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Anvisha [2.4K]
3 years ago
5

Jackson has 4 1/4 cups of chocolate. How can you write his amount of chocolate as a fraction greater than one

Mathematics
2 answers:
sdas [7]3 years ago
8 0
The answer is .32 oz
Zinaida [17]3 years ago
5 0
If this is asking how to write this as a complex fraction, here's how:

First, do the whole number (4) multiplied by the diameter (4) to get 16. Then you take 16 and add this to the numerator (1) to get 17. Then your final answer is this number (17) over the original denominator (4), or 17/4

Hope this helps :)
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4x + 2 &lt; −2 OR 4x + 2 &gt; 26 <br><br><br> solve pl
inn [45]

Step-by-step explanation:

The easiest thing to do here is:

4x + 2 = -2 and 4x + 2 = 26

Just know whaever you get for x is greater or less than the actual answer.

4x + 2 = -2

      - 2  - 2

 4x = -4

 \frac{4x}{4} = \frac{-4}{4}

x = -1 <--- Because -2 is supposed to be greater than x, x equals any number less than -1 but not -1.

4x + 2 = 26

     - 2    - 2

  4x = 24

  \frac{4x}{4} = \frac{24}{4}

x = 6 <--- Because 26 is supposed to be less than x, x equals any numbey greater than 6 but not 6

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Step-by-step explanation:

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The triangles shown below must be congruent.<br> False<br> True
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True congruent means the same
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3. A new process has been developed for applying pho­ toresist to 125-mm silicon wafers used in manufac­ turing integrated circu
dlinn [17]

Answer:

a

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

The null hypothesis is rejected

b

The  99% confidence level is   13.3930  < \mu  < 13.3994

Step-by-step explanation:

From the question we are told that

  The sample size is  n =  10

   The  population mean is  \mu =  13.4 000 \  angstroms

   The level of significance is  \alpha =  0.05

   The  sample data is  

13.3987, 13.3957, 13.3902, 13.4015, 13.4001, 13.3918, 13.3965, 13.3925, 13.3946, and 13.4002

Generally the sample mean is mathematically represented as

        \= x =  \frac{13.3987+ 13.3957\cdots +13.4002 }{10}

=>     \= x = 13.3962

Generally the sample standard deviation  is mathematically represented as

    \sigma = \sqrt{\frac{\sum (x_i - \= x)^2}{n} }

=> \sigma = \sqrt{\frac{ (13.3987 - 13.3962)^2 +  (13.3987 - 13.3962)^2 + \cdots + (13.3987 -13.4002)^2  }{10} }

=>  \sigma =0.0039

The null hypothesis is  H_o : \mu  =  13.4000

The alternative hypothesis is  H_a :  \mu \ne  13.4000

Generally the test statistics is mathematically represented as

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

=>    z  =  \frac{13.3962 -  13.4000}{\frac{0.0039}{\sqrt{10} } }

=>   z =  3.08

Generally the p-value is mathematically represented as

       p-value  = 2P( z   >  3.08)

From the z-table  P(z >  3.08)= 0.001035

So

       p-value  = 2* 0.001035

      p-value  = 0.00207

So from the obtained value we see that

     p-value  < \alpha

Hence the null hypothesis is rejected

Consider the b question

Given that the confidence level is  99%  then the level of significance is

    \alpha =  (100 -99)\%

=> \alpha =  0.01

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

    Z_{\frac{\alpha }{2} } =  2.58

Generally the margin of error is mathematically represented as  

     E =  Z_{\frac{\alpha }{2} } *  \frac{\sigma}{\sqrt{n} }

=>   E = 2.58  *  \frac{0.0039}{\sqrt{10} }

=>    E = 0.00318

Generally the 99% confidence interval is mathematically represented as

     13.3962   - 0.00318  < \mu  < 13.3962   +  0.00318

=>   13.3930  < \mu  < 13.3994

 

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Answer: you choke and die by the time you hit 41 left :)

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