In: Statistics and Probability
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 Do you have bad breath? A machine is programmed to fill bottles with 1.65 liters of mouthwash in each bottle. Scope is testing that machine for its accuracy. In a sample of 29 bottles of mouthwash, the mean and standard deviation are calculated as 1.77 liters and 0.25 liters, respectively. Use Table 2.  | 
| a. | 
 Select the null and the alternative hypotheses to determine if the machine is working improperly, that is, it is either underfilling or overfilling the bottles of mouthwash.  | 
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| b. | 
 Calculate the value of the test statistic. (Round your answer to 2 decimal places.)  | 
| Test statistic | 
| c. | Approximate the p-value. | ||||||
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| d. | What is the conclusion at the 1% significance level? | ||||||||
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| e. | Calculate the critical value(s) at a 1% level of significance. (Round your answer to 3 decimal places.) | 
| Critical value(s) | ± | 
| f. | Can you conclude that the machine is working improperly? | ||||
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(A) we have to test whether the machine is filling less or more liters of mouthwash in each bottles, so it clearly a two tailed hypothesis
Null hypothesis:- 
Alternate hypothesis: 
so, option C is correct and other two options are showing hypotheses for one tailed test, thats why those two options are incorrect.
We are using t statistic because the population standard deviation in unknown and the sample size is also less than 29
(B) we have 
Using the t statistisc formula, we can write
t statistic = 
setting the values, we get
t statistic =
(C)
Using student's t distribution table for the t value of 2.58 for 0.01 significance level and degree of freedom = n-1 = 29-1 = 28, we get the p value
p value= 0.0154
So, p value is between 0.01 and 0.02
option A is correct
(D) Since the p value of 0.0154 is greater than 0.01, i.e. the p value is insignificant at 1% significance level, so we fail to reject the null hypothesis and we can conclude that the machine is not accurate at 0.01 significance level.
so, option A (Reject H0 since the p-value is greater than ?.) is correct
(E) Critical value using the t distribution for 1% level of significance with degree of freedom = n-1 = 29-1 = 28
we get
t critical = 
((F) YES because we fail to reject the null hypothesis, which means the alternate hypothesis is false and we can say that the machine is working improperly.