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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