Holidays Homework(10+1) Economics. 1 Calculate arithmetic mean with the help of following data.use direct method.
|
|
- Magdalen Sutton
- 5 years ago
- Views:
Transcription
1 Holidays Homework(+1) Economics 1 Calculate arithmetic mean with the help of following data.use direct method. Wages : 0 0 Workers No. of : 1 Compute arithmetic mean by using short cut method. Salaries: Workers: 1 Calculate average marks of the following students using(a) direct method Students X : 1 Y : 1 1 Calculate arithmetic mean by short cut method from the following data by direct, short cut and step deviation method. Sales: firms No. of: Calculate mean from the following data using short cut method: Marks : less than less than less than less than 0 less than 0 Students No. of: 1 0 Calculate arithmetic mean by step deviation method. Wages : more than 0 more than more than more than more than No. of Workers : 0 1 Find out the average pocket expences of the students of a class. Pocket Expences: No. of students : Calculate missing value if mean of the series is 1. X:? 1 0 Y: 1 1 Calculate weight mean if X: Y:
2 The mean height of male workers in a factory is 1cm and the mean height of female Workers in the same factory is cm. Find the combined mean height of 0 workers in this factory. 11 Find out median from the following data Calculate median from the following data: X: 0 0 f: Calculate median from the following data: C.I F : Calculate median from following data: C.I. : below below below below 0 below 0 below 0 C.F.: Calculate the median from the following data. Weight : No. of cherries : Calculate median from data given below: X: below F: 1 0- below and above 1 Given that median marks are, find out missing frequency if total number of students is 0 Marks: No f students :?? 1 Calculate Q1, Q, D and P. Sr No. 1 Marks Find out Q1, Q, D and P from the following data : Variables : Frequency:
3 Find modal item of the following data:,,,,,,,,,,,,,,,1,,,, 1 From the following data, calculate mode. Salary : No. of: 1 Workers Find the value of mode from the following data: C. I.: F : Calculate mode of the following data using grouping method. C.I: less than 1 less than less than less than less than less than 0 less than F: 11 0 Calculale mode of the following series: C.I: F: 0 Calculate median from the following data: Mid Values : 0 Frequency : Find the value of mode if median of a series is 1. and its arithmetic mean is 1.. Find the range and the coefficient from the data given below. X: 1 0 F : 11 Find the range and its coefficient from the following data. Wages : Workers: Find out inter quartile range,quartile deviation, and coefficient of quartile deviation 1,, 1,, 11,,,,,
4 . Calculate inter quartile range, quartile deviation and coefficient of quartile deviation X: F: 1 Find out inter quartile range, quartile deviation and coefficient of quartile deviation from the Following information. Wages : No. of Workers : 1. Calculate mean deviation and its coefficient from the following data by using mean and median. X: 1 F: 1 Calculate Mean deviation and its coefficient using arithmetic mean and median. X : F : Calculate Standard Deviation by using direct and short cut method and its coefficient from the following data. X: 0 0 F: Calculate Standard Deviation and its coefficient by using direct and short cut method from the Following data. Marks : No.of Students : Using step deviation method, calculate standard deviation of the following series; X: F: 0 Calculate coefficient of variation from the following data: Variables : Frequencies:
5 Estimate coefficient of variation of the following data: Weight(kg): No. of Persons: 1 0 Cal ulate Karl Pearso s oeffi ie t of orrelatio X : 0 0 Y : y a tual 0 Cal ulate Karl Pearso s oeffi ie t of orrelatio y dire t X: 1 Y : 0 1 Cal ulate Karl Pearso s oeffi ie t of orrelatio fro using short cut method Exports: Imports: 1 1 Cal ulate Karl Pearso s oeffi ie t of orrelatio step deviation method. X: Y: ea ethod. ethod. the followi g data by etwee X a d Y y usi g Calculate coefficient of correlation : Number of items (N) Variance Series X 1 Series Y Calculate coefficient of rank correlation for the data given below. X: 0 0 Y : 0 0 Calculate coefficient of rank correlation for series x and series Y. X: 0 0 Y: 1 1 0
6 Calculate the Index number for the year 0 on the basis of 1 by ( i ) simple aggregative method (ii) simple average of price relatives method Commodities: A B C D Base year Price: 1 Current Year Price : 0 0 Construct index numbers from the following data using i Laspeyre s ethod ii Paas he s ethod iii Fisher s ethod Commodities A B C Price(Base Year) Qty (Base Year) Price(current year) Qty(current Year ) 1 1 Calculate weighted index number: Commodities Wheat Weights Price(base year) Price(current year) Rice 1 Milk Oil Construct consumer price index using (i) Aggregative expenditure method (ii) Family budget method Commodities: A B C D Qty(base year): Price(base year): 0 Price(current year): 0 0 Construct an index of industrial production the following data: Industry: A B C Weights: Qty(base year): 0 Qty(current year): Learn Exercise questions of chapter-,,,,11,1 of Part-B D Pulses E D 0 0
7
8
MEASURES OF CENTRAL TENDENCY
MAT001-Statistics for Engineers MEASURES OF CENTRAL TENDENCY DESCRIPTIVE STATISTICAL MEASURES Graphical representation summarizes information in the data. In addition to the diagrammatic and graphic representations
More informationOverview of Dispersion. Standard. Deviation
15.30 STATISTICS UNIT II: DISPERSION After reading this chapter, students will be able to understand: LEARNING OBJECTIVES To understand different measures of Dispersion i.e Range, Quartile Deviation, Mean
More informationUnit 2: Index Numbers
Unit 2: Index Numbers Index Number Index numbers are statistical devices designed to measrure the relative changes in the level of phenomenon with respect to time, geographical location or other characteristics
More informationMATHEMATICS-IIA. 1. Calculate the variance and standard deviation of the following continuous frequency distribution
1. Calculate the variance and standard deviation of the following continuous frequency distribution 30-40 40-50 50-60 60-70 70-80 80-90 90-100 3 7 1 15 8 3 d i = ( x i A ) c d i d i d i 30-40 3 35-3 9-9
More informationFinansiell Statistik, GN, 15 hp, VT2008 Lecture 17-2: Index Numbers
Finansiell Statistik, GN, 15 hp, VT2008 Lecture 17-2: Index Numbers Gebrenegus Ghilagaber, PhD, Associate Professor May 7, 2008 1 1 Introduction Index numbers are summary measures used to compare the general
More informationDr. G.R. Damodaran college of Science Coimbatore GRD School of Commerce and International Business II B Com(CS) ( ) Semester IV
Dr. G.R. Damodaran college of Science Coimbatore 641 014 GRD School of Commerce and International Business II B Com(CS) (2016-2019) Semester IV Allied : Business Statistics - 405D Multiple Choice Question
More informationMEASURES OF CENTRAL TENDENCY
INTRODUCTION: MEASURES OF CENTRAL TENDENCY Often, one encounters e term Measures of central tendency in a book on statistics (or an examination). One may also find mention of e term in a description of
More information[ z = 1.48 ; accept H 0 ]
CH 13 TESTING OF HYPOTHESIS EXAMPLES Example 13.1 Indicate the type of errors committed in the following cases: (i) H 0 : µ = 500; H 1 : µ 500. H 0 is rejected while H 0 is true (ii) H 0 : µ = 500; H 1
More informationBBA - I YEAR DJB1C : BUSINESS MATHEMATICS AND STATISTICS SYLLABUS
BBA - I YEAR DJBC : BUSINESS MATHEMATICS AND STATISTICS SYLLABUS UNIT I: Measures of centraltendency Mean, Median, Mode, G.M. and H.M. Dispersion Range Q.D. M.D. S.D. C.V. UNIT II: Simple Correlation and
More informationHigher Secondary - First year STATISTICS Practical Book
Higher Secondary - First year STATISTICS Practical Book th_statistics_practicals.indd 07-09-08 8:00:9 Introduction Statistical tools are important for us in daily life. They are used in the analysis of
More informationChapter 1 - Lecture 3 Measures of Location
Chapter 1 - Lecture 3 of Location August 31st, 2009 Chapter 1 - Lecture 3 of Location General Types of measures Median Skewness Chapter 1 - Lecture 3 of Location Outline General Types of measures What
More informationDescriptive Statistics
Contents 36 Descriptive Statistics 36.1 Describing Data 2 36.2 Exploring Data 26 Learning outcomes In the first Section of this Workbook you will learn how to describe data sets and represent them numerically
More informationPreliminary Statistics course. Lecture 1: Descriptive Statistics
Preliminary Statistics course Lecture 1: Descriptive Statistics Rory Macqueen (rm43@soas.ac.uk), September 2015 Organisational Sessions: 16-21 Sep. 10.00-13.00, V111 22-23 Sep. 15.00-18.00, V111 24 Sep.
More informationUNIT - 3 : STATISTICAL TOOLS AND INTERPRETATION Ch-6 MEASURES OF DISPERSION Points to rememeber * Dispersion is a measure of the variation of the items from central value. * The measures of dispersion
More informationChapter 1:Descriptive statistics
Slide 1.1 Chapter 1:Descriptive statistics Descriptive statistics summarises a mass of information. We may use graphical and/or numerical methods Examples of the former are the bar chart and XY chart,
More informationSTATISTICS. 1. Measures of Central Tendency
STATISTICS 1. Measures o Central Tendency Mode, median and mean For a sample o discrete data, the mode is the observation, x with the highest requency,. 1 N F For grouped data in a cumulative requency
More informationStatistical thinking will one day be as necessary for efficient citizenship as the ability to read and write. H.G. Wells
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write. H.G. Wells 1 Statistics is a science which deals with collection, tabulation, presentation,
More informationDescriptive Statistics Class Practice [133 marks]
Descriptive Statistics Class Practice [133 marks] The weekly wages (in dollars) of 80 employees are displayed in the cumulative frequency curve below. 1a. (i) (ii) Write down the median weekly wage. Find
More informationSTATISTICAL DERIVATIVES AND MEASURES OF CENTRAL TENDENCY
Processing and Presentation of Data UNIT 8 STATISTICAL DERIVATIVES AND MEASURES OF CENTRAL TENDENCY STRUCTURE 8.0 Objectives 8.1 Introduction 8.2 Statistical Derivatives 8.2.1 Percentage 8.2.2 Ratio 8.2.3
More informationSLOW LEARNERS MATERIALS BUSINESS MATHEMATICS SIX MARKS QUESTIONS
SLOW LEARNERS MATERIALS BUSINESS MATHEMATICS SIX MARKS QUESTIONS 1. Form the differential equation of the family of curves = + where a and b are parameters. 2. Find the differential equation by eliminating
More informationSolutionbank S1 Edexcel AS and A Level Modular Mathematics
Mathematical models in probability and statistics Exercise A, Question 1 Give one advantage and one disadvantage of using a mathematical model. Mathematical models are quicker and cheaper to produce. But
More informationIB MATH SL Test Review 2.1
Name IB MATH SL Test Review 2.1 Date 1. A student measured the diameters of 80 snail shells. His results are shown in the following cumulative frequency graph. The lower quartile (LQ) is 14 mm and is marked
More informationSolutionbank S1 Edexcel AS and A Level Modular Mathematics
file://c:\users\buba\kaz\ouba\s1_3_a_1.html Exercise A, Question 1 15 students do a mathematics test. Their marks are shown opposite. a Find the value of the median. b Find Q 1 and Q 3. 7 4 9 7 6 10 12
More informationStatistics Handbook. All statistical tables were computed by the author.
Statistics Handbook Contents Page Wilcoxon rank-sum test (Mann-Whitney equivalent) Wilcoxon matched-pairs test 3 Normal Distribution 4 Z-test Related samples t-test 5 Unrelated samples t-test 6 Variance
More informationMIT Arts, Commerce and Science College, Alandi, Pune DEPARTMENT OF STATISTICS. Question Bank. Statistical Methods-I
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 MIT Arts, Commerce and Science College, Alandi, Pune DEPARTMENT OF STATISTICS Question Bank Statistical Methods-I Questions for 2 marks Define the following terms: a. Class limits
More informationCENTRAL TENDENCY (1 st Semester) Presented By Dr. Porinita Dutta Department of Statistics
CENTRAL TENDENCY (1 st Semester) Presented By Dr. Porinita Dutta Department of Statistics OUTLINES Descriptive Statistics Introduction of central tendency Classification Characteristics Different measures
More informationBUSINESS MATHEMATICS XII - STANDARD MODEL QUESTION PAPER
BUSINESS MATHEMATICS XII - STANDARD MODEL QUESTION PAPER (ENGLISH VERSION) Time Allowed : 3 Hours Maximum Marks : 00 Section - A Section A N.B. : (i) Answer all the 40 questions (ii) Each question carries
More information12 STD BUSINESS MATHEMATICS
STD BUSINESS MATHEMATICS www.kalvisolai.com 0 MARK FAQ S: CHAPTER :. APPLICATION OF MATRICES AND DETERMINANTS. If A verify that AAdjA AdjA A AI. (M 0). Show that the equations y + z = 7, + y 5z =, + y
More informationCollege Mathematics
Wisconsin Indianhead Technical College 10804107 College Mathematics Course Outcome Summary Course Information Description Instructional Level Total Credits 3.00 Total Hours 48.00 This course is designed
More informationQuantitative Tools for Research
Quantitative Tools for Research KASHIF QADRI Descriptive Analysis Lecture Week 4 1 Overview Measurement of Central Tendency / Location Mean, Median & Mode Quantiles (Quartiles, Deciles, Percentiles) Measurement
More informationMidterm 1 and 2 results
Midterm 1 and 2 results Midterm 1 Midterm 2 ------------------------------ Min. :40.00 Min. : 20.0 1st Qu.:60.00 1st Qu.:60.00 Median :75.00 Median :70.0 Mean :71.97 Mean :69.77 3rd Qu.:85.00 3rd Qu.:85.0
More informationClass 11 Maths Chapter 15. Statistics
1 P a g e Class 11 Maths Chapter 15. Statistics Statistics is the Science of collection, organization, presentation, analysis and interpretation of the numerical data. Useful Terms 1. Limit of the Class
More information12.2. Measures of Central Tendency: The Mean, Median, and Mode
12.2. Measures of Central Tendency: The Mean, Median, and Mode 1 Objective A. Find the mean, median, and mode for a set of data. 2 Introduction Tongue Twister Averages Is there a relationship between the
More informationSection 3. Measures of Variation
Section 3 Measures of Variation Range Range = (maximum value) (minimum value) It is very sensitive to extreme values; therefore not as useful as other measures of variation. Sample Standard Deviation The
More informationAnswer key. Statistics March Section A
Answer key Statistics March 2018 Section A One mark 1. Cohort is a group of individuals who are born at the same time and who experience the same mortality conditions 2. 100 3. Base year quantities 4.
More informationIntroductory Mathematics and Statistics Summer Practice Questions
University of Warwick Introductory Mathematics and Statistics Summer Practice Questions Jeremy Smith Piotr Z. Jelonek Nicholas Jackson This version: 22nd August 2017 Please find below a list of warm-up
More informationProbability Solved Sums
Probability Solved Sums The mean is the usual Average, so add and then divide. The median is the middle value, so first rewrite the given number in ascending order. The mode is the number that is repeated
More informationDiploma Part 2. Quantitative Methods. Examiners Suggested Answers
Diploma Part 2 Quantitative Methods Examiners Suggested Answers Q1 (a) A frequency distribution is a table or graph (i.e. a histogram) that shows the total number of measurements that fall in each of a
More informationGROUPED DATA E.G. FOR SAMPLE OF RAW DATA (E.G. 4, 12, 7, 5, MEAN G x / n STANDARD DEVIATION MEDIAN AND QUARTILES STANDARD DEVIATION
FOR SAMPLE OF RAW DATA (E.G. 4, 1, 7, 5, 11, 6, 9, 7, 11, 5, 4, 7) BE ABLE TO COMPUTE MEAN G / STANDARD DEVIATION MEDIAN AND QUARTILES Σ ( Σ) / 1 GROUPED DATA E.G. AGE FREQ. 0-9 53 10-19 4...... 80-89
More informationCORRELATION ANALYSIS. Dr. Anulawathie Menike Dept. of Economics
CORRELATION ANALYSIS Dr. Anulawathie Menike Dept. of Economics 1 What is Correlation The correlation is one of the most common and most useful statistics. It is a term used to describe the relationship
More informationDwelling Price Ranking vs. Socio-Economic Ranking: Possibility of Imputation
Dwelling Price Ranking vs. Socio-Economic Ranking: Possibility of Imputation Larisa Fleishman Yury Gubman Aviad Tur-Sinai Israeli Central Bureau of Statistics The main goals 1. To examine if dwelling prices
More informationOfficial GRE Quantitative Reasoning Practice Questions, Volume 1
GRADUATE RECORD EXAMINATIONS Official GRE Quantitative Reasoning Practice Questions, Volume 1 Large Print (18 point) Edition Chapter 6 Data Analysis Questions Copyright 2014 by Educational Testing Service.
More informationAuthor : Dr. Pushpinder Kaur. Educational Statistics: Mean Median and Mode
B.ED. PART- II ACADEMIC SESSION : 2017-2018 PAPER XVIII Assessment for Learning Lesson No. 8 Author : Dr. Pushpinder Kaur Educational Statistics: Mean Median and Mode MEAN : The mean is the average value
More informationIntroductory Mathematics and Statistics Summer Practice Questions
University of Warwick Introductory Mathematics and Statistics Summer Practice Questions Jeremy Smith Piotr Z. Jelonek Nicholas Jackson This version: 15th August 2018 Please find below a list of warm-up
More informationMore on Variability. Overview. The Variance is sensitive to outliers. Marriage Data without Nevada
Overview More on Variability Dr Tom Ilvento Department of Food and Resource Economics Continue the discussion of the variance and standard deviation Introduce the Coefficient of Variation (CV) Revisit
More informationLecture 12: Small Sample Intervals Based on a Normal Population Distribution
Lecture 12: Small Sample Intervals Based on a Normal Population MSU-STT-351-Sum-17B (P. Vellaisamy: MSU-STT-351-Sum-17B) Probability & Statistics for Engineers 1 / 24 In this lecture, we will discuss (i)
More informationBRITISH VIRGIN ISLANDS SECTORAL GROSS DOMESTIC PRODUCT MARKET PRICES (current prices) (US$M)
SECTORAL GROSS DOMESTIC PRODUCT MARKET PRICES (current prices) Sector 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000r 2001r 2002r 2003r 2004r 2005e Agriculture, Hunting & Forestry 1.36 1.50 1.63 1.77
More informationDescribing Data: Numerical Measures
Describing Data: Numerical Measures Chapter 3 Learning Objectives Calculate the arithmetic mean, weighted mean, geometric mean, median, and the mode. Explain the characteristics, uses, advantages, and
More informationAfter completing this chapter, you should be able to:
Chapter 2 Descriptive Statistics Chapter Goals After completing this chapter, you should be able to: Compute and interpret the mean, median, and mode for a set of data Find the range, variance, standard
More information12 STD BUSINESS MATHEMATICS
STD BUSINESS MATHEMATICS 6 MARK FAQ S: CHAPTER :. APPLICATION OF MATRICES AND DETERMINANTS. Given, A verify that A AdjA (J 7; O 7 ; O ). Find the inverse of, b a A and verify that I AA. (J 6). Verify A
More informationSTAT 328 (Statistical Packages)
Department of Statistics and Operations Research College of Science King Saud University Exercises STAT 328 (Statistical Packages) nashmiah r.alshammari ^-^ Excel and Minitab - 1 - Write the commands of
More informationMeasures of Central Tendency
Measures of Central Tendency Summary Measures Summary Measures Central Tendency Mean Median Mode Quartile Range Variance Variation Coefficient of Variation Standard Deviation Measures of Central Tendency
More informationCIVL 7012/8012. Collection and Analysis of Information
CIVL 7012/8012 Collection and Analysis of Information Uncertainty in Engineering Statistics deals with the collection and analysis of data to solve real-world problems. Uncertainty is inherent in all real
More information8.4 Application to Economics/ Biology & Probability
8.4 Application to Economics/ Biology & 8.5 - Probability http://classic.hippocampus.org/course_locat or?course=general+calculus+ii&lesson=62&t opic=2&width=800&height=684&topictitle= Costs+&+probability&skinPath=http%3A%2F%
More informationJh Venkateshwar International School Sector-18, Dwarka, New Delhi-78 Holiday Homework Worksheet ( ) CLASS-XI
Jh Venkateshwar International School Sector-18, Dwarka, New Delhi-78 Holiday Homework Worksheet (2017-18) CLASS-XI ENGLISH Section A Writing Q.1 Schools have been closed due to excessive air-pollution.
More informationMeasures of Central Tendency
Statistics It is the science of assembling, analyzing, characterizing, and interpreting the collection of data. The general characterized of data: 1. Data shows a tendency to concentrate at certain values:
More informationCOMPLEMENTARY EXERCISES WITH DESCRIPTIVE STATISTICS
COMPLEMENTARY EXERCISES WITH DESCRIPTIVE STATISTICS EX 1 Given the following series of data on Gender and Height for 8 patients, fill in two frequency tables one for each Variable, according to the model
More informationFOUNDATON EXAMINATION
FOUNDATON EXAMINATION (REVISED SYLLABUS - 008) Paper - 4 : BUSINESS MATHEMATICS & STATISTICS FUNDAMENTALS Section - I [ Arithmetic ] y z Q.. (a) If then show that b c c a ab (b c)( a) + (c a)(y b) + (a
More informationDescribing Data: Numerical Measures
Describing Data: Numerical Measures Chapter 03 McGraw-Hill/Irwin Copyright 2013 by The McGraw-Hill Companies, Inc. All rights reserved. LEARNING OBJECTIVES LO 3-1 Explain the concept of central tendency.
More informationINTENDED LEARNING OUTCOMES At the completion of this course, students are expected to:
EDO UNIVERSITY IYAMHO COURSE CODE: ECO 113 COURSE TITLE: Introductory Statistics 1 NUMBER OF UNITS:2 Units COURSE DURATION: Two hours per week COURSE LECTURER: Dr. Sylvester Ohiomu INTENDED LEARNING OUTCOMES
More informationWelfare Comparisons, Economies of Scale and Indifference Scale in Time Use
Welfare Comparisons, Economies of Scale and Indifference Scale in Time Use Crem, University of Rennes I May 7, 2013 Equivalence Scale for Welfare Comparisons Equivalence scales= tools to make interpersonal
More informationadditionalmathematicsstatisticsadditi onalmathematicsstatisticsadditionalm athematicsstatisticsadditionalmathem aticsstatisticsadditionalmathematicsst
additionalmathematicsstatisticsadditi onalmathematicsstatisticsadditionalm athematicsstatisticsadditionalmathem aticsstatisticsadditionalmathematicsst STATISTICS atisticsadditionalmathematicsstatistic
More informationExercise E7. Heteroskedasticity and Autocorrelation. Pilar González and Susan Orbe. Dpt. Applied Economics III (Econometrics and Statistics)
Exercise E7 Heteroskedasticity and Autocorrelation Pilar González and Susan Orbe Dpt. Applied Economics III (Econometrics and Statistics) Pilar González and Susan Orbe OCW 2014 E7 Heteroskedasticity and
More informationTHE ROYAL STATISTICAL SOCIETY 2002 EXAMINATIONS SOLUTIONS ORDINARY CERTIFICATE PAPER II
THE ROYAL STATISTICAL SOCIETY 2002 EXAMINATIONS SOLUTIONS ORDINARY CERTIFICATE PAPER II The Society provides these solutions to assist candidates preparing for the examinations in future years and for
More informationSTATISTICS ( CODE NO. 08 ) PAPER I PART - I
STATISTICS ( CODE NO. 08 ) PAPER I PART - I 1. Descriptive Statistics Types of data - Concepts of a Statistical population and sample from a population ; qualitative and quantitative data ; nominal and
More informationSECOND UNIVERSITY EXAMINATION
OLLSCOIL NA héireann, GAILLIMH NATIONAL UNIVERSITY OF IRELAND, GALWAY AUTUMN EXAMINATIONS, 2000 2001 SECOND UNIVERSITY EXAMINATION STATISTICS [MA237] Dr. D. Harrington, Dr. J.N. Sheahan, Paul Wilson, M.A.,
More informationSESSION 5 Descriptive Statistics
SESSION 5 Descriptive Statistics Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple
More informationNorth Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003
AAE 03002 March 2003 North Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003 Randal C. Coon and F. Larry Leistritz * This report provides estimates of the
More informationA is one of the categories into which qualitative data can be classified.
Chapter 2 Methods for Describing Sets of Data 2.1 Describing qualitative data Recall qualitative data: non-numerical or categorical data Basic definitions: A is one of the categories into which qualitative
More informationECON 427: ECONOMIC FORECASTING. Ch1. Getting started OTexts.org/fpp2/
ECON 427: ECONOMIC FORECASTING Ch1. Getting started OTexts.org/fpp2/ 1 Outline 1 What can we forecast? 2 Time series data 3 Some case studies 4 The statistical forecasting perspective 2 Forecasting is
More informationCorrelation and Regression
Correlation and Regression. ITRDUCTI Till now, we have been working on one set of observations or measurements e.g. heights of students in a class, marks of students in an exam, weekly wages of workers
More informationECON501 - Vector Di erentiation Simon Grant
ECON01 - Vector Di erentiation Simon Grant October 00 Abstract Notes on vector di erentiation and some simple economic applications and examples 1 Functions of One Variable g : R! R derivative (slope)
More informationAnnouncements. Lecture 1 - Data and Data Summaries. Data. Numerical Data. all variables. continuous discrete. Homework 1 - Out 1/15, due 1/22
Announcements Announcements Lecture 1 - Data and Data Summaries Statistics 102 Colin Rundel January 13, 2013 Homework 1 - Out 1/15, due 1/22 Lab 1 - Tomorrow RStudio accounts created this evening Try logging
More information375 PU M Sc Statistics
375 PU M Sc Statistics 1 of 100 193 PU_2016_375_E For the following 2x2 contingency table for two attributes the value of chi-square is:- 20/36 10/38 100/21 10/18 2 of 100 120 PU_2016_375_E If the values
More informationMATHEMATICS MC 17 M 1 1
MATHEMATIS M 17 M 1 1 M 17 M - 1 SETION I (40 Marks) (All questions in this section are compulsory) Question 1 (a) Solve the following inequation and graph the solution set on the number line x 3 < x +
More informationTribhuvan University Institute of Science and Technology 2065
1CSc. Stat. 108-2065 Tribhuvan University Institute of Science and Technology 2065 Bachelor Level/First Year/ First Semester/ Science Full Marks: 60 Computer Science and Information Technology (Stat. 108)
More informationTHE ROYAL STATISTICAL SOCIETY 2015 EXAMINATIONS SOLUTIONS HIGHER CERTIFICATE MODULE 3
THE ROYAL STATISTICAL SOCIETY 015 EXAMINATIONS SOLUTIONS HIGHER CERTIFICATE MODULE 3 The Society is providing these solutions to assist candidates preparing for the examinations in 017. The solutions are
More informationECLT 5810 Data Preprocessing. Prof. Wai Lam
ECLT 5810 Data Preprocessing Prof. Wai Lam Why Data Preprocessing? Data in the real world is imperfect incomplete: lacking attribute values, lacking certain attributes of interest, or containing only aggregate
More informationAP Final Review II Exploring Data (20% 30%)
AP Final Review II Exploring Data (20% 30%) Quantitative vs Categorical Variables Quantitative variables are numerical values for which arithmetic operations such as means make sense. It is usually a measure
More information1 Paid Copy Don t Share With Anyone
Probability Solved Sums The mean is the usual Average, so add and then divide. The median is the middle value, so first rewrite the given number in ascending order. The mode is the number that is repeated
More informationUnit 2. Describing Data: Numerical
Unit 2 Describing Data: Numerical Describing Data Numerically Describing Data Numerically Central Tendency Arithmetic Mean Median Mode Variation Range Interquartile Range Variance Standard Deviation Coefficient
More informationMgtOp 215 Chapter 3 Dr. Ahn
MgtOp 215 Chapter 3 Dr. Ahn Measures of central tendency (center, location): measures the middle point of a distribution or data; these include mean and median. Measures of dispersion (variability, spread):
More informationLecture # 31. Questions of Marks 3. Question: Solution:
Lecture # 31 Given XY = 400, X = 5, Y = 4, S = 4, S = 3, n = 15. Compute the coefficient of correlation between XX and YY. r =0.55 X Y Determine whether two variables XX and YY are correlated or uncorrelated
More informationSTRAND E: STATISTICS. UNIT E4 Measures of Variation: Text * * Contents. Section. E4.1 Cumulative Frequency. E4.2 Box and Whisker Plots
STRAND E: STATISTICS E4 Measures of Variation Text Contents * * Section E4.1 E4.2 Box and Whisker Plots E4 Measures of Variation E4.1 * frequencies are useful if more detailed information is required about
More informationES103 Introduction to Econometrics
Anita Staneva May 16, ES103 2015Introduction to Econometrics.. Lecture 1 ES103 Introduction to Econometrics Lecture 1: Basic Data Handling and Anita Staneva Egypt Scholars Economic Society Outline Introduction
More informationExercise sheet 3 The Multiple Regression Model
Exercise sheet 3 The Multiple Regression Model Note: In those problems that include estimations and have a reference to a data set the students should check the outputs obtained with Gretl. 1. Let the
More informationANSWERS AND EXPLANATIONS
www.tarainstitute.in ANSWERS AND EXPLANATIONS EXERCISE. (a) Given,? x? x??. (c) Let the numbers be x and x. Now, difference of numbers 0 i.e. x x 0 x 0 Larger number 0 0. (d) Suppose the first number is
More informationMicroeconomic Theory -1- Introduction
Microeconomic Theory -- Introduction. Introduction. Profit maximizing firm with monopoly power 6 3. General results on maximizing with two variables 8 4. Model of a private ownership economy 5. Consumer
More informationSlide 1. Slide 2. Slide 3. Pick a Brick. Daphne. 400 pts 200 pts 300 pts 500 pts 100 pts. 300 pts. 300 pts 400 pts 100 pts 400 pts.
Slide 1 Slide 2 Daphne Phillip Kathy Slide 3 Pick a Brick 100 pts 200 pts 500 pts 300 pts 400 pts 200 pts 300 pts 500 pts 100 pts 300 pts 400 pts 100 pts 400 pts 100 pts 200 pts 500 pts 100 pts 400 pts
More informationThe TransPacific agreement A good thing for VietNam?
The TransPacific agreement A good thing for VietNam? Jean Louis Brillet, France For presentation at the LINK 2014 Conference New York, 22nd 24th October, 2014 Advertisement!!! The model uses EViews The
More informationKÖZGAZDASÁGI ALAPISMERETEK (ELMÉLETI GAZDASÁGTAN) ANGOL NYELVEN
Közgazdasági alapismeretek (elméleti gazdaságtan) középszint angol nyelven Javítási-értékelésiútmutató 1212 ÉRETTSÉGI VIZSGA 2012. május 25. KÖZGAZDASÁGI ALAPISMERETEK (ELMÉLETI GAZDASÁGTAN) ANGOL NYELVEN
More informationEconomics 250 Midterm 1 17 October 2013 three
Economics 250 Midterm 1 17 October 2013 Instructions: You may use a hand calculator. Do not hand in the question and formula sheets. Answer all three questions in the answer booklet provided. Show your
More informationUGRC 120 Numeracy Skills
UGRC 120 Numeracy Skills Session 1 REVIEWS OF BASIC ALGEBRAIC MATHEMATICS II Lecturer: Dr. Ezekiel N. N. Nortey/Mr. Enoch Nii Boi Quaye, Statistics Contact Information: ennortey@ug.edu.gh/enbquaye@ug.edu.gh
More information1. The (dependent variable) is the variable of interest to be measured in the experiment.
Chapter 10 Analysis of variance (ANOVA) 10.1 Elements of a designed experiment 1. The (dependent variable) is the variable of interest to be measured in the experiment. 2. are those variables whose effect
More informationa. Do you think the function is linear or non-linear? Explain using what you know about powers of variables.
8.5.8 Lesson Date: Graphs of Non-Linear Functions Student Objectives I can examine the average rate of change for non-linear functions and learn that they do not have a constant rate of change. I can determine
More informationMEANING, SCOPE AND ITS NEED IN ECONOMICS
Meaning, Scope and Its Need in Economics MODULE - 3 Introduction to Statistics 5 MEANING, SCOPE AND ITS NEED IN All of us want to know about everyday life around us. We can know about the nature of things
More informationMaterials for assessing adult numeracy
Materials for assessing adult numeracy Number Task The population of Wales is approximately Write this in numbers in the box. million. What is the value of the 7 in this number? Write your answer in words.
More informationF78SC2 Notes 2 RJRC. If the interest rate is 5%, we substitute x = 0.05 in the formula. This gives
F78SC2 Notes 2 RJRC Algebra It is useful to use letters to represent numbers. We can use the rules of arithmetic to manipulate the formula and just substitute in the numbers at the end. Example: 100 invested
More informationThe Solow Growth Model
The Solow Growth Model Lectures 5, 6 & 7 Topics in Macroeconomics Topic 2 October 20, 21 & 27, 2008 Lectures 5, 6 & 7 1/37 Topics in Macroeconomics From Growth Accounting to the Solow Model Goal 1: Stylized
More informationS.ID.1* CONSTRUCTED RESPONSE
Name Date Class S.ID.1* SELECTED RESPONSE Select the correct answer. 1. The data sets below show the numbers of cookies purchased by students at a bake sale. Which of the data sets is represented by the
More information