In: Statistics and Probability
| The following information was obtained from independent random samples. The Degrees of Freedom have be calculated to be 19. The Standard Deviations are Unknown. | ||||||
| Small Sample Size: Use t-value | ||||||
| Sample 1 | Sample 2 | |||||
| Sample Mean | 45 | 42 | ||||
| Sample Variance | 85 | 90 | ||||
| Sample Standard Deviation | ||||||
| Sample Size | 10 | 12 | ||||
| Standard Error | ||||||
| Confidence Coefficient | 0.95 | |||||
| Level of Significance | ||||||
| Degrees of Freedom | 19 | |||||
| t-value | ||||||
| Margin of Error | ||||||
| Point Estimate of Difference | 3 | |||||
| Lower Limit | ||||||
| Upper Limit | ||||||
| The 95% confidence interval for the difference between the two population means is | ||||||
| to | ||||||
Degree of freedom, DF=      
19          
t-critical value =    t α/2 =   
2.093   (excel formula
=t.inv(α/2,df)      
          
       
          
       
          
       
std error , SE =    √(s1²/n1+s2²/n2) =   
4.000          
margin of error, E = t*SE =    2.093  
*   4.000   =   8.3721
          
       
difference of means = x̅1-x̅2 =    45.0000  
-   42.000   =   3.0000
confidence interval is       
           
Interval Lower Limit = (x̅1-x̅2) - E =   
3.0000   -   8.372   =  
-5.3721
Interval Upper Limit = (x̅1-x̅2) + E =   
3.0000   -   8.372   =  
11.3721
CI (-5.3721 , 11.3721)
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