From the output and questions I answered below, I need to answer these 3 questions, and I need help meeting the word quota, been stuck on this for 4 days and nobody has answered yet. Thank you!!

1. Briefly summarize what you found in your analysis (250 words).
2. Briefly discuss the limitations of the design of this study and did the results of your analysis provide strong evidence of a causal association (250 words).
3. Provide an overview of a study to better address this hypothesis to include the hypothesis, the design, the population, the comparison group, and variable measurement (500 words).

1. Use the independent sample T-test to compare the homicide rate of states with no death penalty with those states with a death penalty.

2. How many states currently have the death penalty for homicide?

I found that 29 states currently have the death penalty for homicide.

3. Is the homicide rate higher in death penalty or non-death penalty states?

I found that the homicide rate is higher in death penalty states. The mean in no death penalty states is 4.1095 versus death penalty which is 6.8621.

4. Is the difference between these states statistically significantly different?

The difference between these states is statistically significantly different with equal variances assumed it has a significance of .613 which is greater than .05, thus causing the difference to be statistically different.

5. Describe three limitations with this analysis including a discussion of the ecological fallacy.

Three limitations with the analysis is one, that the population of the states vary meaning that it could potentially have higher crime rates due to a higher population. The numbers could be different if homicides are not reported, thus skewing the study, and the ecological fallacy is that the states with the death penalty would have less homicides considering the punishment is so harsh, however, the research shows the opposite.

6. Are you convinced about the validity of the analysis?

I feel like high crime areas do not take punishment into consideration in whether they will commit the crime. There can be a variety of factors that can cause crime, so I do not feel as those this specific analysis is valid in the that the death penalty equals lower homicide rates.

6 Output Log T-TEST GROUPS=Death Penalty (1) /MISSINGEANALYSIS /VARIABLES=HomocideRate /CRITERIA=CI(.95). E T-Test Title Notes Independent San O Group Statistics T-Test Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means Sig. (2- tailed) Mean Difference F t df 95% Confidence Interval of the Difference Lower Upper -4.69262 -.81247 Std. Error Difference .96491 Sig. .613 Homocide Rate .259 -2.853 48 .006 -2.75255 Equal variances assumed Equal variances not -2.835 42.284 .007 -2.75255 .97076 -4.71123 -.79386 assumed Group Statistics N Std. Deviation Std. Error Mean DeathPenalty HomocideRate No Death Penalty Death Penalty 21 Mean 4.1095 6.8621 3.43990 3.31484 .75065 .61555 29 6 Output Log T-TEST GROUPS=Death Penalty (1) /MISSINGEANALYSIS /VARIABLES=HomocideRate /CRITERIA=CI(.95). E T-Test Title Notes Independent San O Group Statistics T-Test Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means Sig. (2- tailed) Mean Difference F t df 95% Confidence Interval of the Difference Lower Upper -4.69262 -.81247 Std. Error Difference .96491 Sig. .613 Homocide Rate .259 -2.853 48 .006 -2.75255 Equal variances assumed Equal variances not -2.835 42.284 .007 -2.75255 .97076 -4.71123 -.79386 assumed Group Statistics N Std. Deviation Std. Error Mean DeathPenalty HomocideRate No Death Penalty Death Penalty 21 Mean 4.1095 6.8621 3.43990 3.31484 .75065 .61555 29