SUBJECT: BUSINESS STATISTICS COURSE CODE: MC-106 LESSON: 01 AUTHOR: SURINDER KUNDU VETTER: DR. B. S. BODLA AN INTRODUCTION TO BUSINESS STATISTICS OBJECTIVE: The aim of the present lesson is to enable the students to understand the meaning‚ definition‚ nature‚ importance and limitations of statistics. “A knowledge of statistics is like a knowledge of foreign language of algebra; it may prove of use at any time under any circumstance”……………………………………...Bowley. STRUCTURE: 1.1 1.2 1.3
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5-6pm WEEK 3 BES PASS Descriptive Statistics Population - a set of all possible observations. Sample - a portion of a population. We often use information concerning a sample to make an inference (conclusion) about the population. Parameter - describes a characteristic of the population‚ eg: the population variance Statistic- describes a characteristic of a sample‚ eg: the sample variance Frequency Distribution and Histograms Class - a collection of data which are mutually exclusive
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BUSINESS STATISTICS Agenda Introduction Descriptive Statistics One–Tailed Test About a Population Mean t-Test Using Two Independent Samples t-Test For Paired Samples Analysis of Variance (ANOVA) Regression Analysis U.S. Patent and Trademark Office (PT0) Descriptive Statistics Frequency Vs Total Provisional Filings One–Tailed Test About a Population Mean Selected a small sample of 12 months’ provisional application filings for large US entities (for fiscal year 1996) 1. Determine the Hypotheses
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Statistics in Business QNT/275 January 12‚ 2015 Kim Gravelle Statistics in Business Statistics are simply a way of gathering information from data. Learning from data is the essential use of statistics. The extraction of answers from data provides the foot print for further investigation and research. There are several different types and levels of statistics‚ they are nominal‚ ordinal‚ interval‚ and ratio ("Data Levels of Measurement"‚ 2014). The first level being nominal‚ allows for the use
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Data Analysis And Design BTEC HIGHER NATIONAL DIPLOMA Assignment Institute Name : IDM Computer Studies Pvt. Ltd. Unit Name : Data Analysis and Design Unit : Unit 13 Assignment Title : Understanding and Analysis‚ Design and Implementation of Database system. Date given : 10th May 2010 Date to be submitted : 20th July 2010 Lecturer : Mr. T. Shanakr Rational The objective of this assignment is to assure that the
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Inferential Statistics Article Critique Dawn Rivenburg PSY 325 Statistics for the Behavioral & Social Sciences Instructor: Jeral Kirwan January 16‚ 2017 In the article‚ Differential Effects of a Body Image Exposure Session on Smoking Urge Between Physically Active and Sedentary Female Smokers‚ the goal of the researchers was to assess the correlation of physical activity and smoking urges of women ages 18-24 years old. The researchers were also concerned with the effect of negative body
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Data Table Analysis Data Table Analysis Kudler’s Fine Foods is a gourmet food store that provides specialized products in the Southern California region. Since the inventory of the store is perishable‚ it is important to have control of the inventory on hand and put in place a procedure for replacing the inventory promptly. If Kudler’s has too much inventory on hand‚ the loss of revenues due to waste increases. Alternatively‚ if Kudler’s cannot replace inventory fast enough‚ they risk alienating
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Statistics and Psychology Paper There are numerous applications of statistical reasoning and research methods in the field of psychology. From simple aspects of reading and interpreting psychology articles‚ to completing personal research‚ statistics is a necessary concept to understand. The scientific method is essential to research‚ and many of the concepts cross the lines into statistics. It is also imperative for us to compare and contrast the characteristics of primary and secondary data
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21‚ NO. 8‚ AUGUST 2011 Robust Video Data Hiding Using Forbidden Zone Data Hiding and Selective Embedding Ersin Esen and A. Aydin Alatan‚ Member‚ IEEE Abstract—Video data hiding is still an important research topic due to the design complexities involved. We propose a new video data hiding method that makes use of erasure correction capa- bility of repeat accumulate codes and superiority of forbidden zone data hiding. Selective embedding is utilized
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ISDATA ANALYSIS USING SPSS Overview • Variable • Types of variables Qualitative Quantitative • Reliability and Validity • Hypothesis Testing • Type I and Type II Errors • Significance Level • SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables:
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