STATISTICS

Statistics

Statistics

1) Input this data into SPSS and use SPSS to determine the following statistical parameters for PF for each of the six treatments. Report all your results to two decimal places in the following table

Treatment

Sample Size

Mean PF

Standard Deviation

Minimum PF

Maximum PF

Normal Media

 

2.928

0.149733

2.76

3.13

5

Normal Media + Carrier

 

2.954

0.14188

2.77

3.14

5

0.1ng/ml TGFb7

 

2.742

0.117771

2.59

2.87

5

1ng/ml TGFb7

 

2.756

0.145877

2.61

2.96

5

10ng/ml TGFb7

 

2.826

0.136125

2.68

3.01

5

100ng/ml TGFb7

 

2.904

0.122597

2.72

3.02

5

2) Explain what this output may indicate in terms of the effects of TGF?7 on cell proliferation.

The output obtained from the SPSS shows that the mean normal media of the sample is found to be 2.928 with standard deviation of 0.149 which is certainly low. But the reason of such small SD is the significantly small sample size which could lead to bias results. Similarly, the mean dosage of 0.1ng/ml TGFb7 given is 2.742 with a SD of 0.117 and on the other hand the mean dosage of 1ng/ml TGFb7, 10ng/ml TGFb7 and 100ng/ml TGFb7 is found to be 0.145, 0.136 and 0.122 respectively which is certainly on the lower side.

3) Determine if the PF data in the different treatment groups is parametrically or non-parametrically distributed. Give reasons for your answer for each treatment group. Quote Sig values to three decimal places.

The PF data in the different treatment groups is parametrically distributed. The reason for concluding these results is that the standard deviation of the variables is fairly close but on the other hand the sample size is also very small so one could not determine easily about the distribution.

4) Which test should be used to determine a) if differences in PF occurred between the different treatment groups, and b) which test should be used to determine where any differences occur?

To determine any differences occurred in PF between two treatment groups, we use the independent samples t - test. Using this test we can analyze the results using the mean of the two different treatment groups. Similarly, for determining the difference between multiple groups we use ANOVA. As, there are multiple treatment groups in our analysis, therefore ANOVA will be preferred.

Similarly, to determine the overall differences in the treatment i.e. a complete difference between the pre and post analysis of PF we used paired samples t - test.

5) Use the tests identified in the answer to question 4) to determine if there are differences in PF between the different treatment groups. In your answer quote mean differences to 2 decimal places and the Sig value to 3 ...