Dissertation Creation - The UK's original provider of custom dissertations and dissertation help...

Free Dissertations - Statistics Dissertations

000 Can Be Performed With Relative Ease. to Do This, Each Response From Each ...

000 can be performed with relative ease.
To do this, each response from each survey item for the testing of a particular hypothesis was repositioned to represent a long line of responses tested against a hypothetical mean of 3.000 for each case. In the case of 118 respondents to the 5 questions addressing an awareness, a column of 590 (118 x 5) responses was created to utilize Excels abilities and limitations to process data in this way.
Testing Protocol
In analyzing these constructed data sets, the t-test assuming equal variance was performed after confirming that most data did indeed conform to a roughly normal distribution. This test was selected over others largely due to the exclusion of other tests similar in design yet more appropriate to other cases. For example, this data set is clearly not a paired sample and one cannot assume unequal variances. In addition, the F-test feature could have been utilized but the Excel t-test algorithm provides additional information such as both a one- and two-tailed estimate of probability. Finally, the utilization of ANOVA tests is highly appropriate for an analysis of variance overall yet is not ideal for comparing each mean to the hypothetical construct µ = 3.000.
Primary Results
The summary results for each test are presented below:
Mean Test v. Mean Awareness
 
 

Comment: Not statistically significant as p>.05

 

 

 

t-Test: Two-Sample Assuming Equal Variances

 

 

 

 
Test
Awareness

Mean
3
3.0302521

Variance
0
0.66911694

Observations
595
595

Pooled Variance
0.334558
 

Hypothesized Mean Difference
0
 

df
1188
 

t Stat
-0.90212
 

P(T<=t) one-tail
0.183589
 

t Critical one-tail
1.646137
 

P(T<=t) two-tail
0.367177
 

t Critical two-tail
1.961963
 


Mean Test v. Mean H1 (Values)
 
 

Comment: Highly statistically significant increase as p<.001

 

 

t-Test: Two-Sample Assuming Equal Variances

 

 

 

 
Test
H1

Mean
3
4.3907563

Variance
0
0.46965158

Observations
952
952

Pooled Variance
0.234826
 

Hypothesized Mean Difference
0
 

df
1902
 

t Stat
-62.6155
 

P(T<=t) one-tail
0
 

t Critical one-tail
1.645655
 

P(T<=t) two-tail
0
 

t Critical two-tail
1.961212
 



Mean Test v. Mean H2 (Innovation)
 
 

Comment: Highly statistically significant decrease in innovationas p<.001

 

 

t-Test: Two-Sample Assuming Equal Variances

 

 

 

 
Test
H2

Mean
3
2.86834734

Variance
0
0.56609348

Observations
714
714

Pooled Variance
0.

Please note: The above dissertation snippet was written by a student and then submitted to us to display and help others. Thanks to all the students who have submitted their work to us.