ASSIGNMENT

Assignment

Assignment

Lab 2 Reassessment

Question 1

Descriptive Statistics

Mean

Std. Deviation

N

Suicide

6.4000

1.89737

10

Non-Suicide

3.5000

1.50923

10

The result of the above table is presenting the mean of the variables that are used in analyzing the data that are suicide and non-suicide. The most important values of the above table that are means and the standard deviation of the variables are vital to study as these values are reflecting the accurateness of the data which has been collected from the participants. From the above table, it is observed that the standard deviation of the suicide is high in comparison to non-suicide.

Correlations

Suicide

Non-Suicide

Suicide

Pearson Correlation

1

.582

Sig. (2 - tailed)

.078

N

10

10

Non-Suicide

Pearson Correlation

.582

1

Sig. (2 - tailed)

.078

N

10

10

The results for the data presents that there is no correlation between the suicide and non-suicide. In addition to this, the significance value is not statistically significant for the reason that it is value is greater than 0.05 reflecting no correlation. Thus, suicide and non-suicide are important for Prefrontal Cortex. However, if there were correlation, the correlation will be negative as the Pearson correlation coefficient reflects that the value of Pearson correlation coefficient is in positive that is 0.582 which reflects that there would be positive correlation between the suicide and non-suicide.

Question 2

Descriptive Statistics

Mean

Std. Deviation

N

Relapsed

5.3750

2.87539

8

Non-smoker

11.3333

3.20416

6

In the above case which focuses on the relapsed and non-smoker, it is found that the means of the variables are 5.37 and 11.33 respectively; furthermore, the standard deviation of the variables are 2.8 and 3.2 respectively. This shows that many people are non-smoker.

Correlations

Relapsed

Non-smoker

Relapsed

Pearson Correlation

1

.505

Sig. (2 - tailed)

.307

N

8

6

Non-smoker

Pearson Correlation

.505

1

Sig. (2 - tailed)

.307

N

6

6

The correlation statistics reflects that there is no correlation between relapsed and non-smoker. Moreover, the significance value is not statistically significant for the reason that it is value is greater than 0.05 showing no correlation. Thus, relapsed and non-smoker are important for self efficacy. However, if there were correlation, the correlation will be negative as the Pearson correlation coefficient reflects that the value of Pearson correlation coefficient is in positive that is 0.505 which presents that there would be positive correlation between the relapsed and non-smoker.

Question 3

Descriptives

Likelihood of charge

N

Mean

Std. Deviation

Std. Error

95 % Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

Low

5

3.2000

1.92354

.86023

.8116

5.5884

1.00

6.00

Moderate

5

5.2000

1.48324

.66332

3.3583

7.0417

3.00

7.00

High

5

7.8000

1.30384

.58310

6.1811

9.4189

6.00

9.00

Total

15

5.4000

2.44365

.63095

4.0468

6.7532

1.00

9.00

The descriptive statistics of likelihood of charge in relation to level of violence shows that mean of likelihood of charge for the low level of violence is 3.2 with the standard deviation of 1.92, the mean of likelihood of charge for the moderate level of violence is 5.2 with the standard deviation of 1.4 and the mean of likelihood of charge for the high level of violence is 7.8 with the standard deviation of 1.3. From the above table, it is found that the standard deviation of the likelihood of charge for the low level of violence is high that is 1.9 as compared to likelihood of charge for the moderate and high level of violence.

ANOVA

Likelihood of charge

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

53.200

2

26.600

10.500

.002

Within Groups

30.400

12

2.533

Total

83.600

14

From the above analysis of variance table, it can be said that the model is significant as the significance value for the likelihood of charge in relation to level of violence is statistically ...