PSYC210 FINAL EXAM SCRIPT PAPER
ACTUAL QUESTIONS AND ANSWERS FULLY
SOLVED PREMIUM RESOURCE
●● Descriptive statistics
Answer: Statistics that summarize a sample's data, such as means,
medians, standard deviations, graphs, and percentages.
●● Inferential statistics
Answer: Statistics used to decide whether a sample result is likely to
reflect a real population effect rather than chance.
●● Variable
Answer: Anything that can vary or take different values across people,
conditions, or time.
●● Constant
Answer: Anything kept the same across participants or conditions so it
does not explain the results.
●● Independent variable (IV)
Answer: The variable the researcher manipulates or uses to form groups;
it is the suspected cause or predictor.
,●● Dependent variable (DV)
Answer: The outcome that is measured; it is expected to depend on the
IV.
●● Qualitative data
Answer: Data that place people or things into categories rather than
representing amounts.
●● Quantitative data
Answer: Numerical data representing amount, frequency, or magnitude.
●● Discrete variable
Answer: A numerical variable with separate, countable values, such as
number of siblings.
●● Continuous variable
Answer: A numerical variable that can take any value in a range, such as
height or reaction time.
●● Nominal scale
Answer: Categories with no meaningful order, such as major, eye color,
or movie genre.
, ●● Ordinal scale
Answer: Categories with a meaningful order but not necessarily equal
spacing, such as class rank or Likert ratings.
●● Interval scale
Answer: A numerical scale with equal intervals but no true zero, so
ratios are not meaningful.
●● Ratio scale
Answer: A numerical scale with equal intervals and a true zero, so ratios
are meaningful.
●● Sample
Answer: A smaller group selected from a population and actually studied
by the researcher.
●● Population
Answer: The full group the researcher wants to understand or make
claims about.
●● Statistic
Answer: A number describing a sample, such as a sample mean or
sample standard deviation.
ACTUAL QUESTIONS AND ANSWERS FULLY
SOLVED PREMIUM RESOURCE
●● Descriptive statistics
Answer: Statistics that summarize a sample's data, such as means,
medians, standard deviations, graphs, and percentages.
●● Inferential statistics
Answer: Statistics used to decide whether a sample result is likely to
reflect a real population effect rather than chance.
●● Variable
Answer: Anything that can vary or take different values across people,
conditions, or time.
●● Constant
Answer: Anything kept the same across participants or conditions so it
does not explain the results.
●● Independent variable (IV)
Answer: The variable the researcher manipulates or uses to form groups;
it is the suspected cause or predictor.
,●● Dependent variable (DV)
Answer: The outcome that is measured; it is expected to depend on the
IV.
●● Qualitative data
Answer: Data that place people or things into categories rather than
representing amounts.
●● Quantitative data
Answer: Numerical data representing amount, frequency, or magnitude.
●● Discrete variable
Answer: A numerical variable with separate, countable values, such as
number of siblings.
●● Continuous variable
Answer: A numerical variable that can take any value in a range, such as
height or reaction time.
●● Nominal scale
Answer: Categories with no meaningful order, such as major, eye color,
or movie genre.
, ●● Ordinal scale
Answer: Categories with a meaningful order but not necessarily equal
spacing, such as class rank or Likert ratings.
●● Interval scale
Answer: A numerical scale with equal intervals but no true zero, so
ratios are not meaningful.
●● Ratio scale
Answer: A numerical scale with equal intervals and a true zero, so ratios
are meaningful.
●● Sample
Answer: A smaller group selected from a population and actually studied
by the researcher.
●● Population
Answer: The full group the researcher wants to understand or make
claims about.
●● Statistic
Answer: A number describing a sample, such as a sample mean or
sample standard deviation.
