Independent Samples Test

Students will use the document attached and answer the entire question in APA format. Please provide your answer directly underneath the question.
GG= Martian is Good. John is good
BG= Martian was bad. John is good.
GB= Martian is good, John is bad.
BB= Both are bad
1. Does John's sentence DEPEND on the experimental condition?
It's not significant because the ANOVA was greater than .05.
No, John's sentence does not depend on the condition (F = 1.188, P = 0.317). This is primarily because a Turkey Post hoc test revealed that the condition to determine the sentence was not statistically significant as it was greater than the p-value = 0.05 after taking BG and GB conditions compared to the GG. There was no significant difference between GB and BB.
Report

JohnToJail

GG=1, GB=2, BG=3, BB=4

Mean

N

Std. Deviation

1.00

7.8065

31

3.81593

2.00

6.5156

32

3.85312

3.00

8.3529

34

4.14058

4.00

7.1000

35

4.94648

Total

7.4470

132

4.24321

ANOVA

JohnToJail


Sum of Squares

df

Mean Square

F

Sig. (this is p)

Between Groups

63.883

3

MSB 21.294

1.188

.317

Within Groups

2294.746

128

MSW 17.928



Total

2358.629

131




There are no statistical differences. Therefore, John's sentence does not depend on the condition.
Multiple Comparisons

Dependent Variable: JohnToJail

Bonferroni

(I) GG, GB, BG, BB

(J) GG, GB, BG, BB

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval






Lower Bound

Upper Bound

1

2

1.29083

1.06703

1.000

-1.5687

4.1503


3

-.54649

1.05147

1.000

-3.3643

2.2713


4

.70645

1.04429

1.000

-2.0921

3.5050

2

1

-1.29083

1.06703

1.000

-4.1503

1.5687


3

-1.83732

1.04285

.483

-4.6320

.9574


4

-.58437

1.03560

1.000

-3.3597

2.1909

3

1

.54649

1.05147

1.000

-2.2713

3.3643


2

1.83732

1.04285

.483

-0.9574

4.6320


4

1.25294

1.01956

1.000

-1.4794

3.9852

4

1

-.70645

1.04429

1.000

-3.5050

2.0921


2

.58437

1.03560

1.000

-2.1909

3.3597


3

-1.25294

1.01956

1.000

-3.9852

1.4794

1 Does Gender impact how long John goes to jail?
Group Statistics


1=Female, 2=Male

N

Mean

Std. Deviation

Std. Error Mean

JohnToJail

1.00

85

7.8059

4.38619
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