In: Math
Use the data below to answer the questions in this assignment.
You will first need to enter the following data in SPSS with “age” and “hours” as your variable names.
Age and Hours on Computer Data
Age (X): 24, 23, 23,25,27, 21,21,30,21,29
Number of hours on spent on computer per week (Y): 14,24,18,23,19,23,16,10,6,15
This question is only being used to describe the data set. In the box below you only need to enter 0.
Run a correlation analysis in SPSS to test whether or not there is a relationship between age and hours.
Statistical Significance:
Based on your SPSS results, state the specific probability that the r coefficient (i.e., correlation) value found was due to error and comment on whether or not your results are statistically significant.
Practical Significance:
Based on your SPSS results, state the value of the effect size and comment on whether the effect is practically significant.
Here the correlation between the two variable x nad y is
R = -.167
Means there is Negative correlation between the two variable X and Y.
Hypothesis
H0 = r=0 V/S H1 = r ≠ 0
R = -0.167
P value = 0.644
P value > alpha
Hence we accept H0 at 5% LOS and conclude the r = 0
There is no correlation between the two variable.
Effect Size
Descriptive Statistics |
|||
Mean |
Std. Deviation |
N |
|
X |
24.4000 |
3.30656 |
10 |
y |
16.8000 |
5.86515 |
10 |
Correlations |
|||
X |
y |
||
X |
Pearson Correlation |
1 |
-.167 |
Sig. (2-tailed) |
.644 |
||
N |
10 |
10 |
|
y |
Pearson Correlation |
-.167 |
1 |
Sig. (2-tailed) |
.644 |
||
N |
10 |
10 |