'Equal variance' diaporamas de présentation

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Hypothesis tests for slopes in multiple linear regression model

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ANOVA One-Way and Two-way Analyses of Variance

ANOVA One-Way and Two-way Analyses of Variance. PSBE Chapters 14, 15 and Guan Chapter 9. Research Questions. Income and allocation? Do people in different counties earn same income? Obviously it is not, how can we test?. Research Questions. Income and gender?

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Probability & Statistical Inference Lecture 6

Probability & Statistical Inference Lecture 6. MSc in Computing (Data Analytics). Lecture Outline. Quick Recap Testing the difference between two sample means Practical Hypothesis Testing Analysis Of Variance. General Steps in Hypotheses testing.

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ANOVA

STAT 101 Dr. Kari Lock Morgan. ANOVA. SECTION 8.1 Testing for a difference in means across multiple categories. Review: Chi-Square Tests. The ? 2 goodness-of-fit tests if one categorical variable differs from a null distribution

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Comparing Two Samples: Part I

Comparing Two Samples: Part I. Measurements (data). Descriptive statistics. Data transformation. Normality Check Frequency histogram (Skewness & Kurtosis) Probability plot, K-S test. YES. NO. Mean, SD, SEM, 95% confidence interval. Median, range, Q1 and Q3 . Data transformation.

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Lecture 7

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MRFs and Segmentation with Graph Cuts

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T Test by SPSS

T Test by SPSS. by Aaed Al- Rabai. Two sample t. Standardized Difference. The case of equal variance. 2 sample t test (assuming equal variance). t-test for 2 independent samples. Null Hypothesis: No difference in mean blood PH levels between battery workers and control group

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Announcements

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WINKS SDA Statistical Data Analysis

WINKS SDA Statistical Data Analysis. (Windows Kwikstat ) Getting Started Guide. The Analysis Process Here is a brief look at the data analysis process:. Enter data or read data from an existing file. Select an analysis from the Analyze menu. Examine the output.

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Lecture 4

Lecture 4. Data editing. List of nice things. Equal variance Normal distribution Linear relationship Independent variables Other requirements. Equal variance. Can be done by weighting the groups. Transformation is be better

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580.691 Learning Theory Reza Shadmehr

580.691 Learning Theory Reza Shadmehr Classification via regression Fisher linear discriminant Bayes classifier Confidence and Error rate of the Bayes classifier. Classification via regression Suppose we wish to classify vector x as belonging to either class C0 or C1.

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Testing the Equality of Means and Variances in Over-Time Data

Testing the Equality of Means and Variances in Over-Time Data. David A. Kenny. Goal. Testing the null hypothesis that the mean or the variance does not change over time. (All of the tests can be done with as few as two time points.). Example Data.

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Randomized Complete Block and Repeated Measures (Each Subject Receives Each Treatment) Designs

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580.691 Learning Theory Reza Shadmehr

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Independent Samples t-test

Independent Samples t-test. Mon, Apr 12 th. t Test for Independent Means. Comparing two samples e.g., experimental and control group Scores are independent of each other Focus on differences betw 2 samples, so comparison distribution is: Distribution of differences between means.

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Objectives: Linear Discriminant Functions Gradient Descent Nonseparable Data

LECTURE 20 : LINEAR DISCRIMINANT FUNCTIONS. Objectives: Linear Discriminant Functions Gradient Descent Nonseparable Data Resources: SM: Gradient Descent JD: Optimization Wiki: Stochastic Gradient Descent MJ: Linear Programming. Discriminant Functions.

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