Convos/STAT 113 Service Learning Group Project Instructions 30 points total Josey Ho 0027899115 Peining Xie 0025880900 Xiaotian Zhang 0025741134 Start by watching the Convos video (link will be in Blackboard) to learn what Convos needs for us to do to help them choose artists to bring to campus next semester. We will all be working as statistical consultants. You will be working in groups to collect data‚ and then as a class we will prepare a report for Convos. Questions to answer with your group before collecting your data:
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Running head: College Athletes Stats Project- College Athlete Evaluation- Drinking vs. GPA Kelsie Benike‚ Kristina Gentile‚ Emily Nielsen‚ Staci Stadler Davenport University Course: Stat - 220 Professor: Diane Salinas Date: March 8‚ 2011 College Athlete Evaluation- Drinking vs. GPA In our study‚ we researched the effect that drinking has on a college athletes in the evaluation of their grade point average (GPA). The following variables were used: GPA‚ alcoholic drinks consumed on average
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Stat 113 Beiyi(Summer) Liu Professor Ihsan Shahwan Final Project Part C In order to figure out how variables relates to each other and the connections among the variables‚ or one can predict the other. I will choose three quantitative variables or two quantitative variables and one categorical variable on each pairs. I will also use graphs of scatter plots; regression and correlation to understand that how one variable affect other two variables
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1. MGT 370 International Management Jae Jung Fall 2013 University of Missouri-Kansas City MGT 370 International Management Jae Jung Fall 2013 University of Missouri-Kansas City Table of Contents Killer Coke: The Campaign Against Coca-Cola................................................................................5 2. 9B07C003 KILLER COKE: THE CAMPAIGN AGAINST COCA-COLA1 David Wesley wrote this case under the supervision of Professor Henry W. Lane solely to
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Population and Sample Our topic is about harmful effects that can affect a student’s performance in school and daily life. Our population of interest would be college students as they are the demographic most subject to many negative influences. Our sample would be stratified because we want to compare the answers of each of the classes: freshman‚ sophomores‚ juniors‚ and seniors. As a result‚ we would be able to see what types of harmful effects each class of students are most concerned about
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STA9708 Regression Analysis: Literacy rates and Poverty rates As we are aware‚ poverty rate serve as an indicator for a number of causes in the world. Poverty rates are linked with infant mortality‚ education‚ child labor and crime etc. In this project‚ I will apply the regression analysis learned in the Statistics course to study the relationship between literacy rates and poverty rates among different states in USA. In my study‚ the poverty rates will be the independent variable (x) and literacy
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1.1 For the following situation‚ indicate whether the statistical application is primarily descriptive or inferential. “The manager of Ann’s Fabric Shop has collected data for 10 years on the number of each type of dress fabric that has been sold at the store. She is interested in making a presentation that will illustrate these data effectively.” Suggested Answer: This application is primarily descriptive in nature. The owner wishes to develop a presentation. He will most likely use charts
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CGE13101 Understanding Society Through Statistical Reasoning Tutorial 3 1. A wholesale appliance distributing firm wished to study its accounts receivable for two successive months. Two independent samples of 50 accounts were selected for each of the two months. The results have been summarized below. Frequency distribution for accounts receivable Amount March Frequency April Frequency $0 - under $2‚000 $2‚000 - under $4‚000 $4‚000 - under $6‚000 $6‚000 -
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2.41 a. Number of Internet Searches Percentages A few search results 23 First page of search results 39 First two pages 19 First three pages 9 More than first three pages 10 b. Pie charts and bar graphs are two ways of representing
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Chapter 2 – Data 1. The news. Answers will vary. 2. Molten iron. Who – 10 crankshafts at Cleveland Casting. What – The pouring temperature (in degrees Fahrenheit) of molten iron. When – Sometime before the 1995 journal article. Where – Cleveland. Why – To ensure the pouring temperature of molten iron is close to 2550 degrees. How – Not specified. Variables – Temperature (in degrees Fahrenheit) is a quantitative variable. 3. Walking in Circles. Who – 32 volunteers. What – Sex‚ height
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