In: Statistics and Probability
CORRELATION
1. A researcher is interested in how self-efficacy in statistics (how well you feel you can do statistics) is related to life enjoyment. He has his participants take a self-efficacy questionnaire and then a life enjoyment questionnaire. Both measures are on an 11-point scale. The data is as follows:
| participant | stats self-efficacy | life enjoyment | 
|---|---|---|
| A | 10 | 11 | 
| B | 9 | 10 | 
| C | 10 | 11 | 
| D | 11 | 11 | 
| E | 2 | 3 | 
| F | 10 | 10 | 
| G | 11 | 10 | 
| H | 10 | 9 | 
| I | 9 | 8 | 
| J | 10 | 11 | 
b. What are the null and research hypotheses?
c. What is the mean of X?
What is the mean of Y?
Find the deviances for both groups. (X – My) and (Y – My)
Multiply the deviances like in the lecture
Sum these.
What number do you get? ___________________________
This is the numerator
Square the deviances in X and Y
What is the Sum of Squares of X?
What is the Sum of Squares of Y?
What do you get when you multiply SSx and SSy?
_______________________________
Take the square root of that ____________________________
This is your denominator
d. What is r? ______________________
e. What is the critical value?
___________________________________
f. What is your decision? ______________________________
| x | y | (x-x̅)² | (y-ȳ)² | (x-x̅)(y-ȳ) | 
| 10 | 11 | 0.64 | 2.56 | 1.28 | 
| 9 | 10 | 0.04 | 0.36 | -0.12 | 
| 10 | 11 | 0.64 | 2.56 | 1.28 | 
| 11 | 11 | 3.24 | 2.56 | 2.88 | 
| 2 | 3 | 51.84 | 40.96 | 46.08 | 
| 10 | 10 | 0.64 | 0.36 | 0.48 | 
| 11 | 10 | 3.24 | 0.36 | 1.08 | 
| 10 | 9 | 0.64 | 0.16 | -0.32 | 
| 9 | 8 | 0.04 | 1.96 | 0.28 | 
| 10 | 11 | 0.64 | 2.56 | 1.28 | 
sample size ,   n =   10  
   
here, x̅ = Σx / n=   9.20   ,
    ȳ = Σy/n =   9.40
          
   
| ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
| total sum | 92 | 94 | 61.6 | 54.4 | 54.20 | 
| mean | 9.20 | 9.40 | SSxx | SSyy | SSxy | 
correlation coefficient ,    r = Sxy/√(Sx.Sy)
=   0.9363
..........
correlation hypothesis test  
   
Ho:   ρ = 0  
Ha:   ρ ╪ 0  
n=   10  
alpha,α =    0.05  
correlation , r=   0.9363  
t-test statistic = r*√(n-2)/√(1-r²) =   
    7.540
DF=n-2 =   8
  
critical t-value =    2.3060  
Decison: test stat > critical value, So, Reject Ho
.................
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