Aristotle defines virtue in terms of a mean or median. On one end is the excess and on the other the deficiency with the median found somewhere between the two. A sizeable portion of the book is dedicated to discussing these virtues and their excess and deficiency as well as the sphere the virtue falls under. While a majority of the virtues have vices on either side and are found through trial and error somewhere between them‚ the virtue of temperance does not have this quality and is therefore more
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Measures Of Central Tendency: Mean Medium Mode Mode instead of mean… Categorical variables‚ words not numbers Measures of Dispersion: Standard Deviation‚ Range‚ and Variables Range = Largest number minus smallest number SD = Average Distance from the Mean (Most frequently used) Variance: Fat & Skinny Distributions: Skewness – measure of the lack of symmetry‚ or the lopsidedness of a distribution. One “tail” of the distribution is longer than another. Kurtosis: has to do
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Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary .
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“Statistical Treatment” Communication Reasearch 1 S.Y. 2013- 2014 T.F 7:00am – 8:30am MCS June 21‚ 2013 ILARIA L. PANDOLFI PROFESSOR ROSALIE CERVANTES I. Objectives: The learners are expected to: a. Determine what statistical treatment is all about. b. Choose their own right statistics in analysing their data. c. Follow the steps involving statistical treatment. d. Interpret the data involving tabulation. e. Provide answers to the drills. II. Outline
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chapter 1: STATS – STATISTICS DATA AND STATISTICAL THINKING 1.1 The science of statistics * Statistics - is the science of data. It involves collecting‚ classifying‚ summarising‚ organising‚ analysing‚ and interpreting numerical information. 1.2 types of statistical applications in business * Descriptive Statistics - describe collected data. Utilizes numerical and graphical methods to look for patterns in data‚ summarize the information in the data and to present the information in a
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1. First enter the Real estate data (text book data set 1) into SPSS and then select a sample of size‚ n = last two digits of your ID and answer the exercises. I. Select an appropriate class interval and organize the “Selling price” into a frequency distribution. II. Compute the Mean‚ Median‚ Mode‚ Standard Deviation‚ Variance‚ Quartiles‚ 9th Decile‚ 10th Percentile and Range of “Selling price” from the raw data of your sample and interpret. III. Develop a histogram (Using question “1”) for
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459-463 Copyright 1983 by the American Psychological Association‚ Inc. Statistical Significance‚ Power‚ and Effect Size: A Response to the Reexamination of Reviewer Bias Bruce E. Wampold Department of Educational Psychology University of Utah Michael J. Furlong and Donald R. Atkinson Graduate School of Education University of California‚ Santa Barbara In responding to our study of the influence that statistical significance has on reviewers ’ recommendations for the acceptance or rejection
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Week 4 Graph Assignment Q#|Problem|Show Your Work|Answer|Instructor Comments| 1.|The following table shows how much consumers are willing to pay for digital music and the potential revenue that can be derived from it.a. What percent of the market will be reached if the price per song is $0.50?b. What is the potential revenue when the price is $0.50 per song?|a.b.||| || Q#|Problem|Show Your Work|Answer|Instructor Comments| 2.|The pictograph shows the number of hamburgers sold at Burger
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are made in order to use the t-test. Assumptions for t-test 1. The data comes from normal distribution or the sample size is greater than 30. 2. The sample is a simple random sample The t-test is a hypothesis test. There are seven steps for a hypothesis test. 1. 2. 3. 4. 5. 6. 7. State the null hypothesis State the alternative hypothesis State the level of significance State the test statistic Calculate Statistical Conclusion Experimental Conclusion Example One-Sample t-test
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analysis of the variables‚ statistical tests and methods used in the assigned research paper. The level of significance and the strengths and limitations of the data collection process were also reviewed. This study had several variables. One major independent variable is the qualitative questionnaire that was verbally given. In this scenario the dependent variable would be the measurement of the data that was collected. The process of a cause-effect relationship can be considered here. Qualitative
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