Elementary Statistics   To my question need a good analysis of...

Elementary Statistics

To my question need a good analysis of some statistical questions I've written with excellent explanations for clarity and formatting. 

In a recent advertisement, Gillette claimed that their new Crazy Daisy shaver shaves legs smoother, closer, and safer than any other single-blade disposable razor for women.

After shaving each leg with a different razor (Crazy Daisy versus the Lady Bic) according to their own routine, women rated each shaver on smoothness, closeness, and safety.  A composite score of those three attributes ranging from 1-10 was used to test for overall average group differences. 

Assume the experiment was conducted three different times with three different groups of women.  Answer the questions for each experiment using the following output. 

                                        Experiment A             Experiment B               Experiment C

Sample Size                            26                                26                                36

Mean 1 (Gillette)                    7.71                             6.61                             7.01

Stand Dev 1 (Gillette)            1.05                             2.35                             2.11

Mean 2 (Bic)                          5.96                             6.44                             6.5

Stand Dev 2 (Bic)                   .37                               1.01                             1.87

Test statistic (t)                       2.15                             2.079                           2.006

Critical value                          -2.05, 2.05                   2.21                             1.87

P-value                                    .041                             .12                               .0597

Significance level                   .05                               .10                               .05

F-test P-value                         .29                               .18                               .44                   

Answer or comment about the following for each experiment.

1. In general, what is the null hypothesis when testing two sample means? __________________________________________________________________________

2. What type of statistical tests were conducted in the experiments? ___________, __________

3. Could a different type of test have been used for the experiments? _____________________

4. What type of variables were used in the study (qualitative or quantitative/discrete or continuous)?

      Razor ____________   ____________   Score ____________   ____________

5.  What level of measurement were the variables on?

      Razor _________________________    Score _________________________

6.  Were the samples independent or dependent?  __________________________

1. Elementary Statistics

: Hypothesis Testing

7.  What numbers are being compared in the t-test ________________ and the F-test? 

      __________________  (means, proportions, variances)

8. How many participants were in each study? A_________   B__________  C___________

9. Which number from the output is compared to the significance level to check if the null    

    hypothesis should have been rejected?  _________________________________________

10. Which number from the output gives the probability of a type-I error that is calculated from  

     the sample data? __________________________________________________________

11. Was a right, left, or two-tailed test run?    A ___________  B __________  C __________

12. Would there be a statistically significant difference between the means if the significance  

       level was set at .10.                                    A __________    B __________   C __________

13.  What determines if the variances need to be pooled in the test statistic? _______________

14.  Which number from the output shows the pre-determined probability of a type-1 error?

        ________________________________________________________________________

15.  Which number from the output is compared to the critical value to check to see if the null  

       hypothesis should have been rejected? _________________________________________

16.  In each experiment, should the null hypothesis have been accepted or rejected?

    A ____________    B _____________    C _____________

17.  What type of error (type I or type II) could have been made on experiment?

    A_____________   B______________   C_____________

18.  In each experiment, was there a statistically-significant difference between the means?

    A ____________    B _____________    C _____________

19.  What does the F-test test? ___________________________________________________

20.  Have the experiments proven that one shaver is better than the other? _____________