1. Were the groups in this study independent or dependent? Provide a rationale for your answer.

The groups in this study are independent or unrelated groups that are formed by the random assignment of subjects to the treatment and comparison groups. Groups are selected from two different settings, two different points in time and are not matched in any way.

2. t –3.1 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. t= -3.15 describes the difference between women and men for Mental Health variable in this study. This value is significant since the t-test yields a p value, which is .002 less than alpha .05, it can cause the null hypothesis to be rejected.

3. Is t –1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study.

t –1.99 describes the difference in health functioning between women and men after a MI. It is significant on this study as the P value is 0.049 which is close and still less to the alpha 0.05 which is enough evidence to reject to the null hypothesis.

4. Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in this study? Is this t ratio significant? Provide a rationale for your answer.

The mental health t-ratio indicates the largest difference between the males and females post MI in this study. The t -score is -3.15. This t- ratio is significant since it is causing the p value to be significantly low, less than the alpha 0.05.

5. Consider t –2.50 and t –2.54. Which t ratio has the smaller p value? Provide a rationale for your answer. What does this result mean?

The t ratio with -2.54 has the smaller p value since larger the...

...1. Were the groups in this study independent or dependent? Provide a rationale for your answer.
Independently due to the data being collected independently
2. t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer.
t = -3.15 describes mental health in this study. This is significant because mental health plays a big role in the outcome of MI patients.
3. Is t = −1.99 significant?...

...PEARSON’S PRODUCT-MOMENT CORRELATION COEFFICIENT
ANSWERS TO EXERCISE 23
Question 1
The r value for the relationship between Hamstring strength index 60o and the Shuttle run test is -0.149. This r value shows a weak correlation between the two variables, as it is less than the 0.3 threshold for significance. Therefore, the r value is not significant.
Question 2
Between r=1.00 and r=-1.00, there is no difference in terms of strength. Both values are on the extreme ends of the...

...9Name: Brielle Cantagallo Class: Statistics
Date: 3/17/13
□ EXERCISE29 Questions to be Graded
* 1.Were the groups in this study independent or dependent? Provide a rationale for your answer.
The groups in this study were independent because the two sets of data were not taken from the same subjects. The subjects were in one group: female and the second group: male.
* 2.t = −3.15 describes the difference between women and men for what...

...Normal(88.532,5.07943)
Normal(97.1033,5.04488)
Normal(107.15,5.15367)
Summary Statistics
Mean
88.532
Std Dev
5.0794269
Std Err Mean
0.2271589
Upper 95% Mean
88.978306
Lower 95% Mean
88.085694
N
500
Sum
44266
Summary Statistics
Mean
97.103333
Std Dev
5.0448811
Std Err Mean
0.2912663
Upper 95% Mean
97.676525
Lower 95% Mean
96.530142
N
300
Sum
29131
Summary Statistics
Mean...

...Exercise29 - Statistics work book
SUMITHA THOMAS
GRAND CANYON UNIVERSITY
Exercise29 - Statistics work book
Name:____Sumitha K Thomas________________________________________ Class: ____________________
Date: ___3/10/2013______________________________________________________________________________
□ EXERCISE29 Questions to be Graded
1. Were the groups in this study...

...EXERCISE 36
6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide rationale for your answer.
ANOVA cannot be used to test proposed relationships or predicted correlations between variables in a single group because it is designed to test for correlations and interactions amongst groups, i.e. in the test group of patients with OA you are testing the correlations between those who do not use GI and PMR and...

...Annamma Thomas
Exercise29
1. The groups were independent because the men and women participating in the experiment did not share any relationships and their quality of life tests were totally independent of one another.
2. The variable described by this number is mental health. Since the P value is .002 and the alpha is .05, the difference can cause the null hypothesis to be rejected.
3. The T-Value is significant because the P value is .049 which is the...

...EXERCISE29 t-TEST FOR INDEPENDENT GROUPS I
STATISTICAL TECHNIQUE IN REVIEW
The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate, researchers often use it in...