In research if two sets of data could come from two completely separate groups of participants. Which type of statistical tests will be appropriate for testing the tenability of null hypothesis?

• A) Post hoc test
• B) Repeated measure
• C) Independent t-test
• D) Wilcoxon T-test

ANOVA or F-test is also robust to moderate departures from normality when sample sizes are reasonably _______________ and are equal.

• A) Small
• B) Skewed
• C) Moderate
• D) Large

For two-way ANOVA, we calculate ___________ kinds of degrees of freedom.

• A) Two
• B) Three
• C) One
• D) Four

Which of the following is an advantage of ANOVA?

• A) All of the above
• B) It decides if the population mean is equal to a specific value or not
• C) It cannot tolerate data that is non-normal
• D) It performs all three comparisons simultaneously in one hypothesis test

The process of constructing a mathematical model or function that can be used to predict or determine one variable by another variable is called:

• A) Regression
• B) Correlation
• C) Residual
• D) Outlier plot

Which of the following is NOT an application of correlation coefficient?

• A) Prediction
• B) Variation
• C) Validity
• D) Reliability

What would be the best interpretation of Ho: ρ = 0?

• A) There is negative correlation
• B) There is no population correlation
• C) There is covariance
• D) There is real correlation

When there is a __________ linear relationship in Pearson correlation, every change in the X variable is accompanied by a corresponding change in the Y variable.

• A) Zero
• B) Positive
• C) Negative
• D) Perfect

Which of the following line has the smallest total squared error?

• A) Variable line
• B) Correlation line
• C) Best-fitting line
• D) Regression line

If two variables are moving in the same direction, it is called as____________ correlation.

• A) Linear
• B) Negative
• C) Positive
• D) Non-linear

Which of the following is a linear equation of a regression line?

• A) Y = b2 + aX
• B) Y = aX + b
• C) Y = x2 + ab
• D) Y = bX + a

Regression is a statistical technique for finding the best-fitting straight line for a set of data. This resulting straight line is called the ____________ line.

• A) Linear
• B) Residual
• C) Regression
• D) Correlation

Pearson's Correlation Analysis is also known as:

• A) Kruskal-Wallis Correlational Analysis
• B) Pearson's Product-Moment
• C) Chi-Squared Product-Moment
• D) Spearman's Correlation Analysis

Which of the following type of correlation measures the degree of monotonic relationship between two variables?

• A) Point-Biserial Correlation
• B) Phi-Coefficient
• C) Partial correlation
• D) Spearman Correlation

When the Pearson correlation formula is used with data from an ordinal scale (ranks), the result is called the _____________correlation.

• A) Point-Biserial Correlation
• B) Partial correlation
• C) Phi-Coefficient
• D) Spearman Correlation

Which of the following is a statistical technique that is used to measure and describe the relationship between two variables?

• A) T-test
• B) Standard deviation
• C) Mean
• D) Correlation

The population correlation is positive in a directional hypothesis. This type of hypothesis can be written statistically as:.

• A) H₁: ρ < 0
• B) H₁: ρ ≠ 0
• C) Hₒ: ρ ≤ 0
• D) Hₒ: ρ = 0

Which of the following refers to a hypothesis-testing procedure that is used to evaluate mean differences between two or more treatments (or populations)?

• A) Correlation
• B) Analysis of variance (ANOVA)
• C) Analysis of Regression
• D) Chi-square

Which of the following statistical technique allows a researcher to measure the relationship between two variables while eliminating the influence of a third variable?

• A) Phi-Coefficient
• B) Partial correlation
• C) Spearman Correlation
• D) Point-Biserial Correlation

Which of the following statement is true for the Pearson correlation?

• A) It measures the degree and the direction of the non-linear relationship between two or more variables.
• B) It measures the degree and the direction of the linear relationship between two variables.
• C) All of the above
• D) The relationship between two variables while controlling the influence of a third variable by holding it constant.