Project #85733 - Stat

          T    F    1. A Type I error is deciding that Ha: is supported when it is actually false.  
                   
          T    F    2. If there was a positive correlation between pay and job satisfaction for    
          men, but just the opposite for women, gender would be an example of a moderator.  
                   
          T    F    3. If A precedes B and the correlation between the two variables is r    
          = .78, it would be correct to say that A causes B.        
                   
          T    F    4. In a normal distribution, one would expect aproximately 68% of    
          the observations to fall within plus or minus one standard deviation.      
                   
          T    F    5. In a Chi-square test with two rows and three columns there      
          would be two degrees of freedom (df).          
                   
          T    F    6. Conducting true experiments with employees in organizations is relatively easy to do.   
                   
          T    F    7.  The best type of study to determine causality is a correlational design.  
                   
          T    F    8. If a researcher wanted to determine whether there was any      
          difference in the number of days missed by a group of employees after implementing  
          a particularly harsh program for unexcused absences, compared with the number of  
          days missed before the program was implemented, the correct test would be an    
          independent samples one-tailed ttest.          
                   
          T    F    9. If a researcher was not only interested in the relationship between    
          the perceived fairness of supervisory actions and job performance (sales in $),    
          both of which could be measured at a ratio level, but also in      
          predicting performance based on those perceptions of fairness, the      
          appropriate statistical procedure useful for making those predictions is    
          known as regression analysis.            
                   
          T    F    10. When a variable is standardized, the mean of the standardized    
          variable is always 1.              
                   
          T    F    11. If one wanted to determine if there was a difference in income    
           between West Virginians, Kentuckians, and Virginians, the correct test     
           to use would be a two-tailed t test.            
                   
          T    F    12. If the ttest resulted in a t of -2.56 and the critical value for the    
           t was 1.96, one would conclude that the Ha was supported.      
                   
          T    F    13. If one wanted to determine if whether employees liked Health    
          Plan A or Health Plan B based on their age, annual income, and weight,    
          the correct statistical technique would be basic multiple regression.      
                   
          T    F    14. If one wanted to determine if income is predicted by whether one    
          was born in a large or small city, reared by one or both parents, and       
          the number of years of education, an appropriate technique to use would be dummy  
          variable regression.              
                   
          T    F    15. If the computed chi-square excedes its critical value, one should    
          reject Ha and conclude that Ho is supported.          
                   
Questions 16 - 20 (3 pts. Each)              
                   
     16.  In a study of marital status (single, married, or married with children in the home)  
     and how happy the employee was with the job (not happy, ok, or happy), the calculated  
     chi square resulted in a value of 8.22.  What would you conclude?  Why?      
                   
                   
                   
     17.  You want to see if blue collar workers miss fewer days of work a month    
       after a program designed to improve employee morale was implemented.    
     .  What statistical technique or test would you use?  Be specific!      
                   
                   
                   
     18.  You are interested in determining whether there's a statistically significant difference  
       in attendance at your company picnic where 153 out of the 223 hourly workers     
       attended and 52 of the 121 salaried workers attended (alpha = .05).  What do you conclude and why?
                   
                   
                   
                   
      19.  In a normal distribution with a mean of 30 and a standard deviation of 9.8,    
            what is the probability that an observation would be below 32?      
            Show your work!              
                   
                   
                   
                   
      20.  In a comparison of line versus staff employees in terms of the number of days    
             missed in a year and with the question of do line miss more days than staff,    
             the sample of 25 individuals resulted in a t of -1.88 and the mean number of days  
             missed by line was 12.3 while the mean number of days missed by staff was 9.1.  
             What do you conclude and why?            

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