The amount of water consumed each day by a healthy adult follows a normal distribution with a mean of 1.54 liters. A health campaign promotes the consumption of at least 2.0 liters per day. A sample of 10 adults after the campaign shows the following consumption in liters:                       1.35 1.68 1.76 2.00 1.84 1.84 1.50 1.82 1.86 1.60     At the 0.050 significance level, can we conclude that water consumption has increased? Calculate and interpret the p-value.    Click here for the Excel Data File   a. State the null hypothesis and the alternate hypothesis. (Round your answers to 2 decimal places.)     b. state the decision rule for 0.050 significance level. (Round your answer to 3 decimal places.)     c. Compute the value of the test statistic. (Round your intermediate and final answer to 3 decimal places.)     d. At the 0.050 level, can we conclude that water consumption has increased?     e. Estimate the p-value.

Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
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The amount of water consumed each day by a healthy adult follows a normal distribution with a mean of 1.54 liters. A health campaign promotes the consumption of at least 2.0 liters per day. A sample of 10 adults after the campaign shows the following consumption in liters:

 

                   
1.35 1.68 1.76 2.00 1.84 1.84 1.50 1.82 1.86 1.60
 

 

At the 0.050 significance level, can we conclude that water consumption has increased? Calculate and interpret the p-value.

 

 Click here for the Excel Data File

 

a. State the null hypothesis and the alternate hypothesis. (Round your answers to 2 decimal places.)

 

 

b. state the decision rule for 0.050 significance level. (Round your answer to 3 decimal places.)

 

 

c. Compute the value of the test statistic. (Round your intermediate and final answer to 3 decimal places.)

 

 

d. At the 0.050 level, can we conclude that water consumption has increased?

 

 

e. Estimate the p-value.

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