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Twenty laboratory mice were randomly divided into two groups of 10. Each group w

ID: 3130178 • Letter: T

Question

Twenty laboratory mice were randomly divided into two groups of 10. Each group was fed according to a prescribed diet. At the end of 3 weeks, the weight gained by each animal was recorded. Do the data in the following table justify the conclusion that the mean weight gained on diet B was greater than the mean weight gained on diet A, at the = 0.05 level of significance? Assume normality. (Use Diet B - Diet A.)


(a) Find t. (Give your answer correct to two decimal places.)


(ii) Find the p-value. (Give your answer correct to four decimal places.)

Diet A 7 14 7 7 13 8 6 7 10 8 Diet B 13 18 16 10 21 19 19 17 8 7

Explanation / Answer

a)

Formulating the null and alternative hypotheses,              
              
Ho:   u1 - u2   <=   0  
Ha:   u1 - u2   >   0  
At level of significance =    0.05          
As we can see, this is a    right   tailed test.      
Calculating the means of each group,              
              
X1 =    14.8          
X2 =    8.7          
              
Calculating the standard deviations of each group,              
              
s1 =    4.984420171          
s2 =    2.750757471          
              
Thus, the standard error of their difference is, by using sD = sqrt(s1^2/n1 + s2^2/n2):              
              
n1 = sample size of group 1 =    10          
n2 = sample size of group 2 =    10          
Thus, df = n1 + n2 - 2 =    18          
Also, sD =    1.800308616          
              
Thus, the t statistic will be              
              
t = [X1 - X2 - uD]/sD =    3.388307953   [ANSWER]      

where uD = hypothesized difference =    0      

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ii)              
  
              
Also, using p values,              
              
p =    0.001637608   [ANSWER]      
              

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Hi! If you use another method/formula in calculating the degrees of freedom in this t-test, please resubmit this question together with the formula/method you use in determining the degrees of freedom. That way we can continue helping you! Thanks!

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