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Reading material aloud, pairing students, and working with individual students are strategies used when:
Tchebysheff's Theorem
A theorem that states for any real numbers k > 1, at least (1-1/k^2) of the data values fall within k standard deviations of the mean for any distribution.
Empirical Rule
A statistical rule stating that for a normally distributed dataset, about 68% of values fall within one standard deviation, 95% within two, and 99.7% within three standard deviations from the mean.
Tchebysheff's Theorem
A mathematical formula that determines the minimum proportion of values that lie within a specified number of standard deviations from the mean, for any distribution.
Mound-Shaped
Mound-shaped describes a symmetrical, bell-shaped distribution of data points, indicative of a normal distribution.
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