Practice Test Geeks(CRS) Certified Research Specialist Practice Test
← All CRS Flashcard Decks

Statistical Analysis & Software Flashcards

7 cards from real CRS practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Statistical Analysis & Software flashcards as text

  1. A market researcher wants to segment customers into distinct groups based on purchasing behavior without predefined categories. Which technique is most appropriate?

    Answer: Cluster Analysis

    Cluster analysis is an unsupervised technique that groups observations into homogeneous clusters based on similarity without requiring predefined group membership.

  2. What is the purpose of applying a Bonferroni correction in statistical analysis?

    Answer: To control the familywise error rate when conducting multiple comparisons

    The Bonferroni correction divides the significance threshold (alpha) by the number of comparisons to control the probability of making at least one Type I error.

  3. In Excel, which function calculates the Pearson correlation coefficient between two data ranges?

    Answer: =CORREL()

    The =CORREL() function in Excel returns the Pearson correlation coefficient between two data arrays.

  4. Which assumption of linear regression states that the predictor variables should not be perfectly correlated with each other?

    Answer: No multicollinearity

    The no multicollinearity assumption requires that predictor variables are not perfectly or highly correlated, as this destabilizes coefficient estimates.

  5. When a researcher reports 'M = 45.3, SD = 6.7', what information is being conveyed?

    Answer: The mean and standard deviation summarizing central tendency and spread

    M denotes the arithmetic mean (central tendency) and SD denotes the standard deviation (variability) of the distribution.

  6. In Python's pandas library, which method is used to compute descriptive statistics for a DataFrame?

    Answer: .describe()

    The .describe() method in pandas returns count, mean, standard deviation, minimum, quartiles, and maximum for numeric columns.

  7. What does 'statistical power' refer to in hypothesis testing?

    Answer: The probability of detecting a true effect when one exists

    Statistical power (1 - β) is the probability of correctly rejecting a false null hypothesis, i.e., detecting a real effect that exists in the population.

How this page was made: written with AI tools and published by Nathan Beja, founder of Practice Test Geeks, who is responsible for its content. Exam facts are checked against the official sources listed below. Not reviewed by a subject-matter expert. Editorial policy

Sources & references

Exam facts on this page (fees, format, dates, passing scores) are checked against these official sources; the date is our last check. Editorial policy

  1. research.uams.edu — Eligibility, renewal, exam format, passing score, score release · verified Oct 2026