'Alternate hypothesis' presentation slideshows

Regression Models

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Basic concept

Basic concept. Measures of central tendency. Measures of dispersion & variability. Measures of tendency central. Arithmetic mean (= simple average ). Best estimate of population mean is the sample mean, X. measurement in population. summation. sample size. index of measurement.

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LSSG Black Belt Training

LSSG Black Belt Training Hypothesis Testing Introduction Always about a population parameter Attempt to prove (or disprove) some assumption Setup: alternate hypothesis : What you wish to prove Example: Person is guilty of crime

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BIOSTATISTICS

BIOSTATISTICS. 5.6 TEST OF HYPOTHESIS. BIOSTATISTICS. TERMINAL OBJECTIVE: 5.6 Perform a test of significance on a hypothesis using Chi-square test. BIOSTATISTICS. STATE THE PURPOSE OF A: 5.6.1 2X2 contingency table. 5.6.2 2x2 expected table. Purpose - Contingency. General

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Lecture 3

Lecture 3. Estimation and Hypothesis Testing . Objectives: Formulate a null and alternate hypothesis for a question of interest; Explain what a test statistic is; Explain p-values; Describe the reasoning of hypothesis testing;

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REVIEW Hypothesis Tests of Means

REVIEW Hypothesis Tests of Means. When to use z and When to use t. USE z Large n or sampling from a normal distribution ? is known. USE t Large n or sampling from a normal distribution ? is unknown. z and t distributions are used in hypothesis testing.

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Information-Based Sample Size Re-estimation for Binomial Trials

Information-Based Sample Size Re-estimation for Binomial Trials. Keaven Anderson, Ph.D. Amy Ko, MPH Nancy Liu, Ph.D. Yevgen Tymofyeyev, Ph.D. Merck Research Laboratories. June 9, 2010. Objective: Fit-for-purpose sample-size adaptation. Examples here restricted to binary outcomes

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Statistical Decision Making

Statistical Decision Making. Analysts must often make decisions about some condition in the real world. Assume that you have finished your MA in policy studies and have been hired as the environmental affairs officer for the city of Morgantown. You must make the following assessment:

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Caffeine Junkies: Effects of caffeine on word-search task performance of Dartmouth Students

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Weather Patterns

Weather Patterns. Michael Levin & Andy Suh. About Weather Predictions. For years, people have been trying to predict weather patterns and to predict oncoming weathers; even the Babylon, Greeks, and the Renaissance people have tried.

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Hypothesis Testing for Proportions

Hypothesis Testing for Proportions. AP Statistics. Hypothesis Test for Proportions. In this section, you will learn how to test a population proportion, p. If np ? 10 and n(1-p) ? 10 for a binomial distribution, then the sampling distribution for is normal with and.

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The Probability of a Type II Error and the Power of the Test

The Probability of a Type II Error and the Power of the Test. Probability of a Type II Error / Power of Test. Type I Error: Rejecting Null Hypothesis when Null Hypothesis is true ( ? is the probability of a Type I Error) Type II Error: Accepting Null Hypothesis when Null Hypothesis is false.

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Judging offside in football

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Educational Research

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STAT 3120 Statistical Methods I

STAT 3120 Statistical Methods I. Lecture Notes 6 Analysis of Variance (ANOVA). Testing for Relationships Among Variables. AN alysis O f VA riance. A few points about ANOVA: Used to determine if statistical differences exist among three or more groups;

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STYLISTIC VARIATION AS A BASIS FOR GENRE-BASED TEXT CLASSIFICATION

STYLISTIC VARIATION AS A BASIS FOR GENRE-BASED TEXT CLASSIFICATION. S. Sameen Fatima Dept. of Computer Science & Engineering Osmania University Hyderabad (sameenf@hotmail.com). BACKGROUND. Q. What is classification (of text)?

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LECTURE 11 Hypotheses about Correlations

LECTURE 11 Hypotheses about Correlations. EPSY 640 Texas A&M University. Hypotheses about Correlations. One sample tests for Pearson r Two sample tests for Pearson r Multisample test for Pearson r Assumptions: normality of x, y being correlated. One Sample Test for Pearson r.

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Need

Impact of Stress on Heart Disease Risk. Need . http://www.hsph.harvard.edu/news/hphr/winter-2009/winter09heart.html#riskchart. Knowledge Base. Literature Review. Li et al., in 2010

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Super Memory: Is anyone capable of achieving it? Amber J. Rice

Super Memory: Is anyone capable of achieving it? Amber J. Rice St. Lawrence University, Canton, New York. MYTH. MYTH BUSTED. Super memorists have the capacity to remember significantly more than the average person due to innate abilities. The highest level of performance is only

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Need

Need. http://personalpages.manchester.ac.uk/staff/roy.goodacre/learning/metabprof/levy_nature2004.pdf. Many bacteria are both capable of developing their own resistance to antibiotics as well as spreading this resistance to other bacteria. Literature Review. Secondary Metabolites.

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