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Chi-Square Test; - ANOVA; D  Thesis

H1: There is a significant relationship between commuting and gender.

SPSS results showed that generally, respondents went to work by driving a car. Directionally, females are more likely to take the passenger train (73%), while more than the majority of male respondents work at home (62%). However, these findings are not significant, and the X2 asymp. sig value of 0.101 showed that p< 0.05, which means that Ho is retained -- that is, there is no significant relationship between commuting and gender.

To determine the significance of the relationship between the variables savings and loans and other financiers, an independent samples t-test will be conducted as the statistical analysis. The null hypothesis for this analysis is:

Ho: There is no significant difference between savings and loans and other financiers in the average payback period necessary to justify solar heating systems for residences.

To conduct the t-test, the following formula will be used:

observed difference between sample means / standard error of the difference between means

X1-X2 / S (x1-x2) where: S (x1-x2) = ?sx12 + sx22

Applying the given data to the formula above, we get:

Savings & Loans

Other Financiers

Sample mean

Standard error

S (x1-x2)

beer and soda both for non-directional (two-tailed) and directional (one-tailed) tests, as reflected in the p values of the variables, wherein p>.05 -- 0.06 and 0.13, respectively.

Garrett, H. 1962. Elementary Statistics. NY:McKay.

Sources used in this document:
At t=0.41 and df=12, the difference between t between managers from the West and East and their evaluation ratings represent no real difference between the larger population of these two groups. Thus, null hypothesis is retained.

Looking at the Excel output, the results generated showed that there is no significant difference between beer and soda both for non-directional (two-tailed) and directional (one-tailed) tests, as reflected in the p values of the variables, wherein p>.05 -- 0.06 and 0.13, respectively.

Garrett, H. 1962. Elementary Statistics. NY:McKay.
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