'Quantile plot' presentation slideshows

STAT 111 Introductory Statistics

965 views • 56 slides

??? (Dot Plot)

??? (Dot Plot). ????? (Ordered Dot Plot). ??? (Bar Chart). ??? (Pie Chart). ??? (Strip Plot). ??? (Histogram). ??? (Density Plot). ??? (Box Plot). ????? (Quantile Plot) ( ?? ). ????? ( ?? ). ????????? (Empirical CDF) ( ?????? CDF). ????? ( ???????? ). ?? Q-Q ?.

979 views • 49 slides

Chapter 7

Chapter 7. Continuous Distributions. Continuous random variables. Are numerical variables whose values fall within a range or interval Are measurements Can be described by density curves. Density curves. Is always on or above the horizontal axis

523 views • 41 slides

Chapter 7

Chapter 7. Continuous Distributions. Continuous random variables. Are numerical variables whose values fall within a range or interval Are measurements Can be described by density curves. Density curves. Is always on or above the horizontal axis

417 views • 41 slides

Parameter, Statistic and Random Samples

Parameter, Statistic and Random Samples. A parameter is a number that describes the population. It is a fixed number, but in practice we do not know its value. A statistic is a function of the sample data, i.e., it is a quantity

350 views • 34 slides

Model Adequacy

Model Adequacy. Running a Real Regression Analysis Testing Assumptions, Checking for Outliers, and More. Hold up. Before the data was collected, did you bother to do a power analysis to estimate the sample size needed?

900 views • 32 slides

ANOVA: Analysis of Variation

ANOVA: Analysis of Variation. Math 243 Lecture R. Pruim. The basic ANOVA situation. Two variables: 1 Categorical, 1 Quantitative Main Question: Do the (means of) the quantitative variables depend on which group (given by categorical variable) the individual is in?

795 views • 30 slides

CE 397 Statistics in Water Resources, Lecture 2, 2009

CE 397 Statistics in Water Resources, Lecture 2, 2009. David R. Maidment Dept of Civil Engineering University of Texas at Austin. Key Themes. Statistics Parametric and non-parametric approach Data Visualization Distribution of data and the distribution of statistics of those data

364 views • 26 slides

Outline

Assumptions of linear statistical models. Types of Transformations Alternatives to Transformations. Outline. Transformations in Statistical Analysis. Effect addivitity Normality Homoscedasticity Independence. Model Assumptions. Homoscedasticity Normality Additivity Independence.

361 views • 21 slides

Normal Distributions

Normal Distributions. Continuous Distribution. For a discrete distribution, for example Binomial distribution with n=5, and p=0.4, the probability distribution is x 0 1 2 3 4 5 f(x) 0.07776 0.2592 0.3456 0.2304 0.0768 0.01024. P(x). x.

230 views • 21 slides

Genomic Profiles of Brain Tissue in Humans and Chimpanzees II

Genomic Profiles of Brain Tissue in Humans and Chimpanzees II. Naomi Altman Oct 06. SAM. Significance Analysis of Microarrays is a popular method of differential expression analysis, freely available from www-stat.stanford.edu/~tibs

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QQ Plot

QQ Plot. Quantile to Quantile Plot Quantile: Points taken at regular intervals from the cumulative distribution function (CDF) of a random variable QQ Plot: Graphical method for comparing two probability distributions by plotting quantiles of their values against each other

228 views • 7 slides

QQ Plot

QQ Plot. Quantile to Quantile Plot Quantile: Points taken at regular intervals from the cumulative distribution function (CDF) of a random variable QQ Plot: Graphical method for comparing two probability distributions by plotting quantiles of their values against each other

247 views • 7 slides

QQ Plot

QQ Plot. Quantile to Quantile Plot Quantile: Points taken at regular intervals from the cumulative distribution function (CDF) of a random variable QQ Plot: Graphical method for comparing two probability distributions by plotting quantiles of their values against each other

649 views • 5 slides

Metallomes are very diverse

1. Genome Sequence (actg). 2. Proteome Sequence (amino acid). 3. HMM-based classification into structural fold families. Fe heme bound oxidative defense.

226 views • 4 slides