'Z scores' presentation slideshows

Biostatistics

1.26k views • 71 slides

Spatial statistics in practice Center for Tropical Ecology and Biodiversity, Tunghai University & Fushan Botanical G

Lecture #3: Modeling spatial autocorrelation in normal, binomial/logistic, and Poisson variables: autoregressive and spatial filter specifications. Spatial statistics in practice Center for Tropical Ecology and Biodiversity, Tunghai University & Fushan Botanical Garden.

920 views • 66 slides

Spatial statistics in practice Center for Tropical Ecology and Biodiversity, Tunghai University & Fushan Botanical G

Lecture #3: Modeling spatial autocorrelation in normal, binomial/logistic, and Poisson variables: autoregressive and spatial filter specifications. Spatial statistics in practice Center for Tropical Ecology and Biodiversity, Tunghai University & Fushan Botanical Garden.

1k views • 66 slides

Descriptive Statistics: Overview

Measures of Spread. Measures of Center. Range Inter-quartile Range Variance Standard deviation. Mode Median Mean. *. *. *. Measures of Symmetry. Measures of Position. Skewness. Percentile Deviation Score Z-score. *. *. Descriptive Statistics: Overview. Central tendency.

1.38k views • 57 slides

Chapter 6 Normal Probability Distributions

959 views • 49 slides

Confidence intervals using the t distribution

Confidence intervals using the t distribution. Chapter 6. t scores as estimates of z scores; t curves as approximations of z curves Estimated standard errors CIs using the t distribution Testing the no effect (null) hypothesis).

723 views • 47 slides

t scores and confidence intervals using the t distribution

t scores and confidence intervals using the t distribution. What we will cover today:. t scores as estimates of z scores; t curves as approximations of z curves Estimated standard errors CIs using the t distribution Testing the no effect (null) hypothesis).

729 views • 47 slides

Populations and Samples

Populations and Samples. Dr David Field. General Information. This lecture contains material that is crucial for understanding the rest of the course read the text book important sections are indicated by, e.g. go to the workshop download the lecture

1.13k views • 46 slides

Review

Review . I am examining differences in the mean between groups. How many independent variables? . One . More than one . How many groups?. Two . More than two . ? . ?. ?. Differences or Relationships? . I am examining relationships between variables.

598 views • 44 slides

Detecting Outliers

Detecting Outliers. Detecting univariate outliers Detecting multivariate outliers. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.

639 views • 42 slides

The Method of Constant Stimuli & Signal Detection Theory

The Method of Constant Stimuli & Signal Detection Theory. VISN2211 Sieu Khuu David Lewis. Three Psychophysical Methods. The Method of Limits The Method of Adjustment The Method of Constant Stimuli Signal Detection Theory

1.58k views • 39 slides

Stage

605 views • 37 slides

Normal Distribution

Normal Distribution. Sampling and Probability. Properties of a Normal Distribution. Mean = median = mode There are the same number of scores below and above the mean. 50% of the scores are on either side of the mean. The area under the normal curve totals 100%.

438 views • 28 slides

Psychometric Properties of Health & Self-Care

Psychometric Properties of Health & Self-Care. Linda S. Gottfredson University of Delaware Rosalind Arden Kings College, London . International Society for Intelligence Research Amsterdam December 13, 2007. Calculus of Inconspicuous Effects: Essential for Theory Testing.

331 views • 24 slides

INF397C Introduction to Research in Information Studies Spring, 2005 Day 12

340 views • 22 slides

Z Scores & Correlation

Z Scores & Correlation. Greg C Elvers. Z Scores. A z score is a way of standardizing the scale of two distributions When the scales have been standardize, it is easier to compare scores on one distribution to scores on the other distribution. An Example.

970 views • 21 slides

456 views • 21 slides

Outliers

Outliers. Outliers are data points that are not like many of the other points, or values. Here we learn about some tools to detect them. age. x = 22. 24 26 28. 16 18 20.

295 views • 15 slides

M ARIO F . T RIOLA

S TATISTICS. E LEMENTARY. Section 5-3 Normal Distributions: Finding Probabilities. M ARIO F . T RIOLA. E IGHTH. E DITION. Other Normal Distributions. If ? ? 0 or ??? ? 1 (or both), we could convert values to standard scores ( z scores) using the formula:

246 views • 9 slides

One sample means

One sample means. Testing a sample mean against a population mean. Hypothesis testing for one population means. We have measured a sample, and have a mean and SD, interval or ratio level data Does the sample differ significantly from the population?

254 views • 8 slides