Consider the following matched-pairs sample that represents observations before and after an experiment. Assume that the sample differences are normally distributed. (You may find it useful to reference the appropriate table: z table or t table)                     Before   2.5     1.8     1.4   − 2.9     1.2   − 1.9   − 3.1     2.5   After   2.9     3.1     3.9   − 1.8     0.2     0.6     2.5     2.9        Click here for the Excel Data File   Hint: The differences are calculated as Xbefore - Xafter.   a. Construct the competing hypotheses to determine if the experiment increases the value of the observations. multiple choice 1 H0: μD = 0; HA: μD ≠ 0 H0: μD ≥ 0; HA: μD < 0 H0: μD ≤ 0; HA: μD > 0   b. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)     c. Find the p-value? multiple choice 2 p-value < 0.01 0.01 ≤ p-value < 0.025 0.025 ≤ p-value < 0.05 0.05 ≤ p-value < 0.10 p-value ≥ 0.10

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Consider the following matched-pairs sample that represents observations before and after an experiment. Assume that the sample differences are normally distributed. (You may find it useful to reference the appropriate table: z table or t table)
 

                 
Before   2.5     1.8     1.4   2.9     1.2   1.9   3.1     2.5  
After   2.9     3.1     3.9   1.8     0.2     0.6     2.5     2.9  
 

 

 Click here for the Excel Data File

 

Hint: The differences are calculated as Xbefore - Xafter.

 

a. Construct the competing hypotheses to determine if the experiment increases the value of the observations.

multiple choice 1

  • H0μD = 0; HAμD ≠ 0
  • H0μD ≥ 0; HAμD < 0
  • H0μD ≤ 0; HAμD > 0

 


b. Calculate the value of the test statistic. (Negative value should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.)

 

 


c. Find the p-value?

multiple choice 2

  • p-value < 0.01
  • 0.01 ≤ p-value < 0.025
  • 0.025 ≤ p-value < 0.05
  • 0.05 ≤ p-value < 0.10
  • p-value ≥ 0.10

 


d. What is the conclusion to the hypothesis test?

 

 


e. Do the results change if we implement the test at a 1% significance level?

multiple choice 3

  • Yes
  • No

 

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