Quantitative Research Techniques + Statistics –
Peregrine| questions| with complete solutions
Course
Peregrine
Question 1:
What is the primary purpose of quantitative research?
A) To explore and understand meanings
B) To quantify problems and understand how prevalent they are
C) To develop theories
D) To analyze qualitative data
Answer: B) To quantify problems and understand how prevalent they are
Rationale: Quantitative research aims to quantify variables and analyze statistical
relationships to understand the extent of problems or phenomena.
Question 2:
Which of the following is a characteristic of a random sample?
A) It includes every individual in the population.
B) It is chosen based on convenience.
C) Each member of the population has an equal chance of being selected.
D) It is based on judgment rather than chance.
Answer: C) Each member of the population has an equal chance of being selected.
Rationale: A random sample ensures that each member of the population has an equal
opportunity to be included, reducing bias.
Question 3:
In hypothesis testing, what does a p-value represent?
A) The probability of the null hypothesis being true
B) The likelihood of observing the sample data given that the null hypothesis is true
C) The probability of a Type I error
D) The effect size of the study
Answer: B) The likelihood of observing the sample data given that the null hypothesis is true
Rationale: A p-value indicates how compatible the sample data are with the null hypothesis,
helping researchers decide whether to reject or fail to reject it.
,Question 4:
What type of variable is measured in a survey that asks participants to rate their
satisfaction on a scale from 1 to 10?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Answer: C) Interval
Rationale: Satisfaction ratings on a scale from 1 to 10 are considered interval variables
because they have meaningful intervals between values, but no true zero point.
Question 5:
Which statistical test would be appropriate to compare the means of two independent
groups?
A) Paired t-test
B) ANOVA
C) Independent t-test
D) Chi-square test
Answer: C) Independent t-test
Rationale: The independent t-test is used to compare the means of two separate groups to
determine if there is a statistically significant difference between them.
Question 6:
What is the purpose of a control group in an experimental study?
A) To provide a benchmark for comparison
B) To eliminate the need for randomization
C) To ensure all subjects receive the experimental treatment
D) To manipulate the independent variable
Answer: A) To provide a benchmark for comparison
Rationale: A control group serves as a baseline that researchers can compare against the
experimental group, helping to isolate the effects of the independent variable.
, Question 7:
What does a correlation coefficient of -0.85 indicate?
A) A weak negative relationship
B) A strong negative relationship
C) A strong positive relationship
D) No relationship
Answer: B) A strong negative relationship
Rationale: A correlation coefficient close to -1 indicates a strong negative relationship
between the two variables, meaning as one increases, the other decreases.
Question 8:
Which type of study design is best for determining causal relationships?
A) Descriptive study
B) Cross-sectional study
C) Experimental study
D) Observational study
Answer: C) Experimental study
Rationale: Experimental studies are designed to test causal relationships by manipulating
one or more independent variables and observing the effect on dependent variables.
Question 9:
Which of the following is a common measure of central tendency?
A) Standard deviation
B) Variance
C) Median
D) Range
Answer: C) Median
Rationale: The median is one of the measures of central tendency, representing the middle
value in a data set when it is ordered.
Question 10:
What does a confidence interval represent in research findings?
Peregrine| questions| with complete solutions
Course
Peregrine
Question 1:
What is the primary purpose of quantitative research?
A) To explore and understand meanings
B) To quantify problems and understand how prevalent they are
C) To develop theories
D) To analyze qualitative data
Answer: B) To quantify problems and understand how prevalent they are
Rationale: Quantitative research aims to quantify variables and analyze statistical
relationships to understand the extent of problems or phenomena.
Question 2:
Which of the following is a characteristic of a random sample?
A) It includes every individual in the population.
B) It is chosen based on convenience.
C) Each member of the population has an equal chance of being selected.
D) It is based on judgment rather than chance.
Answer: C) Each member of the population has an equal chance of being selected.
Rationale: A random sample ensures that each member of the population has an equal
opportunity to be included, reducing bias.
Question 3:
In hypothesis testing, what does a p-value represent?
A) The probability of the null hypothesis being true
B) The likelihood of observing the sample data given that the null hypothesis is true
C) The probability of a Type I error
D) The effect size of the study
Answer: B) The likelihood of observing the sample data given that the null hypothesis is true
Rationale: A p-value indicates how compatible the sample data are with the null hypothesis,
helping researchers decide whether to reject or fail to reject it.
,Question 4:
What type of variable is measured in a survey that asks participants to rate their
satisfaction on a scale from 1 to 10?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Answer: C) Interval
Rationale: Satisfaction ratings on a scale from 1 to 10 are considered interval variables
because they have meaningful intervals between values, but no true zero point.
Question 5:
Which statistical test would be appropriate to compare the means of two independent
groups?
A) Paired t-test
B) ANOVA
C) Independent t-test
D) Chi-square test
Answer: C) Independent t-test
Rationale: The independent t-test is used to compare the means of two separate groups to
determine if there is a statistically significant difference between them.
Question 6:
What is the purpose of a control group in an experimental study?
A) To provide a benchmark for comparison
B) To eliminate the need for randomization
C) To ensure all subjects receive the experimental treatment
D) To manipulate the independent variable
Answer: A) To provide a benchmark for comparison
Rationale: A control group serves as a baseline that researchers can compare against the
experimental group, helping to isolate the effects of the independent variable.
, Question 7:
What does a correlation coefficient of -0.85 indicate?
A) A weak negative relationship
B) A strong negative relationship
C) A strong positive relationship
D) No relationship
Answer: B) A strong negative relationship
Rationale: A correlation coefficient close to -1 indicates a strong negative relationship
between the two variables, meaning as one increases, the other decreases.
Question 8:
Which type of study design is best for determining causal relationships?
A) Descriptive study
B) Cross-sectional study
C) Experimental study
D) Observational study
Answer: C) Experimental study
Rationale: Experimental studies are designed to test causal relationships by manipulating
one or more independent variables and observing the effect on dependent variables.
Question 9:
Which of the following is a common measure of central tendency?
A) Standard deviation
B) Variance
C) Median
D) Range
Answer: C) Median
Rationale: The median is one of the measures of central tendency, representing the middle
value in a data set when it is ordered.
Question 10:
What does a confidence interval represent in research findings?
