CHART FOR STATISTICAL ANALYSIS ANOVA One-way Analysis of Variance (ANOVA) is used with one categorical independent variable and one continuous variable. The independent variable can consist of any number of groups (levels). A statistical technique by which we can test if three or more means are equal. It tests if the value of a single variable differs significantly among three or more levels of a factor. Example: Problem: Susan Sound predicts that students will learn most effectively with a constant
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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) 4) Denominator of the F statistic measures within groups variance (MSwithin) 6) A priori test: planned ahead of time‚ before you collect data decide on test‚ based on reasoning Post hoc: choose after you look at data; based on data‚ choose groups you want to compare; usually
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& Greenberg‚ C. J. (1981). Goal setting and performance evaluation: An attributional analysis Dweck‚ C.‚ Chiu‚ C.‚ & Hong‚ Y. (1995). Implicit theories and their role in judgments and reactions: A world from two perspectives Eden‚ D.‚ & Aviram‚ A. (1993). Self-efficacy training to seed reemployment: Helping people to help themselves. Journal of Applied Psychology‚ 78‚ 352–360. Fienberg‚ S. E. (1977). The analysis of cross-classified categorical data. Frey‚ D.‚ & Rogner‚ O. (1987). The relevance of
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Do You Care? : Gender and High School Background Effects on Self-Monitoring in the Classroom Floyd Wilks Jr. Lab 4 Specific Aims In today’s society education has become a vital instrument to achieve success. Over the past couple of decades we saw a huge change in the way children would be educated as certain laws were passed to help grantee better education possibilities to those who were less fortunate. Unfortunate‚ we still have great disparity
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Abstract Eight students participated in a study of the Irrelevant Speech Effect. Irrelevant speech disrupts immediate serial recall. In this study we test the disruptive effects of irrelevant speech on serial recall. In this experiment participants saw a list of randomly ordered digits 1-9. During the some trials they heard irrelevant speech in the background‚ while other trials were quiet. This irrelevant speech was a passage from Franz Kafka in German (Francis‚ Neath‚ & VanHorn‚ 2008)
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CHAPTER I Introduction The Philippines is an agricultural country. Almost 75% of our total population are farmers especially in the rural areas. Therefore‚ the country is producing different kinds of crops for home consumption and for the farmers as source of livelihood. But today‚ we are suffering from food shortage because of our growing population. This study aimed to help our local farmers in terms of knowledge on how to produce sufficient crops
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hypothesis? Alternate hypothesis? What are the degrees of freedom for 1) gender‚ 2) marital status‚ 3) interaction between gender and marital status‚ and 4) error or within variance? Calculate the mean square for 1) gender‚ 2) marital status‚ 3) interaction between gender and marital status‚ and 4) error or within variance. Calculate the F ratio for 1) gender‚ 2) marital status‚ and 3) interaction between gender and marital status. Identify the critical Fs at alpha = .05 for 1) gender‚ 2) marital
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Chapter 2. Randomized Complete Block Design 2.1 Randomized Complete Block Design 2.1.1 Examples When examining the effect of a factor‚ it is often helpful to remove the effect of excess variation through the use of blocking. A blocking variable is one that may affect the variation of the response‚ but is unrelated to the primary hypothesis of interest. The desired result is to have homogeneous experimental units within each block so that when the blocking effect is removed (through modeling)
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DOE PROJECT Report Submitted to: Dr. B. Baliga (Course Instructor) 1Mechanial and Manufacturing Engineering student‚ St Cloud State University‚ St. Cloud‚ MN St. Cloud State University St. Cloud‚ MN November 16‚ 2011 1 Introduction Design of experiments‚ DOE‚ is an important tool in engineering because it helps us get to the desired solution of our problem by using the shortest amount of steps while still keeping a very high standard of safety and quality. The purpose
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that are married. The Null hypothesis in both situations would be that differences would not exist. c. What are the degrees of freedom for 1) gender‚ 2) marital status‚ 3) interaction between gender and marital status‚ and 4) error or within variance? 1. A-1= There are 2 groups of gender; male and female‚ so it would be 2-1=1 as the degree of freedom. 2. B-1= There are 3 groups for marital status; married‚ single‚ and divorced‚ so it would be 3-1=2 as the degree of freedom
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