• A researcher wishes to compare the proportion of men and women who voted in the last national election. Which of the following conclusion could NOT be drawn as the result of a survey?
  • that the proportion of men who voted is larger than the proportion of women who voted."
  • "... that the proportion of men who voted differs from the proportion of women who voted."
  • "... that the proportion of men who voted does not differ from the proportion of women who voted."
  • "... that the proportion of men who voted is smaller than the proportion of women who voted."
  • None of these (each statement is a possible conclusion).
• In a two-tailed test at 99% confidence level, which of the following statements is CORRECT:
  • There are two rejection regions with area of 0.01 each
  • There are two rejection regions with area of 0.005 each
  • Reject HO if the critical and calculated test statistics are not equal
  • The acceptance region is only on the left tail with area of 0.01
  • The rejection region is only on the left tail with area of 0.005
• In a one-tailed test at 90% confidence level, which of the following statements is CORRECT:
  • The rejection region is on either tail with area of 0.10
  • The acceptance region is only on the left tail with area of 0.01
  • There are two rejection regions with area of 0.01 each
  • Reject HO if the critical and calculated test statistics are not equal
  • There are two rejection regions with area of 0.005 each
• In a two-tailed test for null hypothesis of no difference between two groups in IQ level, the calculated t-statistic = 2.94 and the critical value is 2.571. Which of the following is a correct conclusion from this?
  • Not enough information to make a conclusion.
  • Accept HO because the calculated and critical value of t are close enough.
  • Accept HO, therefore there is no difference in IQ between the two groups.
  • Reject HO, therefore there is no difference in IQ between the two groups.
  • Reject HO, therefore there is difference in IQ between the two groups.
• Besides the alpha value, what other information is needed to find the critical value for t?
  • The Variance
  • Degrees of Freedom
  • The mean
  • The Standard Error
  • The Standard Deviation
• Besides the degrees of freedom, what other information is needed to find the critical value for t?
  • The mean
  • The Standard Error
  • Confidence level
  • The Variance
  • The Standard Deviation
• A survey was conducted to compare the level of anxiety between father and mother in selected households during the pandemic. Which of the following is the most appropriate hypothesis testing for this?
  • Conditional probability test.
  • One-sample Z test
  • ANOVA
  • Independent samples t-test.
  • Paired samples t-test
• Which of the following is the most appropriate hypothesis testing to compare the performance in final exam between two sections of Social Statistics?
  • Conditional probability test.
  • One-sample Z test
  • ANOVA
  • Independent samples t-test.
  • Paired samples t-test
• If the Pearson's correlation coefficient r for variables A and B is -0.80 and was found to be significant at alpha of .01, this means that:
  • Higher values of A are associated with lower values of B.
  • r is also significant at alpha of .05.
  • The confidence interval for r at alpha = .01 does not include 0.
  • All these options are correct.
  • HO of no correlation is rejected at alpha = .01
• ANOVA is used for this purpose.*
  • Testing significance of a proportion
  • Analyzing equality of variances between two groups.
  • Comparing the means of more than two groups.
  • Examining a scatterplot.
  • Comparing the means of two groups
• The area to the right of the calculated test statistic (e.g., t or F) is also called:
  • Acceptance region.
  • The P-value
  • Rejection region
  • The alpha-value
  • Critical value.
• n Regression Analysis, b in the regression line y = a + bx is:*
  • The alpha-value.
  • The independent variable.
  • The beta-value.
  • The intercept.
  • The slope.
• In Regression Analysis, a in the regression line y = a + bx is:*
  • The slope.
  • The alpha-value.
  • The intercept.
  • The beta-value.
  • The independent variable.
• In ANOVA test of hypothesis of no-difference between groups, the test statistic F is the ratio:
  • MSBetween / MSWithin
  • p-value / alpha-value
  • SSBetween / SSWithin
  • SSWithin / SSBetween
  • MSRegression / MSResidual
• In ANOVA test of hypothesis of no-difference between groups, rejecting the null hypothesis is logically followed by:
  • Post-Hoc analysis to identify which pairs of groups differ.
  • Determination of critical regions.
  • Calculation of the F-statistic.
  • Examining the scatterplot.
  • Determining the slope of the regression line.
• In Regression, the percent of variation in Y (the dependent variable) explained by variation in X (the independent variable) is called:
  • Determining the slope of the regression line.
  • The regression line
  • The R-Squared
  • The Total Sum of Squares
  • The residual
  • The coefficient