What this deck covers
This deck focuses on The Normal Distribution, giving you a quick way to review the definitions, rules, and examples that matter most for AP Statistics.
Study The Normal Distribution in AP 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 symmetry property of a normal distribution curve.
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Symmetric about the mean. Normal curves are perfectly symmetric around their center.
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This deck focuses on The Normal Distribution, giving you a quick way to review the definitions, rules, and examples that matter most for AP 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: Symmetric about the mean. Normal curves are perfectly symmetric around their center.
Answer: ν. Mode equals mean in normal distributions.
Answer: ν. Median equals mean due to symmetry.
Answer: Mean determines center, standard deviation determines spread. Parameters control location and width of distribution.
Answer: 68-95-99.7 rule. Also known as the three-sigma rule.
Answer: Asymptotic. Tails approach but never touch the x-axis.
Answer: Sample means are normally distributed. CLT ensures sampling distributions approach normality.
Answer: Number of standard deviations from the mean. Measures distance from mean in standard deviation units.
Answer: 0.5. Standard normal is symmetric around zero.
Answer:
Answer: Mean determines center, standard deviation determines spread. Parameters control location and width of distribution.
Answer: ν. Median equals mean due to symmetry.
Answer: Bell-shaped. Classic shape of normal distribution curves.
Answer: Variance is the square of the standard deviation. Variance is standard deviation squared.
Answer: They are equal. Symmetry ensures all central tendencies coincide.
Answer: Symmetric about the mean. Normal curves are perfectly symmetric around their center.
Answer: 0.6826. 68% rule applied to standard normal.
Answer: Asymptotic. Tails approach but never touch the x-axis.
Answer: 0 (perfectly symmetrical). No skew means perfectly balanced distribution.
Answer: They are equal. Symmetry ensures all central tendencies coincide.
Answer:
Answer:
Answer: Assess if data follows a normal distribution. Tests check if sample data appears normally distributed.
Answer: ν. Mode equals mean in normal distributions.
Answer:
Answer: 0.5. Standard normal is symmetric around zero.
Answer:
Answer: Continuous random variable. Normal distributions apply to continuous data only.
Answer: 0.025. Critical value leaving 2.5% in upper tail.
Answer: Assess if data follows a normal distribution. Tests check if sample data appears normally distributed.
Answer: 68%. Empirical rule for one standard deviation interval.
Answer: 99.7%. Empirical rule for three standard deviation interval.
Answer: Number of standard deviations from the mean. Measures distance from mean in standard deviation units.
Answer: 0 (perfectly symmetrical). No skew means perfectly balanced distribution.
Answer: 0.6826. 68% rule applied to standard normal.
Answer: 95%. Empirical rule for two standard deviation interval.
Answer: 68-95-99.7 rule. Also known as the three-sigma rule.
Answer:
Answer: 95%. Empirical rule for two standard deviation interval.
Answer: Find probabilities for Z-scores. Standard tables give cumulative probabilities for Z-values.
Answer: Bell-shaped. Classic shape of normal distribution curves.
Answer: Find probabilities for Z-scores. Standard tables give cumulative probabilities for Z-values.
Answer: Variance is the square of the standard deviation. Variance is standard deviation squared.
Answer: 0.025. Critical value leaving 2.5% in upper tail.
Answer: 99.7%. Empirical rule for three standard deviation interval.
Answer: Continuous random variable. Normal distributions apply to continuous data only.
Answer: Sample means are normally distributed. CLT ensures sampling distributions approach normality.
Answer: 68%. Empirical rule for one standard deviation interval.