# Spss Work Harvard Case Solution & Analysis

## Spss Work Case Study Help

At last, the coefficient of determination (R square) is a measure to find the variation in one variable against the variation in others. The value of R Square = 0.164 indicates that if variation occurs in one variable it will allow around 16 percent changes in other variables. These changes also allow us to make a weak estimate that thepersonality traits (OCEAN) of the participants will affect the difference between the first week one and sixth week’s responses.

Independent Sample T-Test:

Research Question:

Is there a statistically significant difference in the income level, saving and house price of the participants in the two groups: experiment and control?

Null Hypothesis:

There is not a statistically significant difference in the income level, saving, and house price of the participants by the two groups: experiment and control.

Alternate Hypothesis:

There is a statistically significant difference in the income level, saving and house price of the participants in the two groups: experiment and control.

Firstly, the Levene’s table in Exhibit 4 of the document shows the significance level of 0.206 (higher than the significance level of 0.05), which does not provide strong statistical significant differences to reject the null hypothesis which statesthe population variance in the income level of the participants by the two groups, experiment, and control are equal. In addition to this, the Levene’s table in Exhibit 4 of the document also shows the significance level of 0.831 (higher than the significance level of 0.05) which does not provide any strong statistical significant difference to reject the null hypothesis which states thatthe population variance in the house price of the participants by the two groups, experiment and control are equal. At last, the Levene’s table in Exhibit 4 of the document shows the significance level of 0.519 (higher than the significance level of 0.05) which does not provide any strong statistical significant difference to reject the null hypothesis, which states thatthe population variance in the savings of the participants by the two groups, experiment and control are equal.

The ANOVA table in Exhibit 4 of the document is showing the significance level of 0.007 (lower than the significance level of 0.05) that is providing strong statistical significant differences to reject the null hypothesis which states thatthere isn’t any statistically significant difference in the income level of the participants by the two groups: experiment and control and to conclude the alternate hypothesis which states that there is a statistically significant difference in the income level of the participants by the two groups: experiment and control. In addition to this, the ANOVA table in Exhibit 4 of the document also shows the significance level of 0.08 (higher than the significance level of 0.05) that does not provideany strong statistical significant differences to reject the null hypothesis which states thatthere isn’t a statistically significant difference in the house price of the participants by the two groups: experiment and control.Hence, it does not conclude the alternate hypothesis, which states that there is a statistically significant difference in the house price of the participants by the two groups: experiment and control. At last, the ANOVA table in Exhibit 4 of the document also shows the significance level of 0.877 (higher than the significance level of 0.05) that does not provide any strong statistical differences to reject the null hypothesis which states thatthere isn’t any statistically significant difference in the savings of the participants by the two groups, experiment and control.Hence, it does not conclude the alternate hypothesis, which states that there is a statistically significant difference in the savings of the participants by the two groups: experiment and control..................................

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