Question

Just need d, e , and f

Turnout vs. Gore percentage p-value: 0.4356 Turnout vs. Bush percentage p-value: 0.386.2 Turnout vs. Buchanan percentage p-value: 0.0999 Turnout vs. Nader percentage p-value: 0.0130 Turnout vs. Total registered voters p-value: 0.0280 d. Select all the correlations that are significant at the 0.05 level. Gore percentage & Bush percentage Gore percentage & Buchanan percentage Gore percentage & Nader percentage Gore percentage & Total registered voters Gore percentage & Turnout percentage Bush percentage & Buchanan percentage Bush percentage & Nader percentage Bush percentage & Total registered voters Bush percentage & Turnout percentage Buchanan percentage & Nader percentage Buchanan percentage & Total registered voters Buchanan percentage & Turnout percentage Nader percentage & Total registered voters Nader percentage & Turnout percentage Total registered voters & Turnout percentage e. Select all the correlations that are significant when controlling the family-wise error rate at 0.05 using the Bonferroni correction. Gore percentage $ Bush percentage Gore percentage & Buchanan percentage Gore percentage & Nader percentage Gore percentage & Total registered voters Gore percentage & Turnout percentage Bush percentage & Buchanan percentage Bush percentage & Nader percentage □ Bush percentage & Total registered voters ם Bush percentage & Turnout percentage Buchanan percentage & Nader percentage Buchanan percentage & Total registered voters Buchanan percentage & Turnout percentage Nader percentage & Total registered voters Nader percentage & Turnout percentage Total registered voters & Turnout percentage f. Use the drop down menu to select "CI of Correlation". Which of the following are true of the correlation between Bush's percentage of the vote and the turnout percentage? (There are five correct answers; select all that apply. You have 5 attempts) The correlation is negative The correlation is positive The correlation is zero The 95% CI for ρ contains zero The 95% CI for p does not contain zero The 95% CI for p contains r Under repeated sampling, te 95% CI for ρ should contain p 95% of the time under repeated sampling, the 95% ci for, should contan zero 95% of the time Under repeated sampling, the 95% CI forp should contain r 95% of the time O The 95% CI for P suggests that ρ differs from zero The 95% CI for p suggests that ρ does not differ from zero The 95% CI for ρ does not suggest that ρ differs from zero # Florida-2000 6-Multivariate-JMP Δ ▼ Multivariate Δ Correlations Gore_Pct Bush_PctBuchanan_Pct Nader_Pct Total_Votes Total_Reg 0.2721 0.2498 0.4670 0.4719 0.2573 -0.2971 -0.4540 -0.4583 .0000 -0.3797 -0.3878 0.3802 0.3797 1.0000 0.0841 0.0708 0.3878 0.0841 1.0000 0.9983 0.3802 0.0708 0.9983 1.0000 GorePct Bush Pct Buchanan_Pct 0.2721 0.2573 Nader Pct Total_Votes Total_Reg 1.0000 0.9982 0.9982 1.0000 0.2498 0.2971 0.4670 -0.4540 0.4719 0.4583 Scatterplot Matrix 60 50 Gore Pct 40 30 20 60 Bush_Pct 30 Buchanan Pc 05 Nader Pct 500000 Total_Votes 200000 100000 800000 600000 400000 200000 Total_Reg 20 40 60 30 45 60 0 0.51 1.5 0.5 200000 0

Answer 1

Solution-

Hypotheses to test whether correlation is significant would be-

H₀: Correlation is not significant

H_a: Correlation is significant

Considering the p-values given in the 2nd table, we compare p-values with the level of significance 0.05

After comparsion we see that the correlations which have p-values less than 0.05 are -

Gore percentage $ Bush percentage
Gore percentage & Buchanan percentage
Gore percentage & Nader percentage
Gore percentage & Total registered voters
Bush percentage & Buchanan percentage
Bush percentage & Nader percentage
Bush percentage & Total registered voters
Buchanan percentage & Nader percentage
Buchanan percentage & Total registered voters
Nader percentage & Turnout percentage
Total registered voters & Turnout percentage

In these cases as p-value is less than 0.05 so null hypothesis is rejected at 5% level of significance and hence correlation is signifcant.

All other cases except these do not have significant correlation.

Answer

TY!