BICOL STATE COLLEGE OF APPLIED SCIENCE AND TECHNOLOGY NAGA CITY HISTORY OF STATISTICS Group 3 Members: Tricia Mae Berja Michelle Lee Desiree Basmayor Mica Rubio Gian Perucho Ivan Ricafort Ms. Donnalyn Matamorosa Dominic Bobis Teacher Alex Obligado Ancient Times (3000 BC – 27 BC) * Pictorial representation and other symbols were used for Statistics back in the days. (To record numbers of people‚ animals‚ etc.) * In Babylonia and China‚ population is
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pregnancy although she states she is sexually active and using no birth control. Gynecologic History: Patient is graved to par 1 abortus 1. her only child is a year old 15 year old daughter who lives in Texas that lives with her grandmother. PAST MEDICAL HISTORY: Positive for hepatitis B PAST SURGICAL HISTORY: Pilonidal cyst removed in the remote past‚ has plastic surgery on her ears child. SOCIAL HISTORY: Married‚ has 1 daughter‚ patient works as a substitute teacher‚ smokes 1 pack of cigarettes
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Wea`am Mohammad Al-jarie Dr. mokhleed zaza physics Medical applications of x-ray Introduction: X-radiation (composed of X-rays) is a form of electromagnetic radiation. X-rays have a wavelength in the range of 0.01 to 10 nanometers‚ corresponding to frequencies in the range 30 petahertz to 30 exahertz (3×1016 Hz to 3×1019 Hz) X-rays up to about 10 keV (10 to 0.10 nm wavelength) are classified as "soft" X-rays‚ and from about 10 to 120 keV (0.10 to 0.01 nm wavelength) as "hard" X-rays‚ due
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distribution –we are assuming gasoline prices are normally distributed Null hypothesis: The mean regular unleaded gas prices for your region is the same as that in the study µ 0 = 3.16 Alternate hypothesis: The mean regular unleaded gas prices for your region is greater than that in the study µ A > 3.16 Find the t-test statistic: t=(x(bar) - µ 0 )/(s/sqrt(n)) t = (3.1948 – 3.16)/(0.0889/sqrt(25)) t = 1.957255343 Find the P-value: P = 0.03102312 Write a conclusion in context. Since
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Statistics Project | September 26 2011 | The project statistically studies and compares the daily closing price movement of two investment options – real estate and gold represented by DLF stock and SBI Gold ETF respectively – over the past 3 years. | Comparative study of DLF Stock and Gold ETF price movement | Contents Stage 1 3 Overview 3 Problem Statement 3 Inferences 5 Stage 2 6 Hypothesis Testing 6 Stage 3 7 Linear Regression Analysis 7 Manual Calculations 7 Regression
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Statistics In Business Quantitative Analysis for Business September 22‚ 2013 Dr. John Kwagyan Introduction Statistics is a tool used in businesses for planning and measuring the various activities a business is engaged in. Descriptive and inferential statistics are two different types of statistics used in a business. Statistics is the most widely used quantitative method in business. Statistics describes a set of data and then it draws a conclusion from the data
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Statistics in Business Quantitative Analysis for Business University of Phoenix Tanya Bailey April 22‚ 2013 Statistics can sometimes be difficult for some individuals. Understanding the concept of statistics‚ which is known as the science of data‚ may help a person in the business world. This involves classifying‚ summarizing‚ analyzing‚ collecting‚ and interpreting numerical information. The information gathered from statistics can help startup companies‚ and even
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globe and the problems faces by the operation manger in call centers and discussed how there challenges are increases in contrast of traditional call centers and how the different modals help them in this uncertain and ever changing situation of call centre in new era The paper starts with introduction and then compromises on 6 sections Includes Traditional call center operations management problems‚ demand modulation‚ technology-driven innovations‚ human resources issues that affect call centers‚
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capital expenditure. By providing powerful reporting and analysis‚ managers can take control of their budgets. The purpose of this paper is to investigate capital budgeting decision under Galaxy Science Centre (GSC)‚ which is non-profit organization. The need for such an analysis emerges from the case that only provides general information concerning the impact of capital budgeting decisions in the presence of strategic interactions among GSC. We are facing significant problems in different conditions
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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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