Fall 2014 Syllabus MATH201 Introduction to Statistical Methods I Sections: 10‚ 11‚ 12‚ 14‚ 15 (3 Credits) Course Instructors: SECTIONS: Instructor Office Office Hours Phone Email 10‚14‚15 SECTIONS: Instructor Bryan Crissinger 409 Ewing MWF 10 – 12‚ or by appointment 302-831-8142 crissing@math.udel.edu Office Office Hours Phone Email 11‚12 Elizabeth Leavy To Be Announced To Be Announced To Be Announced To Be Announced Lecture Times - (Required) Section
Premium Normal distribution Statistics Confidence interval
The Relationship Between Peak Power and Fatigue Index for Endurance vs Power Athletes. ABSTRACT The Wingate Anaerobic Test is used to evaluate anaerobic cycling performance. This study was undertaken to determine whether there is a relationship between peak power and fatigue index for endurance (n=9) vs power (n=4) athletes. A total of 13 subjects‚ including 8 males and 5 females‚ were included in the study. The subjects were divided into sporting types‚ such as endurance and power. Data collected
Premium Standard deviation Pearson product-moment correlation coefficient Correlation and dependence
statistics class in college that the Poisson distribution might describe such events. A random sample of 150 days is taken. The number of returns per day in the sample as well as the observed frequencies are shown below: NARREND 4. She tests the hypothesis that returns per day are Poisson distributed with a population mean equal to 1.90. Her significance level is 0.05. State the null and alternative hypotheses. H0: _______________________________________________________________ H1: ____________
Premium Normal distribution Statistical hypothesis testing Variance
characteristics such as volatility. This reinforces the importance of using stratified samples to examine event study statistical properties. 3 Table of Contents 1. Introduction and Background 2. The Event Study Literature 2.1 The stock and flow of event studies 2.2 Changes in event study methods: the big picture 3. Characterizing Event Study Methods 3.1 An event study: the model 3.2 Statistical and economic hypotheses 3.3 Sampling distributions and test statistics 3.4 Criteria for “reliable” event study
Premium Statistical hypothesis testing Standard deviation Null hypothesis
risk is the risk associated when doing science that there is a chance one will be wrong in accepting or rejecting a scientific hypothesis based on the fact we may in fact be wrong or cannot predict future events based on the past. That because no evidence can establish a hypothesis with certainty‚ acceptance of a hypothesis carries with it inductive risk that the hypothesis may turn out to be wrong. Hempel and Kuhn shared this concern that we can never know anything through the process of induction
Premium Scientific method Statistics Type I and type II errors
Psych Stats Exam 4 Study Guide 1) One way ANOVA is the appropriate statistical test when there is one nominal independent variable with at least 3 levels; one sacle DV‚ and either between groups or within groups design 2) One way ANOVA Null Hypothesis: No differences between population means. µ1=µ2=µ3 Alternative Hypothesis: At least one pop mean is different from at least one other pop mean. (Can’t use symbols) 3) Numerator of the F statistic measures between groups variance (MSbetween)
Premium Analysis of variance Statistics Null hypothesis
Problem 2: Exploring Human Physiology – Key Terms Term Definition Alternative Hypothesis What the experimenter thinks may be true or wishes to be true before he or she begins an experiment. Also called the research hypothesis. Causal Relationship A relationship in which one factor can be said to be the cause of another. This relationship can be tested with controlled experiments. Correlation The degree of relationship between two variables. Cross Sectional Study A research study that involves a
Premium Statistics Experiment Hypothesis
ISDATA ANALYSIS USING SPSS Overview • Variable • Types of variables Qualitative Quantitative • Reliability and Validity • Hypothesis Testing • Type I and Type II Errors • Significance Level • SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables:
Premium Psychometrics Statistical hypothesis testing Validity
Journal of International Business and Cultural Studies Structural factors associated with the export performance of manufacturing firms Edward E. Marandu University of Botswana ABSTRACT This study investigates whether the structures of High performance Exporter firms differ from those of Low performance Exporter firms. Data were obtained from a survey of managers of 60 firms in Tanzania‚ an underdeveloped country. The study produces interesting contributions to our understanding of export causal
Premium Scientific method International trade Export
6.14 Show that for a sample of n = 39‚ the smallest and largest Z values are – 1.96 and + 1.96‚ and the middle (i.e.‚ 20th) Z value is 0.00. 6.19 The data in the file spending represent the per-capita spending‚ in thousands of dollars‚ for each state in 2004. Decide whether the data appear to be approximately normally distributed by A. Comparing data characteristics to theoretical properties. B. Constructing a normal probability plot. 7.1. For a population containing N=902 individuals what code number
Premium Statistical hypothesis testing Standard deviation Arithmetic mean