Module 2: Quantitative Reasoning Flashcards
What is the first step in quantitative reasoning to obtain desired insights?
A) Building models
B) Framing concrete numerical questions
C) Analyzing results
D) Collecting random data
Answer: B
Q2: In quantitative reasoning, what follows after framing numerical questions?
A) Analyzing the results
B) Identifying tools and data for analysis
C) Ignoring the questions
D) Reporting findings
Answer: B
Q3: What is the purpose of building models in quantitative reasoning?
A) To create random patterns
B) To analyze data more effectively
C) To confuse the data
D) To discard unnecessary information
Answer: B
Q4: What does the “mean” represent in a dataset?
A) The midpoint of the range
B) The average behavior of data points
C) The lowest value
D) The most frequent value
Answer: B
Q5: What type of statistic is the mean in data distribution?
A) Range statistic
B) Point statistic
C) Frequency statistic
D) Variability statistic
Answer: B
Q6: What does standard deviation measure in a dataset?
A) The median of the data
B) The range of the data
C) The average deviation of a data point from the mean
D) The frequency of the data points
Answer: C
Q7: What does a higher standard deviation indicate about a dataset?
A) Narrower distribution
B) Wider distribution
C) No deviation from the mean
D) Increased correlation
Answer: B
Q8: Which of the following values represents a possible correlation coefficient?
A) 1.5
B) -2.0
C) 0.5
D) 2.0
Answer: C
Q9: A correlation coefficient close to -1 or 1 indicates:
A) No correlation
B) Stronger correlation
C) Random association
D) No relation to standard error
Answer: B
Q10: How does a higher correlation coefficient affect the standard error?
A) It increases the standard error
B) It decreases the standard error
C) It has no effect on the standard error
D) It doubles the standard error
Answer: B
