4138

From the value obtained we see that  p-value >  \alpha hence

The decision rule  is

  Fail to reject the null hypothesis

The conclusion is  

  There is sufficient evidence to show that the rate of inaccurate orders is equal to​ 10%

 

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