All readings for these lectures come from the text by Spiegel
and Stephens assigned in the course syllabus. Only the chapter sections listed
below will be covered.
Chapter 3: Arithmetic mean, Root square mean.
Chapter 4: Standard deviation, Variance, Properties of
Standard Deviation.
Chapter 9: Unbiased estimates, Point estimates,
Confidence-interval estimates.
Chapter 10: Statistical hypotheses, Tests for hypotheses,
Type I and II errors, Level of significance, Tests for normal distributions,
Two-tailed and One-tailed tests, Tests involving sample differences (means)
Chapter 11: t-distribution, Confidence intervals, Chi-square
distribution, Confidence intervals for sigma, Degrees of freedom.
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