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This deck focuses on Inferences And Claims From Statistics, giving you a quick way to review the definitions, rules, and examples that matter most for SAT Math.
Study Inferences And Claims From Statistics in SAT Math with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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What is the purpose of a confidence interval in statistics?
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Estimate range for population parameter. Provides likely bounds where true population value falls with given confidence.
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This deck focuses on Inferences And Claims From Statistics, giving you a quick way to review the definitions, rules, and examples that matter most for SAT Math.
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: Estimate range for population parameter. Provides likely bounds where true population value falls with given confidence.
Answer: A distribution that is not symmetric. Data is pulled more toward one tail than the other.
Answer: The mode is 8. The value 8 appears most frequently (3 times).
Answer: Mean = 6.5. Sum all values and divide by count: (4+5+7+10)÷4=6.5.
Answer: A graph showing the relationship between two variables. Each point represents one observation with two variable values.
Answer: The mean is 8.6. Sum all values and divide by count: (3+7+8+10+15)/5=43/5=8.6.
Answer: A conclusion about a population based on a sample. Uses sample data to make generalizations about the entire population.
Answer: IQR = Q3 - Q1. Measures the spread of the middle 50% of data values.
Answer: The range is 12. 15−3=12; difference between largest and smallest values.
Answer: The frequency distribution of a data set. Shows how often different values or ranges occur in data.
Answer: The distribution of sample means approximates normality. For large samples, sample means follow a normal distribution pattern.
Answer: A subset of the population used for analysis. Representative portion selected from the larger population for study.
Answer: 95% of samples contain the true population parameter. Indicates the reliability of the interval estimation method.
Answer: The entire set of individuals or items of interest. All possible subjects or objects being studied in research.
Answer: A statement that there is no effect or difference. The baseline assumption that researchers try to reject or fail to reject.
Answer: The range is 12. 15−3=12; difference between largest and smallest values.
Answer: The strength and direction of a linear relationship. Values closer to -1 or 1 indicate stronger linear relationships.
Answer: Causal claim. Asserts one variable directly influences or causes changes in another.
Answer: The critical value is 1.96. Marks the boundary for 95% of the standard normal distribution.
Answer: From -1 to 1. Perfect positive correlation is 1, perfect negative is -1.
Answer: The confidence interval is (46.08, 53.92). 50±1.96×2510=50±3.92.
Answer: The z-score is 1. (85−80)/5=1; standardizes the value relative to the distribution.
Answer: A graphical summary of data distribution using quartiles. Shows median, quartiles, and potential outliers in data distribution.
Answer: A subset of the population used for analysis. Representative portion selected from the larger population for study.
Answer: The median is 5. Sort values first: 2, 4, 5, 7, 9; middle value is 5.
Answer: The mode is 8. The value 8 appears most frequently (3 times).
Answer: A numerical characteristic of a sample. Calculated value describing a sample (used to estimate parameters).
Answer: The frequency distribution of a data set. Shows how often different values or ranges occur in data.
Answer: Histogram. Shows distribution shape and frequency of values across intervals or bins.
Answer: Estimate range for population parameter. Provides likely bounds where true population value falls with given confidence.
Answer: Bias due to non-random sample selection. Systematic error that makes samples unrepresentative of the population.
Answer: The median is 5. Sort values first: 2, 4, 5, 7, 9; middle value is 5.
Answer: Correct: 'The sample result supports the hypothesis.'. 'Supports' is proper; samples provide evidence but never absolute proof.
Answer: Causal claim. Asserts one variable directly influences or causes changes in another.
Answer: Results unlikely due to chance, given a threshold. Indicates results are unlikely to occur by random chance alone.
Answer: The distribution of sample means approximates normality. For large samples, sample means follow a normal distribution pattern.
Answer: Probability of observed result under null hypothesis. Lower p-values suggest stronger evidence against the null hypothesis.
Answer: Bias due to non-random sample selection. Systematic error that makes samples unrepresentative of the population.
Answer: The claim is that the mean height > 6 feet. States that the population mean exceeds 6 feet.
Answer: A distribution that is not symmetric. Data is pulled more toward one tail than the other.
Answer: Mean. Extreme values pull the mean away from the center more than median or mode.
Answer: A numerical characteristic of a population. Fixed value describing an entire population (usually unknown).
Answer: A conclusion about a population based on a sample. Uses sample data to make generalizations about the entire population.
Answer: Variance = n−1sum of squared deviations. Measures how spread out data points are from the mean.
Answer: A statement that there is no effect or difference. The baseline assumption that researchers try to reject or fail to reject.
Answer: Both are equally strong. Both have the same absolute value, so equal strength.
Answer: Mean. Extreme values pull the mean away from the center more than median or mode.
Answer: Ha:mean=50. Alternative hypothesis claims the parameter is not equal to the null value.
Answer: IQR = Q3 - Q1. Measures the spread of the middle 50% of data values.
Answer: Failure to reject a false null hypothesis. Accepting a null hypothesis when the alternative is actually true.
Answer: The claim is that the mean height > 6 feet. States that the population mean exceeds 6 feet.
Answer: The range of error in sample estimate of population. Quantifies the uncertainty in survey or poll results.
Answer: A bell-shaped distribution symmetric about the mean. Most data falls within a predictable range around the center.
Answer: The z-score is 1. (85−80)/5=1; standardizes the value relative to the distribution.
Answer: The outlier is 100. Value that falls far outside the typical range of the data.
Answer: Probability of observed result under null hypothesis. Lower p-values suggest stronger evidence against the null hypothesis.
Answer: The critical value is 1.96. Marks the boundary for 95% of the standard normal distribution.
Answer: Histogram. Shows distribution shape and frequency of values across intervals or bins.
Answer: Null hypothesis: no effect or difference. Default assumption that treatment has no impact; what we test against.
Answer: A graphical summary of data distribution using quartiles. Shows median, quartiles, and potential outliers in data distribution.
Answer: Range = 20. Difference between maximum and minimum: 22−2=20.
Answer: 95% of samples contain the true population parameter. Indicates the reliability of the interval estimation method.
Answer: The confidence interval is (46.08, 53.92). 50±1.96×2510=50±3.92.
Answer: The entire set of individuals or items of interest. All possible subjects or objects being studied in research.
Answer: Failure to reject a false null hypothesis. Accepting a null hypothesis when the alternative is actually true.
Answer: Drawing conclusions about a population based on a sample. Uses sample data to make educated guesses about the entire population.
Answer: From -1 to 1. Perfect positive correlation is 1, perfect negative is -1.
Answer: Arrange data, find middle value(s). For odd n, middle value; for even n, average of two middle values.
Answer: Range = Maximum - Minimum. Range measures the spread by finding the difference between extremes.
Answer: The range of error in sample estimate of population. Quantifies the uncertainty in survey or poll results.
Answer: Arrange data, find middle value(s). For odd n, middle value; for even n, average of two middle values.
Answer: The strength and direction of a linear relationship. Values closer to -1 or 1 indicate stronger linear relationships.
Answer: A numerical characteristic of a population. Fixed value describing an entire population (usually unknown).
Answer: The mean is 8.6. Sum all values and divide by count: (3+7+8+10+15)/5=43/5=8.6.
Answer: A bell-shaped distribution symmetric about the mean. Most data falls within a predictable range around the center.
Answer: Range = Maximum - Minimum. Range measures the spread by finding the difference between extremes.
Answer: s=n−11∑(xi−xˉ)2. Measures spread by calculating square root of variance with n−1 denominator.
Answer: Both are equally strong. Both have the same absolute value, so equal strength.
Answer: Null hypothesis: no effect or difference. Default assumption that treatment has no impact; what we test against.
Answer: Range = 20. Difference between maximum and minimum: 22−2=20.
Answer: Mode = 3. The value that appears most frequently in the data set.
Answer: Variance = n−1sum of squared deviations. Measures how spread out data points are from the mean.
Answer: Mode = 3. The value that appears most frequently in the data set.
Answer: Results unlikely due to chance, given a threshold. Indicates results are unlikely to occur by random chance alone.
Answer: Mean = 6.5. Sum all values and divide by count: (4+5+7+10)÷4=6.5.
Answer: A graph showing the relationship between two variables. Each point represents one observation with two variable values.
Answer: Ha:mean=50. Alternative hypothesis claims the parameter is not equal to the null value.
Answer: A numerical characteristic of a sample. Calculated value describing a sample (used to estimate parameters).
Answer: The outlier is 100. Value that falls far outside the typical range of the data.
Answer: P-value. Measures probability that observed results occurred by random chance alone.