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    Lecture Notes on Introductory Statistics‚ I (P.P. Leung) Lecture notes are based on the following textbook: N.A. Weiss (2012)‚ Introductory Statistics‚ 9th edition‚ Pearson. Chapter 1 The Nature of Statistics 統計本質 §1.1 Two kinds of Statistics §1.4 Other Sampling Designs (其他抽樣方法) Chapter 1 The Nature of Statistics 統計本質 What is Statistics? 何謂統計? From Wikipedia‚ the free encyclopaedia: Statistics is a mathematical science pertaining to the collection‚ analysis‚ interpretation

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    Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information‚ or the quantitative description itself. Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that

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    Lecture 1. Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population‚ but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that is being studying. That is‚ the results cannot be generalized to any larger group. Inferential statistics is concerned with making predictions or inferences about a population from observations

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    Millar Biology statistics made simple using Excel Biology statistics made simple using Excel Neil Millar Spreadsheet programs such as Microsoft Excel can transform the use of statistics in A-level science Statistics is an area that most A-level biology students (and their teachers!) find difficult. The formulae are often complicated‚ the calculations tedious‚ degrees of freedom mysterious‚ and probability tables confusing. But in fact students need no longer grapple with any of these.

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    Department of Mathematics COURSE INFORMATION SHEET |Course Code |MTHS002 | |Course Title |Descriptive and Inferential Statistics | |Prerequisite |MTHS001 (College Algebra) | |Credit/No. of Units

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    Organization of Terms Experimental Design Descriptive   Inferential   Population Parameter Sample Random Bias Statistic Types of Variables   Graphs Measurement scales Nominal Ordinal Interval Ratio Qualitative Quantitative Independent Dependent   Bar Graph Histogram Box plot Scatterplot Measures of Center Spread Shape Mean Median Mode Range Variance Standard deviation Skewness Kurtosis Tests of Association   Inference Correlation Regression Slope y-intercept

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    Major Statistics Assignment Mary Grace Rivero 050853639 CNUR860-011 Vaska Micevski Friday‚ March 30‚ 2012 Major Statistics Assignment This major statistics assignment will finally pull together everything that was learned in this course. The application of all content within this course will be incorporated to three different research scenarios. Within each scenario‚ hypothesis testing will be done‚ followed by a discussion of relevant descriptive statistics and finally‚ a discussion

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    In the hit book‚ The Pelican Brief‚ John Grisham’s depiction of lawyers who will do anything for money and their clients presents an interesting ethical dilemma. In the book‚ two Supreme Court justices are killed by a hired assassin‚ Khamel. FBI‚ CIA‚ and the press are working hard to find who the killer is. The only people who know the truth are attorneys from White and Blazevich‚ Nathaniel Jones (also known as Einstein)‚ Jarreld Schwabe‚ Marty Velmano‚ and F. Sims Wakefield and their client‚ Victor

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    Concepts 1. What is Inferential statistics? Inferential statistics uses observations of past occurrences or available data i.e. descriptive statistics to make decisions about future possibilities and/or the nature of the entire body of data. Inferential statistics draws conclusions or makes interpretations‚ predictions and inferences about a population based upon an analysis of a sample. 2. Give 2 different techniques which are used in descriptive statistics to represent the data. Tables or

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    a. 77 b. 102 c. 139 d. 185 2. A department store is considering a new credit policy to try to reduce the number of customers defaulting on payments. A suggestion is made to discontinue credit to any customer who has been late with his/her payment twice. Past records show that 3% of all customers default. Amongst the defaults 95% were late at least twice. Also‚ 10% of those who have not defaulted have been late twice. The department store is considering to adopt this policy if 50% or more

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