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This deck focuses on Comparing Data Sets By Center Spread, giving you a quick way to review the definitions, rules, and examples that matter most for Statistics.
Study Comparing Data Sets By Center Spread in Statistics with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Identify the correct interpretation: if z=2, how many standard deviations above the mean is x?
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2 standard deviations above the mean. Z-score directly tells distance in σ units.
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This deck focuses on Comparing Data Sets By Center Spread, giving you a quick way to review the definitions, rules, and examples that matter most for Statistics.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: 2 standard deviations above the mean. Z-score directly tells distance in σ units.
Answer: Mean and standard deviation. Outliers pull the mean and inflate the standard deviation.
Answer: −2. Q1−1.5(IQR)=10−1.5(8)=−2.
Answer: Lower: Q1−1.5(IQR); Upper: Q3+1.5(IQR). Values beyond these bounds are potential outliers.
Answer: Mean and standard deviation. Best describes center and spread for normal-like data.
Answer: Compare medians and IQR. Use resistant measures when distributions aren't symmetric.
Answer: Data set A. Larger standard deviation means more spread from mean.
Answer: Data set A. Smaller standard deviation means less variability.
Answer: s=n−1∑(xi−xˉ)2. Divides by n−1 for unbiased sample estimate.
Answer: Median. Median resists the pull of outliers.
Answer: Compare means and s. Use non-resistant measures for well-behaved distributions.
Answer: High outlier if x>Q3+1.5(IQR). Values beyond this are unusually high.
Answer: Median and IQR. Outliers strongly affect mean and standard deviation.
Answer: Interquartile range (IQR). Resistant to outliers since it only uses middle 50% of data.
Answer: Mean. Best represents typical value when data is balanced around center.
Answer: IQR=Q3−Q1. Difference between third and first quartiles.
Answer: Median and IQR. Middle value and middle 50% range aren't pulled by extreme values.
Answer: Data set A is more spread out. Larger σ means values vary more from center.
Answer: Compare z-scores. Standardizes values to same scale for comparison.
Answer: Use median and IQR. Skewed distributions require resistant measures.
Answer: Data set A. Larger IQR means more variability in middle 50%.
Answer: (median,IQR). Use resistant measures for skewed distributions.
Answer: Low outlier if x<Q1−1.5(IQR). Values below this are unusually low.
Answer: Median. Resistant to outliers and extreme values in the tail.
Answer: Standard deviation. Captures variability well when data follows bell-shaped pattern.
Answer: IQR=13. Apply formula: 31−18=13.
Answer: Median. Long whisker and outlier indicate right skew.
Answer: Typical distance of values from the mean. Average deviation from center, in original units.
Answer: Median (mean may be misleading). Mean pulled by modes; median finds middle value.
Answer: It is left-skewed. Long left tail pulls mean below median.
Answer: It is right-skewed. Long right tail pulls mean above median.
Answer: 30. Q3+1.5(IQR)=18+1.5(8)=30.
Answer: Data set A. Higher median indicates higher center location.
Answer: Data set A. Larger IQR indicates greater spread in the middle 50%.
Answer: Interquartile range (IQR). Use resistant spread measure for skewed distributions.
Answer: z=σx−μ. Measures how many standard deviations from mean.