Dullco Manufacturing claims that its alkaline batteries last at least 40 hours on average in a certain type of portable CD player. But tests on a random sample of 18 batteries from a day's large production run showed a mean battery life of 37.8 hours with a standard deviation of 5.4 hours. To test DullCo's hypothesis, the p-value is

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Answer:

The value is  [tex]p- value  = 0.041815[/tex]

Step-by-step explanation:

From the question we are told that

  The  population mean is [tex]\mu  =  40 \ hours[/tex]

  The  sample size is  [tex]n  =  18[/tex]

    The  sample mean is  [tex]\= x =  37.8 \ hours[/tex]

   The standard deviation is  [tex]\sigma  = 5.4\ hours[/tex]

The null hypothesis is  [tex]H_o  :  \mu =  \ge 40[/tex]

The alternative hypothesis is  [tex]H_a  :  \mu < 40 \ hour s[/tex]

Generally the test statistic is mathematically evaluated as

       [tex]t=  \frac{\= x - \mu}{ \frac{\sigma}{ \sqrt{n} } }[/tex]

      [tex]t=  \frac{37.8 - 40}{ \frac{5.4}{ \sqrt{18 } }[/tex]

      [tex]t=  -1.73[/tex]

From the z - table the p-value is obtained and the value is  

      [tex]p- value  =  P(Z <  -1.73)[/tex]

        [tex]p- value  = 0.041815[/tex]

To test DullCo's hypothesis, the p-value is 0.041815 and this can be determined by using the given data.

Given :

  • DullCo Manufacturing claims that its alkaline batteries last at least 40 hours on average in a certain type of portable CD player.
  • But tests on a random sample of 18 batteries from a day's large production run showed a mean battery life of 37.8 hours with a standard deviation of 5.4 hours.

The following steps can be used in order to determine the p-value for DullCo's hypothesis:

Step 1 - The formula for t-statistics can be used in order to determine the p-value for DullCo's hypothesis.

Step 2 - The formula for t-statistics is given below:

[tex]t = \dfrac{\bar{x}-\mu}{\dfrac{\sigma}{\sqrt{n} }}[/tex]

where the sample size is 'n', the standard deviation is [tex]\sigma[/tex], and the mean is [tex]\mu[/tex].

Step 3 - Now, substitute the values of [tex]\sigma[/tex], [tex]\mu[/tex], [tex]\bar{x}[/tex], and n in the above formula.

[tex]t = \dfrac{37.8-40}{\dfrac{5.4}{\sqrt{18} }}[/tex]

Step 4 - SImplify the above expression.

[tex]t = \dfrac{-2.2}{1.2727}[/tex]

[tex]t = -1.73[/tex]

Step 5 - Now, with the help of the z-table the p-value is:

[tex]\rm p-value = P(Z<-1.73)[/tex]

[tex]\rm p-value = 0.041815[/tex]

To test DullCo's hypothesis, the p-value is 0.041815.

For more information, refer to the link given below:

https://brainly.com/question/14723549