Question

In: Statistics and Probability

For each of the following sets of results, compute the appropriate test statistic, test the indicated...

For each of the following sets of results, compute the appropriate test statistic, test the indicated alternative hypothesis, and compute the effects size(s) indicating their magnitude:

set Hypothesis μ0 n α
a) μ ≠ μ0 13 10.7 3.2 21 0.05
b) μ > μ0 97.5 99.8 8 18 0.01
c) μ < μ0 21.1 20 8.6 23 0.10

a)
Compute the appropriate test statistic(s) to make a decision about H0.
critical value =  ; test statistic =  
Decision:  ---Select--- Reject H0 Fail to reject H0

Compute the corresponding effect size(s) and indicate magnitude(s).
d =  ; Magnitude:  ---Select--- na trivial effect small effect medium effect large effect
r2 =  ; Magnitude:  ---Select--- na trivial effect small effect medium effect large effect

b)
Compute the appropriate test statistic(s) to make a decision about H0.
critical value =  ; test statistic =  
Decision:  ---Select--- Reject H0 Fail to reject H0

Compute the corresponding effect size(s) and indicate magnitude(s).
d =  ; Magnitude:  ---Select--- na trivial effect small effect medium effect large effect
r2 =  ; Magnitude:  ---Select--- na trivial effect small effect medium effect large effect

c)
Compute the appropriate test statistic(s) to make a decision about H0.
critical value =  ; test statistic =  
Decision:  ---Select--- Reject H0 Fail to reject H0

Compute the corresponding effect size(s) and indicate magnitude(s).
d =  ; Magnitude:  ---Select--- na trivial effect small effect medium effect large effect
r2 =  ; Magnitude:  ---Select--- na trivial effect small effect medium effect large effect

Solutions

Expert Solution

a)

Ho :   µ =   13  
Ha :   µ ╪   13   (Two tail test)
          
Level of Significance ,    α =    0.050  
population std dev ,    σ =    3.2000  
Sample Size ,   n =    21  
Sample Mean,    x̅ =   10.7000  
          
'   '   '  
          
Standard Error , SE = σ/√n =   3.2/√21=   0.6983  
Z-test statistic= (x̅ - µ )/SE =    (10.7-13)/0.6983=   -3.2937  
          
critical z value, z* =   ±   1.9600   [Excel formula =NORMSINV(α/no. of tails) ]
          
p-Value   =   0.0010   [ Excel formula =NORMSDIST(z) ]
Decision:   p-value≤α, Reject null hypothesis       
  

Cohen's d=|(mean - µ )/std dev|=   0.72 (large)
  

r² = d²/(d² + 4) =    0.11 (trivial )

b)

Ho :   µ =   97.5  
Ha :   µ >   97.5   (Right tail test)
          
Level of Significance ,    α =    0.010  
population std dev ,    σ =    8.6000  
Sample Size ,   n =    18  
Sample Mean,    x̅ =   99.8000  
          
'   '   '  
          
Standard Error , SE = σ/√n =   8.6/√18=   2.0270  
Z-test statistic= (x̅ - µ )/SE =    (99.8-97.5)/2.027=   1.1347  
          
critical z value, z* =       2.3263   [Excel formula =NORMSINV(α/no. of tails) ]
          
p-Value   =   0.1283   [ Excel formula =NORMSDIST(z) ]
Decision:   p-value>α, Do not reject null hypothesis       

d, r²= Na

c)

Ho :   µ =   21.1  
Ha :   µ <   21.1   (Left tail test)
          
Level of Significance ,    α =    0.100  
population std dev ,    σ =    8.6000  
Sample Size ,   n =    23  
Sample Mean,    x̅ =   20.0000  
          
'   '   '  
          
Standard Error , SE = σ/√n =   8.6/√23=   1.7932  
Z-test statistic= (x̅ - µ )/SE =    (20-21.1)/1.7932=   -0.6134  
          
critical z value, z* =       -1.2816   [Excel formula =NORMSINV(α/no. of tails) ]
          
p-Value   =   0.2698   [ Excel formula =NORMSDIST(z) ]
Decision:   p-value>α, Do not reject null hypothesis       

d=Na

r² =NA

please revert for doubt


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