Note
In both assignments I used SPSS version 16; thus, the order of variables and number of decimal places may differ slightly from the material provided in the .pdf file. However, same values as those in the .pdf paper were obtained as evident from the SPSS output. In addition, no criterion was provided to decide the cut off point for traditional and non-traditional groups. In this data analysis report, the cut off used for the traditional and non-traditional groups was based on age, where those below 25 years old are classified as non-traditional while those of age 25 years and above are classified as traditional.
Data Analysis For Report
Table 1.
Demographic variables for traditional and non-traditional groups
|
|
|
Traditional
|
Non-traditional
|
Total |
||
|
Sex |
Males Females |
n=6 n=24 |
n= 40 n=101 |
n=46 n=125 |
||
|
Previous Math Experience |
Less than Year 12 Year 12 Tertiary |
n=14 n=9 n=7 |
n=58 n=75 n=8 |
n=72 n=84 n=15 |
||
|
Age |
Median=38 Min= 25 Max=52 n=30 |
Median=19 Min= 17 Max=24 n=141 |
Median=19 Min= 17 Max=52 N=171 |
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The table above shows comparison between the two age groups: the traditional and the non-traditional. The overall number of the traditional group, which comprises 30, is way below the non-traditional one, comprising 141. There are more females than males within the non-traditional group. One should also note that in the traditional group the biggest number (14) has less than 12 years of math experience while the biggest number in the non-traditional group belongs to those with 12 years of math experience. The median age for the traditional group is 38 and that of the non-traditional group is 19 while that of both groups combined is 19.
Mean Comparison between traditional and non-traditional groups
|
Report |
||||
|
|
|
Age Group |
||
|
|
|
Non-traditional |
Traditional |
Total |
|
Anxiety |
Mean |
42.73 |
43.50 |
42.87 |
|
Std. Deviation |
10.711 |
11.041 |
10.741 |
|
|
N |
141 |
30 |
171 |
|
|
Attitude |
Mean |
49.74 |
54.13 |
50.51 |
|
Std. Deviation |
7.044 |
9.239 |
7.631 |
|
|
N |
141 |
30 |
171 |
|
|
Computer |
Mean |
81.73 |
75.93 |
80.71 |
|
Std. Deviation |
11.430 |
17.603 |
12.859 |
|
|
N |
141 |
30 |
171 |
|
T-Test Hypothesis Testing
|
One-Sample Test Anxiety |
|||
|
|
|
|
Anxiety |
|
Test Value = 0 |
t |
52.188 |
|
|
df |
170 |
||
|
Sig. (2-tailed) |
.000 |
||
|
Mean Difference |
42.865 |
||
|
95% Confidence Interval of the Difference |
Lower |
41.24 |
|
|
Upper |
44.49 |
||
At 95% confidence interval the p value is 0.00. The lower and upper bounds are 41.24 and 44.49 respectively.
|
One-Sample Test for Attitude |
|||
|
|
|
|
Attitude |
|
Test Value = 0 |
t |
86.548 |
|
|
df |
170 |
||
|
Sig. (2-tailed) |
.000 |
||
|
Mean Difference |
50.509 |
||
|
95% Confidence Interval of the Difference |
Lower |
49.36 |
|
|
Upper |
51.66 |
||
At 95% confidence interval the p value is 0.00. The lower and upper bounds are 49.36 and 51.66 respectively.
|
One-Sample Test computer |
|||
|
|
|
|
Computer |
|
Test Value = 0 |
t |
82.082 |
|
|
df |
170 |
||
|
Sig. (2-tailed) |
.000 |
||
|
Mean Difference |
80.713 |
||
|
95% Confidence Interval of the Difference |
Lower |
78.77 |
|
|
Upper |
82.65 |
||
At 95% confidence interval the p value is 0.00. The lower and upper bounds are 78.77 and 82.65 respectively.
