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Two Variances - Graphing Calculator definitions

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이 집합의 용어 (15)

  • Two-Sample F Test
    A statistical procedure comparing two sample variances to assess differences between population variances using an F statistic.
  • Variance
    A measure of data spread indicating how much values differ from the mean within a sample or population.
  • Standard Deviation
    A value quantifying the average distance of data points from the mean, used to summarize variability.
  • F Statistic
    A ratio of two sample variances used to evaluate whether population variances are significantly different.
  • P-Value
    A probability indicating the strength of evidence against the null hypothesis; lower values suggest stronger evidence.
  • Null Hypothesis
    A statement asserting no difference between population variances, often used as a baseline for testing claims.
  • Alternative Hypothesis
    A statement reflecting the claim being tested, such as one population variance being greater than another.
  • Significance Level
    A threshold, commonly denoted as alpha, determining when to reject the null hypothesis based on the p-value.
  • Sample Size
    The number of observations in each group, affecting the reliability and calculation of statistical tests.
  • Graphing Calculator
    A device used to input data or statistics and automate calculations for hypothesis testing, including F tests.
  • Right-Tailed Test
    A hypothesis test where the alternative hypothesis claims one variance is greater than the other, focusing on the upper tail.
  • Data Tab
    A calculator menu option for entering raw data lists to perform statistical tests directly from sample values.
  • Stats Tab
    A calculator menu option for inputting summary statistics, such as sample standard deviations and sizes, for hypothesis testing.
  • Alpha
    A symbol representing the significance level, often set at 0.05, guiding decision-making in hypothesis tests.
  • Sample Statistics
    Numerical summaries, such as standard deviations and sizes, used to perform statistical tests without raw data.