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Look at the Results in Table 1 Below -Based on These Results, Does an Increase in Gross Domestic

question 6

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Look at the results in Table 1 below.
Table 1: Culture and Democratic Survival
Dependent variable: Probability of Democratic Survival


 Independent variables  Model 1  Muslim majority 0.46(0.28)  Catholic majority 0.41(0.20)  GDP per capita 0.0001(0.00003)  Growth in GDP per capita 0.02(0.01)  Oil producer 0.43(0.31)  Effective number of ethnic groups 0.09(0.05)  Constant 1.88(0.28)  Observations 1784 Log-likelihood 161.41 Robust standard errors in parentheses. "greater than 90% significant;  greater than 95% significant;  greater than 99% significant. \begin{array}{lc}\hline \text { Independent variables } & \text { Model 1 } \\\hline & \\\text { Muslim majority } & -0.46(0.28) \\\text { Catholic majority } & -0.41^{*}(0.20) \\\text { GDP per capita } & 0.0001^{* *}(0.00003) \\\text { Growth in GDP per capita } & 0.02^{* * *}(0.01) \\\text { Oil producer } & 0.43(0.31) \\\text { Effective number of ethnic groups } & -0.09 * * *(0.05) \\\text { Constant } & 1.88^{*}(0.28) \\\text { Observations } & 1784 \\\text { Log-likelihood } & -161.41 \\\hline \text { Robust standard errors in parentheses. "greater than } 90 \% \text { significant; } \\{ }^{* *} \text { greater than } 95 \% \text { significant; }{ }^{* *} \text { greater than } 99 \% \text { significant. } \\\hline\end{array}
-Based on these results, does an increase in gross domestic product per capita significantly increase, decrease, or have no effect on the likelihood that a democracy will remain a democracy?

Understand the use of critical values in hypothesis testing and their relation to significance levels.
Understand the relationship between sample size and Type I error.
Calculate and interpret test statistics, critical values, and make conclusions in hypothesis testing.
Describe the use of p-value in testing hypotheses and making decisions.

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