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PSY516 Quiz January 2026

Statistics in Psychology PDF 46 KBUpdated 23 Oct 2026
Quiz PSY516 Quiz January 2026 PDF 46 KB
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Type
Quiz
Course
PSY516 Statistics in Psychology
Size
PDF 46 KB
Updated
23 Oct 2026
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A collection of statistical methods that generally requires very few assumptions about the population distribution is known as: A. Semiparametric B. Parametric methods C. None of the above

D. Nonparametric methods

Pearson's Correlation Analysis is also known as:

A. Pearson's Product-Moment

B. Kruskal-Wallis Correlational Analysis C. Spearman's Correlation Analysis D. Chi-Squared Product-Moment

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

  1. Y = x2 + ab
  2. Y = bX + a
  3. Y = b2 + aX
  4. Y = aX + b

Correct answer: Y = aX + b

Which of the following refers to a statistical concept where several independent variables in a model are highly correlated?

  1. Multicollinearity
  2. Homoscedasticity
  3. Constant variance
  4. Linear relationship

Correct answer: Multicollinearity

Which of the following is a version of stepwise multiple regression?

  1. Backward deletion
  2. Stepwise regression
  3. All of above
  4. Forward selection

Correct answer: All of above

Selected Answer: C

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

  1. Correlation
  2. T-test
  3. Standard deviation
  4. Mean

Correct answer: Correlation

Which of the following type of data is used for the Spearman correlation?

  1. Nominal
  2. Ratio
  3. Interval
  4. Ordinal

Correct answer: Ordinal

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

  1. It measures the degree and the direction of the linear relationship between two variables.
  2. The relationship between two variables while controlling the influence of a third variable by holding it constant.
  3. All of the above
  4. It measures the degree and the direction of the non-linear relationship between two or more variables.

Correct answer: It measures the degree and the direction of the linear relationship between two variables.

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