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Preliminary data analyses indicate that it is reasonable to use at test to carry out the specified hypothesis test. Perform t
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Ho :   µ =   900  
Ha :   µ ╪   900   (Two tail test)
          
Level of Significance ,    α =    0.100  
sample std dev ,    s = √(Σ(X- x̅ )²/(n-1) ) =   153.7142  
Sample Size ,   n =    15  
Sample Mean,    x̅ = ΣX/n =    720.7333  
          
degree of freedom=   DF=n-1=   14  
          
Standard Error , SE = s/√n =   153.7142/√15=   39.6888  
t-test statistic= (x̅ - µ )/SE =    (720.7333-900)/39.6888=   -4.517  
          
critical t value, t* =    ±   1.7613   [Excel formula =t.inv(α/no. of tails,df) ]
          
Decision:  |test stat | > |critical value|, Reject null hypothesis       

conclusion : there is enough evidence to ssy that mean is different than 900

.................

Ho :   µ =   32.6  
Ha :   µ ╪   32.6   (Two tail test)
          
Level of Significance ,    α =    0.050  
sample std dev ,    s =    5.8000  
Sample Size ,   n =    15  
Sample Mean,    x̅ =   36.4000  
          
degree of freedom=   DF=n-1=   14  
          
Standard Error , SE = s/√n =   5.8/√15=   1.4976  
t-test statistic= (x̅ - µ )/SE =    (36.4-32.6)/1.4976=   2.537  
          
critical t value, t* =    ±   2.1448   [Excel formula =t.inv(α/no. of tails,df) ]
          


Decision: |test stat| > |critical value | Reject null hypothesis   

  
...........................

Please let me know in case of any doubt.

Thanks in advance!


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