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STAT 111 Introductory Statistics

STAT 111 Introductory Statistics

STAT 111 Introductory Statistics. Lecture 2: Distributions and Relationships May 19, 2004. Today’s Topics. Density curves The normal distribution Relationships between variables Correlation Scatterplots Regression (if time permits).

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Section 1.3 Density Curves and Normal Distributions

Section 1.3 Density Curves and Normal Distributions

Section 1.3 Density Curves and Normal Distributions. Basic Ideas. One way to think of a density curve is as a smooth approximation to the irregular bars of a histogram. It is an idealization that pictures the overall pattern of the data but ignores minor irregularities.

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Sec 6.2

Sec 6.2

Sec 6.2. Test 6 will be on Wednesday D ec 18, 2013. All homework due Tuesday Dec 11. 6.2 Applications of the Normal Distributions.

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613 views • 34 slides
Statistics 303

Statistics 303

Statistics 303. Chapter 12 ANalysis Of VAriance. ANOVA: Comparing Several Means. The statistical methodology for comparing several means is called analysis of variance, or ANOVA. In this case one variable is categorical. This variable forms the groups to be compared.

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The Normal Distribution

The Normal Distribution

The Normal Distribution. Using Models to Describe Data Distributions. The Density Curve All density curves are based on mathematical models (“equations”) that can be used to describe the frequency for a given datum The area under all densities curves equals 1. the model. the data.

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Lecture 7 Sections 2.3 – 2.4

Lecture 7 Sections 2.3 – 2.4

Lecture 7 Sections 2.3 – 2.4. Objectives: More Detailed Summary Quantities Quartiles and IQR Boxplots Quantile Plots. More Detailed Summary Quantities. Percentiles

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