ASSIGNMENT SUBMISSION FORM Course Name: SMMD Assignment Title: Assignment 1 (HousePrices.jmp) Submitted by: Garima Agrawal (Section D) (Student name or group name) Group Member Name | PG ID | Garima Agrawal | 61410506 | Question1: The data for home values has a considerable wide range (429578) as compared to the inter-quartile range (93522). This means the data has a huge spread and the same can be verified from coefficient of variation which is even more than 41%. Besides
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QUESTION 3 (20 MARKS) a. A psychological test identifies people as being one of eight types. For instance‚ Type 1 is “Rationalist” and applies to 15% of men 8 % of women. Type 2 is “Teacher” and applies to 12% of men and 14% of women. Each person fits one and only one type. (i) Suppose college roommates have a particularly hard time getting along with each other if they are both ‘ Rationalist’. A college randomly assigns roommates of the same gender. Assuming that half of college roomate pairs
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INVESTIGATING THE SCALES OF ENVIRONMENTAL JUSTICE THROUGH GEOGRAPHIC INFORMATION SYSTEMS (GIS) AND SPATIAL ANALYSIS FOR AIR TOXICS IN WEST OAKLAND‚ CALIFORNIA (Fisher et al‚ 2006) The paper under analysis characterizes the spatial point pattern of air toxics in the U.S. Environmental Protection Agency (EPA) designated Environmental Justice area of West Oak-land‚ California. Integrating a GIS framework and an interdisciplinary statistical technique called Ripley’s K-function
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Descriptive Statistics 1.1 Descriptive vs. Inferential There are two main branches of statistics: descriptive and inferential. Descriptive statistics is used to say something about a set of information that has been collected only. Inferential statistics is used to make predictions or comparisons about a larger group (a population) using information gathered about a small part of that population. Thus‚ inferential statistics involves generalizing beyond the data‚ something that descriptive
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Introduction Learning goals ❖ What is meant by Statistics ❖ What is meant by Descriptive Statistics and Inferential Statistics ❖ Difference between Parameter & Statistic ❖ Types of Statistical Inferences What is meant by Statistics ? Statistics is the science of collecting‚ organizing‚ presenting‚ analyzing‚ and interpreting numerical data to assist in making more effective decisions. Types of Statistics Descriptive Statistics : • Methods of organizing‚ summarizing‚ and presenting
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How to Lie with Statistics Summary There are some people that rely heavily on the statistical information provided by the media‚ government‚ and other research groups in order to form opinions or come to a conclusion on a particular idea or product. However they fail to realize that a lot of the time the data is manipulated in such a way that leads them to believe something that is not actually the case. Statistics can lie in many ways the first way is by using a sample that has a bias. For instance
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In my thesis‚ I will analyze three websites on obesity statistics in the United States. The analysis of each website will contain how they function as sources‚ their strengths and weakness. The first source on obesity statistics is from the National Conference of State Legislatures (NCSL). This website is for policymakers to give them access to research‚ technical assistance and opportunities to exchange ideas on state issues. This information captures the basic overview where obesity occurred in
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Uses of Statistics HCS/438 August 2‚ 2011 Mike Janson Uses of Statistics The use of statistics has been proven to assist the understanding of information‚ data‚ in many ways. Statistical information is not just collected‚ but it is also organized and quantified‚ providing a clearer picture for further study. This writer will explain how statistics are used in my personal workplace‚ and describe aspects of the statistics used. Statistics in Personal Workplace My personal workplace is what
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QM2 Project Case Study 1- Consumer Characteristics Index Sno Title Page.no 0 | Introduction | 3 | 1 | Summarizing data using Descriptive Statistics | 4-6 | 2 2.1 2.2 | Estimated regression equations. Independent Variable- Annual Income. Independent Variable- Household Size | 7 8 9 | 3 | Better predictor of annual credit card charges | 10 | 4 | Independent variables- Annual income and Household size | 11 |
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eliminated‚ that is‚ . This statistic ranges from -1 to +1. Absolute values above 0.2 indicate great skewness (Hildebrand‚ 1986). Skewness has also been defined with respect to the third moment about the mean: ‚ which is simply the expected value of the distribution of cubed z scores. Skewness measured in this way is sometimes referred to as “Fisher’s skewness.” When the deviations from the mean are greater in one direction than in the other direction‚ this statistic will deviate from zero in
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