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Last Time

Last Time

Last Time. Q-Q plots Q-Q Envelope to understand variation Applications of Normal Distribution Population Modeling Measurement Error Law of Averages Part 1: Square root law for s.d. of average Part 2: Central Limit Theorem Averages tend to normal distribution. Reading In Textbook.

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2.17k views • 198 slides
Last Time

Last Time

Last Time. Q-Q plots Q-Q Envelope to understand variation Applications of Normal Distribution Population Modeling Measurement Error Law of Averages Part 1: Square root law for s.d. of average Part 2: Central Limit Theorem Averages tend to normal distribution. Reading In Textbook.

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1.98k views • 198 slides
Last Time

Last Time

Last Time. Normal Distribution Density Curve (Mound Shaped) Family Indexed by mean and s. d. Fit to data, using sample mean and s.d. Computation of Normal Probabilities Using Excel function, NORMDIST And Big Rules of Probability. Reading In Textbook.

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1.97k views • 188 slides
Describing Data with Numerical Measures

Describing Data with Numerical Measures

Describing Data with Numerical Measures. Graphical methods may not always be sufficient for describing data. Numerical measures can be created for both populations and samples. A parameter is a numerical descriptive measure calculated for a population .

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322 views • 32 slides
The Normal Distribution

The Normal Distribution

The Normal Distribution. Chapter 2. Continuous Random Variable. A continuous random variable: Represented by a function/graph. Area under the curve represents the proportions of the observations Total area is exactly 1.

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225 views • 22 slides
STATISTIC & INFORMATION THEORY (CSNB134)

STATISTIC & INFORMATION THEORY (CSNB134)

STATISTIC & INFORMATION THEORY (CSNB134). MODULE 3 PRACTICAL THEOREMS USING MEASURES OF CENTRE AND VARIABILITY. Recap: Module 2. In Module 2, we have learned:- (a) measure of centre mean, median, mode (b) measure of variability variance, standard deviation

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292 views • 12 slides

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