1. The problem is to match each histogram with its corresponding normal Q-Q plot given standardized data. 2. Histograms show frequency distributions; normal Q-Q plots assess how closely data follows a normal distribution by comparing sample quantiles to theoretical. 3. Female bii.di histogram spans approximately from -4 to 2 with frequencies up to 50. 4. Q-Q Plot A ranges theoretical quantiles -3 to 3 and sample quantiles from -2 to 5, showing some deviation from the straight line, indicating non-normality. 5. Female elb.di histogram spans roughly -3 to 3, frequencies to 40. 6. Q-Q Plot B follows the diagonal line closely, indicating good normality. 7. General age histogram spans about -1 to 4, frequencies up to 150. 8. Q-Q Plot C shows points tightly clustered around the diagonal, signaling good normality. 9. Female che.de histogram ranges -2 to 5, frequencies to 50. 10. Q-Q Plot D shows a curve, indicating the data deviates from normality. 11. Matching: - Female bii.di histogram with Q-Q Plot A because both show wider spread and non-linear Q-Q plot. - Female elb.di histogram with Q-Q Plot B as it shows nearly perfect normality. - General age histogram with Q-Q Plot C given high frequencies and close to normality in Q-Q. - Female che.de histogram with Q-Q Plot D due to the curved Q-Q pattern indicating non-normality. Final answer: - Female bii.di → Q-Q Plot A - Female elb.di → Q-Q Plot B - General age → Q-Q Plot C - Female che.de → Q-Q Plot D