Bangor University Transfer Abroad Undergraduate Programme Module Implementation Plan

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1 Bangor University Transfer Abroad Undergraduate Programme Module Implementation Plan MODULE: BUS-121 Descriptive Statistics LECTURER: Dr Francis Jones INTAKE: 2013 SEMESTER: 3 ACTIVITY TYPES:, tutorial, exam Start Date: November 03, 2014 End Date: November 14, 2014 Year Semester Academic weeks Module Code Module Name Credits hrs/week Hrs/week (Local Tutor) Weeks II Fall Week 1 ~ /11/03~2012/11/14 BUS-121 Descriptive Statistics 10 Mon~Thu Fri 0830~ ~ , Monday-Thursday. 2 Course Detail: These modules will introduce the student to the fundamentals of descriptive statistics. BUS-121 will cover broad descriptions of data, graphing, probability, sampling, and common probability properties. Core Text: Gerald Keller et al, Statistics for Management and Economics, 6th Ed., 统计学 : 在经济和管理中的应用 (English Version. 第九版 ), South-Western College Pub The students have likely got the 8 th Edition, which is significantly different, but which does not cover BUS-121 very well. In this MIP, the reference to the book is to the 6 th edition (the old version). Assessment Assessment Types Date Value Final Exam 2012/10/ %

2 Week Activity Type Scheduled Contact Hours Activity Details Core Reading + Additional Reading + Practice Material Learning Outcomes Additional Student Preparation START WEEK 01 Monday Nov min Introduction to r, to the course. General rules. Introduction to Statistics. Core Text, Ch.1, 2. Define and Give Examples of : * Descriptive Statistics Tuesday Nov min Populations and Samples Define and Give Examples of : * Population * Sample 50 min Parameters and Statistics Define and Give Examples of : * Parameter * Statistic 50 min Problems in Ch.1,2. 50 min STUDENT SURVEY Types of Data * Interval, Ordinal, Nominal data Ch.2 Identify types of data 50 min * Conversion of data between types Able to do data conversion 50 min * EXCEL Able to use excel to do statistical calculations. 50 min Problems in Ch.2 * Section 2.2 (all), 2.3 ( no ogive needed), 2.4 (2.36 to 2.46), 2.5 ( ). Wednesday Nov min * General Ideas about making Pictures of Data: skew, mode, symmetry. * Histograms. Ch.2 * Define Data Skewness * Define Data Modality * Define Data Symmetry * what is a histogram?

3 * how to make it? 50 min * Bar Charts * Pie Charts * what is a bar chart? When used? * what is a pie chart? When used? 50 min * Scatter Plots * Correlation coefficient. What is it? How to calculate it? What are its properties? What does it tell you? * what is a scatter plot? * what is a correlation coefficient? * how to calculate correlation coefficient 50 min Problems in Ch.2 * Section 2.2 (all), 2.3 ( no ogive needed), 2.4 (2.36 to 2.46), 2.5 ( ) Thursday Nov min Measures of Location * Mean * Median * Mode * Comparison of different location measures Ch.4 Define & Calculate: * Mean *Median *Mode * Understand differences between measures of location 50 min Measures of Variability, Sampling *Interquartile Range * Range * Box Plots * Outliers Ch.4, Ch.5 Define & Calculate * IQR * Range * Box Plot * Outliers 50 min * Standard Deviation and Variance (population and sample) * Comparison of different variability measures * Define & Calculate Standard Deviation * Define & Calculate Variance * Understand differences between measures of variability 50 min Problems in Ch.4 Section 4.2: (4.1 to 4.11)

4 Friday Nov min Review the Student Survey * demonstrate problems in surveys * non-response errors * calculation error * data input error Ch.4, Ch.5 Understand different kinds of survey errors Home Study 0 Problems in Ch.4: Self Study on Weekend Section 4.3: (4.19 to 4.30) Section 4.4: (4.37 to 4.46) Section 4.5: (4.55 to 4.58) *** END WEEK 01

5 Week Activity Type Scheduled Contact Hours Activity Details Core Reading + Additional Reading + Practice Material Learning Outcomes Additional Student Preparation START WEEK 02 Monday Nov min Sampling Plans * samples, populations * purpose of sampling * effect of sample size, population size. Ch.5 What is a population? What is a sampling frame? What is a sample?. 50 min Types of Sampling Plans * simple random sample * stratified sample * cluster sample * convenience sample * pro's/con's of sampling plans Define and understand strengths/weaknesses of these different sampling plans 50 min Errors in Sampling * sampling errors * non-sampling errors Define and give examples of sampling errors, nonsampling errors 50 min Do a self-selected and Simple Random sample for the rectangles problem. Section 5.3: (5.6 to 5.10) Section 5.4: (5.11 to 5.16) Section 5.5: 5.17 and 5.18 Tuesday Nov min Probability * properties of probability * simple and complex events Ch.6 Properties of probability. Types of events. 50 min * independence of events * combining events Able to determine if two events are independent. 50 min * marginal, conditional, joint probabilities Able to calculate joint, marginal and conditional probabilities from a two-

6 factor probability table. 50 min Problems in Ch.6 Sect 6.2: (6.1 to 6.15) Sect 6.3: (6.16 to 6.34) Sect 6.4: (6.47 to 6.58) Chapter Review: (6.83 to 6.92) Wednesday Nov min Random Variables and Discrete Probability Distributions Ch.7 Define: Random Variable Define: Discrete probability distribution 50 min Specific Discrete distributions: * Binomial, * Poisson Identify Binomial and Poisson situations. Able to calculate probabilities in Binomial or Poisson situations. 50 min Bivariate Distributions * Application to Stock Portfolio Analysis Perform Stock Portfolio Analysis. Understand Covariance and its calculation. Understand what a bivariate distribution is. 50 min Problems in Ch.7 Sect 7.2: (7.1 to 7.21) 7.3: (7.22, 7.23, 7.36) 7.4: (7.43 to 7.53) 7.6: (7.81 to 7.100) 7.7: (7.106 to 7.118) Thursday Nov min Continuous Probability Distributions * probability density and its properties Ch.8 Understand probability density. distributions. 50 min * Normal Distribution Be able to calculate probabilities related to

7 50 min * t-distribution * Other Distributions: Chi-Squared, F 50 min REVIEW 50 min REVIEW Normal distribution Be able to calculate probabilities related to t, Chi-squared etc Friday Nov 14 2 hours Final Exam END WEEK 02

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