The document provides tips for solving data interpretation questions based on tables and graphs. It explains that data interpretation involves drawing conclusions from numerical data presented in tables, graphs, pie charts, etc. Some key tips include: 1) understand the overall data before reading questions; 2) avoid lengthy calculations as questions typically require reading data correctly; and 3) use visual attributes of graphs and tables to compare data and answer questions. It also provides examples of different types of graphs and tables and includes solved examples of data interpretation questions.
This document provides an overview of statistics and data presentation methods. It discusses descriptive and inferential statistics, parametric and non-parametric data, and scales of measurement. Common data presentation methods are described, including line graphs, bar graphs, pie charts, and their variations. Line graphs show trends over time, bar graphs visually compare quantities, and pie charts express percentages. Statistics helps analyze large datasets, compare phenomena, summarize information, facilitate planning, and allocate resources.
This document provides an overview of statistics and data presentation methods. It discusses:
- Descriptive and inferential statistics for collecting, organizing and analyzing data.
- Parametric and non-parametric data types that can be measured on nominal, ordinal, interval or ratio scales.
- Variables that may change value under given conditions, including independent and dependent variables.
- Methods for presenting data visually, including line graphs, bar graphs, and how to construct and interpret simple, group, compound and divergent versions of each type.
This document is the first chapter of a book on describing data with graphs. It defines key terms like variables, experimental units, and populations. It also distinguishes between categorical and quantitative variables. The chapter then explains different types of graphs to visualize categorical and quantitative data, such as bar charts, pie charts, line charts, dot plots, and stem-and-leaf plots. It concludes by defining concepts like symmetry, skewness, modality, and how to interpret the shapes of distributions.
This document discusses different types of charts and graphs that can be used to visually represent data. It provides examples of pie charts, bar charts, column charts, line charts, area charts, and scatter plots. Reasons for creating charts include making trends easily recognizable, allowing quick perception of information, and aiding data interpretation. Charts can be incorporated into business reports, web pages, posters, and other documents. Proper selection of charts is important to illustrate different types of data, such as time series data displayed in line graphs or comparisons shown in bar charts.
This document provides guidance on constructing various types of graphs, including bar graphs, line graphs, climate graphs, percentage bar graphs, scatter plots, and pictographs. It explains the key elements that should be included in each graph, such as labeled axes, a title, legend/key, and scale. Examples of properly constructed graphs are also provided for each type to demonstrate how the guidance should be applied.
Statistics is a branch of mathematics that involves collecting, organizing, analyzing, and interpreting data. It helps people make decisions by studying patterns in data. Common statistical tools include frequency tables, pictograms, bar charts, and line graphs which can represent data in visual forms. These tools organize data systematically and allow people to easily understand patterns and relationships.
The document provides instructions for creating bar and line graphs, including how to label the axes, choose an appropriate scale and interval, and add a title. It explains that the dependent variable goes on the y-axis and independent variable on the x-axis. Bar graphs are used to compare categorical data, while line graphs show relationships between variables and trends over time. Examples of properly formatted bar and line graphs are also included.
The document describes different types of charts that can be used to visualize data, including column charts, bar charts, line charts, pie charts, XY charts, area charts, doughnut charts, surface charts, bubble charts, stock charts, and cylinder, cone or pyramid charts. It provides examples of subtypes for some chart types and explains what each chart shows or compares.
This document provides an overview of statistics and data presentation methods. It discusses descriptive and inferential statistics, parametric and non-parametric data, and scales of measurement. Common data presentation methods are described, including line graphs, bar graphs, pie charts, and their variations. Line graphs show trends over time, bar graphs visually compare quantities, and pie charts express percentages. Statistics helps analyze large datasets, compare phenomena, summarize information, facilitate planning, and allocate resources.
This document provides an overview of statistics and data presentation methods. It discusses:
- Descriptive and inferential statistics for collecting, organizing and analyzing data.
- Parametric and non-parametric data types that can be measured on nominal, ordinal, interval or ratio scales.
- Variables that may change value under given conditions, including independent and dependent variables.
- Methods for presenting data visually, including line graphs, bar graphs, and how to construct and interpret simple, group, compound and divergent versions of each type.
This document is the first chapter of a book on describing data with graphs. It defines key terms like variables, experimental units, and populations. It also distinguishes between categorical and quantitative variables. The chapter then explains different types of graphs to visualize categorical and quantitative data, such as bar charts, pie charts, line charts, dot plots, and stem-and-leaf plots. It concludes by defining concepts like symmetry, skewness, modality, and how to interpret the shapes of distributions.
This document discusses different types of charts and graphs that can be used to visually represent data. It provides examples of pie charts, bar charts, column charts, line charts, area charts, and scatter plots. Reasons for creating charts include making trends easily recognizable, allowing quick perception of information, and aiding data interpretation. Charts can be incorporated into business reports, web pages, posters, and other documents. Proper selection of charts is important to illustrate different types of data, such as time series data displayed in line graphs or comparisons shown in bar charts.
This document provides guidance on constructing various types of graphs, including bar graphs, line graphs, climate graphs, percentage bar graphs, scatter plots, and pictographs. It explains the key elements that should be included in each graph, such as labeled axes, a title, legend/key, and scale. Examples of properly constructed graphs are also provided for each type to demonstrate how the guidance should be applied.
Statistics is a branch of mathematics that involves collecting, organizing, analyzing, and interpreting data. It helps people make decisions by studying patterns in data. Common statistical tools include frequency tables, pictograms, bar charts, and line graphs which can represent data in visual forms. These tools organize data systematically and allow people to easily understand patterns and relationships.
The document provides instructions for creating bar and line graphs, including how to label the axes, choose an appropriate scale and interval, and add a title. It explains that the dependent variable goes on the y-axis and independent variable on the x-axis. Bar graphs are used to compare categorical data, while line graphs show relationships between variables and trends over time. Examples of properly formatted bar and line graphs are also included.
The document describes different types of charts that can be used to visualize data, including column charts, bar charts, line charts, pie charts, XY charts, area charts, doughnut charts, surface charts, bubble charts, stock charts, and cylinder, cone or pyramid charts. It provides examples of subtypes for some chart types and explains what each chart shows or compares.
This document discusses different types of bar diagrams used to present categorical data. It describes bar diagrams as using horizontal or vertical bars of varying lengths to represent data values that fall into different categories. The document outlines several types of bar diagrams including simple bar diagrams, subdivided or component bar diagrams, percentage bar diagrams, multiple bar diagrams, and deviation bar diagrams. It provides examples and explanations of when each type would be used to best present specific sets of categorical data.
Displaying data using charts and graphsCharles Flynt
Bar charts, line graphs, pie charts, scatter plots, and histograms are commonly used types of charts. Each type of chart has distinct characteristics that make it suitable for visualizing certain types of data relationships. Bar charts are useful for comparing discrete categories, line graphs show trends over time, pie charts show proportions, scatter plots reveal correlations between two variables, and histograms display frequency distributions. Proper chart selection and design ensure data is presented clearly and accurately.
This document discusses different ways to represent numerical data using tables, graphs, and charts. It provides examples of proper labeling and formatting for tables showing quantitative data as well as different types of graphs like line graphs, scatter plots, bar charts, and pie charts that are used to visualize trends, relationships, and relative magnitudes. Key considerations for graphs include labeling axes, including units, adding titles and numbers, and using trendlines instead of connecting data points directly.
This document discusses different types of graphs used to present statistical data. It provides examples and guidelines for bar graphs, pie charts, histograms, line graphs, and pictographs. Bar graphs can show categorical data and frequencies. Pie charts represent qualitative data through wedge-shaped slices. Histograms use bars to depict continuous data grouped into ranges or classes. Line graphs illustrate relationships that change over time. Pictographs use images to demonstrate quantities. Being able to interpret and construct these various graphs is important for analyzing real-world data.
This document provides instruction on different types of graphs, including bar graphs, histograms, line graphs, pie charts, area graphs, and scatter plots. It discusses the key components of setting up a graph, including the title, axes, scale, intervals, and labels. Examples are given of experiments with identified dependent and independent variables and how they would be graphed. The document concludes with sample problems asking students to identify the appropriate graph, variables, and title and draw the graph to display the given data.
Intro to Graphing Data Powerpoint-7th and 8th GradeBaily OrBust
This document provides instruction on different types of graphs (bar graphs, line graphs, scatter plots) and how to analyze correlations in data represented in graphs. It discusses key features of graphs like titles, labeled axes starting at zero, and using 75% of the axes. Students are prompted to identify independent and dependent variables, observe characteristics of sample scatter plots, and evaluate if a sample graph includes all necessary components. The goal is for students to understand how to choose the best graph type to represent their data and interpret correlations.
Curious about the different types of chart? This presentation demonstrates the variety of charts and their purpose. All these charts have been created using Chartblocks online chart building tool.
The document discusses various techniques for graphically presenting data, including bar charts, pie charts, line graphs, histograms, frequency polygons, ogives, stem-and-leaf displays, box-and-whisker plots, and scatter diagrams. Specific types of graphs are recommended for qualitative versus quantitative univariate and bivariate data. Examples are provided of constructing simple bar charts, pie charts, component bar charts, multiple bar charts, histograms, frequency polygons, ogives, line graphs, stem-and-leaf displays, and box-and-whisker plots using sample data.
Presentation of Data - How to Construct Graphssheisirenebkm
This document provides information and instructions on constructing different types of graphs: bar graphs, line graphs, and circle/pie graphs. It includes examples of each graph type using sample data. Steps are outlined for properly constructing each graph, including labeling axes, determining scale intervals, plotting points, and connecting data. The document emphasizes choosing the right graph based on whether the data involves categories, parts of a whole, or trends over time. Conceptual check questions test understanding of which graph type is best suited for different data sets.
This document provides instructions for completing the BIS 155 Final Exam in Microsoft Excel. It outlines 10 sections to complete, including formatting charts and tables, using formulas and functions, sorting data, creating pivot tables and charts, financial analysis, consolidating data from multiple worksheets, and conducting an analysis to provide a recommendation. The exam is open book and allows referencing notes, textbooks, and online resources, but no outside help. It must be completed individually within 4 hours. Sections are worth between 30-40 points each and cover a range of Excel skills and business concepts.
This document discusses different types of graphs used to represent frequency distributions: bar graphs, histograms, frequency polygons, pie charts, and OGIVE charts. It provides instructions on how to construct each graph type, including labeling axes, ensuring proportionality, and adding titles and legends. Examples of each graph type are shown using sample data on family sizes. The document concludes that bar graphs, histograms, frequency polygons and pie charts are common ways to show frequency distributions, while OGIVE charts illustrate less than and greater than cumulative frequencies.
done by : ( ABCD'S &G )
alaa ba-jafar
abrar alshahranii
sahab filfilan
nada alharbi
shahd rajab
Ghadeer suwaimil
I hope that you enjoy and you benefit❤
The document provides instructions for customizing charts created from data in a Word spreadsheet. It describes how to change chart styles, colors, and formatting of data series; modify row and column headings; and experiment with different chart types, labels, legends, and views. The goal is to familiarize the user with various options for visualizing and presenting spreadsheet data visually through charts in Word.
The document provides instructions for creating and modifying column and pie charts in Excel. It explains how to use the Chart Wizard to generate the charts from sample data, and how to perform actions like adjusting the chart size, changing the chart type and scale, modifying data series patterns, and formatting labels and legends. The goal is to demonstrate chart creation and customization skills to students in a Microsoft class.
Part b (40 points)monthly time series forecasts starting jan. 202JUST36
This document provides instructions for a time series forecasting assignment. It includes a table of monthly demand data from 2016-2020 and asks the student to:
1) Plot the time series data in two graphs and analyze trends, seasonality, and random variation.
2) Select a forecasting model and calculate a performance measure.
3) Use the model to forecast demand for 2021 and include a graph comparing forecasts to actuals.
4) Describe the selected forecasting approach and how it anticipates the analyzed behaviors, referring to graphs and performance measures.
5) Type answers to questions 1 and 4 and submit required files.
This document discusses various types of charts and graphs, including organizational charts, classification charts, timelines, flowcharts, and tabular charts. It provides examples of each type of chart. The document also discusses the purpose of charts, how to design effective charts, and software that can be used to create charts and graphs, such as OpenOffice Calc and Microsoft Excel.
This document contains a test with 20 multiple choice questions about interpreting data from tables, graphs, and charts. The test questions cover topics such as analyzing expenditures and production amounts for different companies over time, comparing income and expenditures for a company in different years based on a graph, and calculating costs and prices based on percentages given in a pie chart.
The document discusses configuring a cluster of ASAs, which allows grouping multiple ASAs together as a single logical device to achieve increased throughput and redundancy. Key points:
- A cluster requires a high-speed isolated backplane network called the cluster control link for communication between members.
- One ASA is elected as the master which replicates configurations to slaves. Interfaces can be configured as either spanned EtherChannels (recommended) or individual interfaces.
- Spanned EtherChannels group interfaces across all members into a single channel, providing load balancing and high availability. Individual interfaces require external load balancing configuration.
The document summarizes the results of a questionnaire given to 100 people (50 male and 50 female) to help determine the demographic and preferences for a short horror film. The questions covered topics like age, favorite genre, movie watching frequency, preferred victim, expectations, attractions, dislikes, and preferred subgenre. Key results showed that horror was the most popular genre, most watch movies weekly, young male victims are preferred, an unseen villain and compelling storyline are liked, and mystery is the preferred subgenre.
Dokumen tersebut merupakan silabus untuk persiapan pelajar Indonesia mengikuti International Geography Olympiad (IGEO). Silabus tersebut mencakup 12 topik utama geografi yang akan diujikan dalam IGEO beserta ketentuan tes tertulis, praktek lapangan, dan multimedia. Topik-topik tersebut meliputi iklim, kebencanaan, sumber daya alam, lingkungan, geomorfologi, dan lainnya.
This document discusses different types of bar diagrams used to present categorical data. It describes bar diagrams as using horizontal or vertical bars of varying lengths to represent data values that fall into different categories. The document outlines several types of bar diagrams including simple bar diagrams, subdivided or component bar diagrams, percentage bar diagrams, multiple bar diagrams, and deviation bar diagrams. It provides examples and explanations of when each type would be used to best present specific sets of categorical data.
Displaying data using charts and graphsCharles Flynt
Bar charts, line graphs, pie charts, scatter plots, and histograms are commonly used types of charts. Each type of chart has distinct characteristics that make it suitable for visualizing certain types of data relationships. Bar charts are useful for comparing discrete categories, line graphs show trends over time, pie charts show proportions, scatter plots reveal correlations between two variables, and histograms display frequency distributions. Proper chart selection and design ensure data is presented clearly and accurately.
This document discusses different ways to represent numerical data using tables, graphs, and charts. It provides examples of proper labeling and formatting for tables showing quantitative data as well as different types of graphs like line graphs, scatter plots, bar charts, and pie charts that are used to visualize trends, relationships, and relative magnitudes. Key considerations for graphs include labeling axes, including units, adding titles and numbers, and using trendlines instead of connecting data points directly.
This document discusses different types of graphs used to present statistical data. It provides examples and guidelines for bar graphs, pie charts, histograms, line graphs, and pictographs. Bar graphs can show categorical data and frequencies. Pie charts represent qualitative data through wedge-shaped slices. Histograms use bars to depict continuous data grouped into ranges or classes. Line graphs illustrate relationships that change over time. Pictographs use images to demonstrate quantities. Being able to interpret and construct these various graphs is important for analyzing real-world data.
This document provides instruction on different types of graphs, including bar graphs, histograms, line graphs, pie charts, area graphs, and scatter plots. It discusses the key components of setting up a graph, including the title, axes, scale, intervals, and labels. Examples are given of experiments with identified dependent and independent variables and how they would be graphed. The document concludes with sample problems asking students to identify the appropriate graph, variables, and title and draw the graph to display the given data.
Intro to Graphing Data Powerpoint-7th and 8th GradeBaily OrBust
This document provides instruction on different types of graphs (bar graphs, line graphs, scatter plots) and how to analyze correlations in data represented in graphs. It discusses key features of graphs like titles, labeled axes starting at zero, and using 75% of the axes. Students are prompted to identify independent and dependent variables, observe characteristics of sample scatter plots, and evaluate if a sample graph includes all necessary components. The goal is for students to understand how to choose the best graph type to represent their data and interpret correlations.
Curious about the different types of chart? This presentation demonstrates the variety of charts and their purpose. All these charts have been created using Chartblocks online chart building tool.
The document discusses various techniques for graphically presenting data, including bar charts, pie charts, line graphs, histograms, frequency polygons, ogives, stem-and-leaf displays, box-and-whisker plots, and scatter diagrams. Specific types of graphs are recommended for qualitative versus quantitative univariate and bivariate data. Examples are provided of constructing simple bar charts, pie charts, component bar charts, multiple bar charts, histograms, frequency polygons, ogives, line graphs, stem-and-leaf displays, and box-and-whisker plots using sample data.
Presentation of Data - How to Construct Graphssheisirenebkm
This document provides information and instructions on constructing different types of graphs: bar graphs, line graphs, and circle/pie graphs. It includes examples of each graph type using sample data. Steps are outlined for properly constructing each graph, including labeling axes, determining scale intervals, plotting points, and connecting data. The document emphasizes choosing the right graph based on whether the data involves categories, parts of a whole, or trends over time. Conceptual check questions test understanding of which graph type is best suited for different data sets.
This document provides instructions for completing the BIS 155 Final Exam in Microsoft Excel. It outlines 10 sections to complete, including formatting charts and tables, using formulas and functions, sorting data, creating pivot tables and charts, financial analysis, consolidating data from multiple worksheets, and conducting an analysis to provide a recommendation. The exam is open book and allows referencing notes, textbooks, and online resources, but no outside help. It must be completed individually within 4 hours. Sections are worth between 30-40 points each and cover a range of Excel skills and business concepts.
This document discusses different types of graphs used to represent frequency distributions: bar graphs, histograms, frequency polygons, pie charts, and OGIVE charts. It provides instructions on how to construct each graph type, including labeling axes, ensuring proportionality, and adding titles and legends. Examples of each graph type are shown using sample data on family sizes. The document concludes that bar graphs, histograms, frequency polygons and pie charts are common ways to show frequency distributions, while OGIVE charts illustrate less than and greater than cumulative frequencies.
done by : ( ABCD'S &G )
alaa ba-jafar
abrar alshahranii
sahab filfilan
nada alharbi
shahd rajab
Ghadeer suwaimil
I hope that you enjoy and you benefit❤
The document provides instructions for customizing charts created from data in a Word spreadsheet. It describes how to change chart styles, colors, and formatting of data series; modify row and column headings; and experiment with different chart types, labels, legends, and views. The goal is to familiarize the user with various options for visualizing and presenting spreadsheet data visually through charts in Word.
The document provides instructions for creating and modifying column and pie charts in Excel. It explains how to use the Chart Wizard to generate the charts from sample data, and how to perform actions like adjusting the chart size, changing the chart type and scale, modifying data series patterns, and formatting labels and legends. The goal is to demonstrate chart creation and customization skills to students in a Microsoft class.
Part b (40 points)monthly time series forecasts starting jan. 202JUST36
This document provides instructions for a time series forecasting assignment. It includes a table of monthly demand data from 2016-2020 and asks the student to:
1) Plot the time series data in two graphs and analyze trends, seasonality, and random variation.
2) Select a forecasting model and calculate a performance measure.
3) Use the model to forecast demand for 2021 and include a graph comparing forecasts to actuals.
4) Describe the selected forecasting approach and how it anticipates the analyzed behaviors, referring to graphs and performance measures.
5) Type answers to questions 1 and 4 and submit required files.
This document discusses various types of charts and graphs, including organizational charts, classification charts, timelines, flowcharts, and tabular charts. It provides examples of each type of chart. The document also discusses the purpose of charts, how to design effective charts, and software that can be used to create charts and graphs, such as OpenOffice Calc and Microsoft Excel.
This document contains a test with 20 multiple choice questions about interpreting data from tables, graphs, and charts. The test questions cover topics such as analyzing expenditures and production amounts for different companies over time, comparing income and expenditures for a company in different years based on a graph, and calculating costs and prices based on percentages given in a pie chart.
The document discusses configuring a cluster of ASAs, which allows grouping multiple ASAs together as a single logical device to achieve increased throughput and redundancy. Key points:
- A cluster requires a high-speed isolated backplane network called the cluster control link for communication between members.
- One ASA is elected as the master which replicates configurations to slaves. Interfaces can be configured as either spanned EtherChannels (recommended) or individual interfaces.
- Spanned EtherChannels group interfaces across all members into a single channel, providing load balancing and high availability. Individual interfaces require external load balancing configuration.
The document summarizes the results of a questionnaire given to 100 people (50 male and 50 female) to help determine the demographic and preferences for a short horror film. The questions covered topics like age, favorite genre, movie watching frequency, preferred victim, expectations, attractions, dislikes, and preferred subgenre. Key results showed that horror was the most popular genre, most watch movies weekly, young male victims are preferred, an unseen villain and compelling storyline are liked, and mystery is the preferred subgenre.
Dokumen tersebut merupakan silabus untuk persiapan pelajar Indonesia mengikuti International Geography Olympiad (IGEO). Silabus tersebut mencakup 12 topik utama geografi yang akan diujikan dalam IGEO beserta ketentuan tes tertulis, praktek lapangan, dan multimedia. Topik-topik tersebut meliputi iklim, kebencanaan, sumber daya alam, lingkungan, geomorfologi, dan lainnya.
This document provides an overview of resources for revamping the math classroom, including five TED talks from Dan Meyer, Alex Kajitani, Arthur Benjamin, and Salman Khan about improving mathematics education, as well as an article on moving math education forward. The document directs the reader to find more information on the creator's wiki.
A security audit discovered several vulnerabilities in Ubiquiti Unifi Controller version 3.1.4, including:
1) The use of java.util.Random to generate secret tokens could allow an attacker to predict tokens like password reset tokens and compromise admin accounts with a brute force attack.
2) The application is vulnerable to cross-site request forgery attacks which could allow an attacker to modify system settings or force password changes.
3) Changing passwords does not require supplying the old password, allowing passwords to be easily compromised through session hijacking or CSRF attacks.
The document outlines steps for planning a trip to Hawaii for a husband's birthday in January, including checking documents, analyzing hotel and flight options and budgets, buying tickets and booking a hotel, packing, and notifying others. It also provides information on activities like hiking, helicopter tours, boat tours, waterfalls, and kayaking that could be enjoyed in Hawaii between December and May when humpback whales, seals, and good snorkeling can be seen.
High availability is not a luxury webcastGina Tragos
Arcserve provides a high availability and disaster recovery solution for businesses. The solution uses continuous data protection, replication, and automated failover to provide recovery point objectives (RPOs) of less than a minute and recovery time objectives (RTOs) of minutes for critical systems. It protects applications like Exchange, SQL, and file servers. The solution provides centralized management, reporting, encryption, and integration with Amazon Web Services for disaster recovery testing and failover to the cloud. Arcserve aims to provide comprehensive data protection simplicity through a unified backup, high availability, and archiving approach.
This document discusses the benefits of fixed-dose combination hypertension medications. It notes that combination therapy is recommended when monotherapy does not control blood pressure or for high-risk patients. Fixed-dose combinations have been shown to have greater efficacy, fewer side effects, and better compliance than individual drugs. The combination of an ACE inhibitor and diuretic, such as perindopril and indapamide, is particularly beneficial as it reduces left ventricular mass index and urinary albumin excretion more than an ACE inhibitor alone. The document also notes several clinical trials that demonstrate reduced cardiovascular risks with fixed-dose combinations compared to monotherapy or placebo.
This document provides a quick reference guide for the QuickScan Lite QW2100 general purpose corded handheld linear imager bar code reader. It contains information on the product's specifications, regulatory notices, and a software license agreement between Datalogic and the end user. The software license grants the user a non-exclusive, revocable license to use the embedded software for internal business purposes only. It also notes the proprietary nature of the software and documentation and restrictions on copying, modifying, reverse engineering, and transferring the product or software.
Instructions 1. Using annual data on GDP from the U.S. Cens.docxdirkrplav
Instructions:
1. Using annual data on GDP from the U.S. Census Bureau complete the following:
a. Use a simple trend projection and discuss the meaning of the estimated coefficient for the trend variable.
b. Assume that you only have data up through 1999 and conduct a 3-period moving average for GDP through 2007. Find the in-sample and out of sample MAE, MAPE, and RMSE using the forecast errors.
c. Conduct a simple exponential smoothing model using α = 0.3 and α = 0.7 using the GDP data set. Again assume that we only have data through 1999.
annual data on GDP from the U.S. Census Bureau
DATE
GDP
1980-01-01
2789.5
1981-01-01
3128.4
1982-01-01
3255.0
1983-01-01
3536.7
1984-01-01
3933.2
1985-01-01
4220.3
1986-01-01
4462.8
1987-01-01
4739.5
1988-01-01
5103.8
1989-01-01
5484.4
1990-01-01
5803.1
1991-01-01
5995.9
1992-01-01
6337.7
1993-01-01
6657.4
1994-01-01
7072.2
1995-01-01
7397.7
1996-01-01
7816.9
1997-01-01
8304.3
1998-01-01
8747.0
1999-01-01
9268.4
2000-01-01
9817.0
2001-01-01
10128.0
2002-01-01
10469.6
2003-01-01
10960.8
2004-01-01
11685.9
2005-01-01
12433.9
2006-01-01
13194.7
2007-01-01
13843.8
2. Complete the Forecasting for Tracway for mowers using the Tracway data. For this exercise, forecast industry sales as well as market share. Compare the moving average (3 month) method against Winter's method. Since we are forecasting mowers, think about which model you would expect to be more accurate.
After working through the problems, go to Lesson 9: Individual Exercises 9 and answer the associated multiple choice questions.
Forecasting for Tracway
An important input to planning manufacturing capacity is a good forecast of sales. In reviewing the Tracway database, Henry Hudson is interested in forecasting sales for mowers and tractors in each marketing region. Although Henry has obtained expert opinions on sales forecasting using the Delphi process, he would like to generate time series forecasts for the next year for each product by region. Henry plans to then compare and incorporate the judgmental forecasts from the Delphi process to the quantitative forecasts developed via the Delphi process.
Tracway data.
See attached worksheet labeled (Tracway data)
Questions:
Using annual data on GDP from the U.S. Census Bureau answer questions 1-6.
1.
The trend analysis reveals
A) no evidence of any clear trend either upward or downward.
B) an upward trend.
C) an downward trend.
D) a positive but insignificant coefficient for the trend variable.
2.
According to the F-statistic we cannot reject the null hypothesis that R2 = 0 when using trend analysis.
A) True
B) False
3.
When conducting a 3-period moving average for GDP through 2007 the out of sample Mean Absolute Error (MAE) is found to be approximately
A) $682
B) $696
C) $1,043
D) none of the above
4.
The moving average analysis shows forecasts that consistently underestimate actual GDP.
A) True
B) False
5.
When using an exponential smoothing model .
This document provides information about data interpretation and different ways to present data. It discusses numerical data tables including time series tables, spatial tables, frequency distribution tables, and cumulative frequency tables. Examples are given to show how to calculate capacity utilization, sales growth percentages, and solve other problems using the data in tables. Cartesian graphs are also introduced as a way to show the variation of a quantity with respect to two parameters on the X and Y axes.
This document provides information about data interpretation and different ways of presenting data. It discusses numerical data tables like time series tables, spatial tables, frequency distribution tables, and cumulative frequency tables. It then provides examples of data interpretation questions involving calculating percentages from tables showing production, sales, and capacity for three automobile companies from 1988-1998. Another example involves interpreting a table showing the number of members in different age and gender categories across six societies. Finally, it briefly discusses Cartesian graphs and types like single dependent variable graphs and graphs with more than one dependent variable.
ASSESSMENT CASE PAPER ANALYSIS / TUTORIALOUTLET DOT COMjorge0048
A report broken down into the following sections:
Summary results and recommendations—up front, concise, and to the point.
Answers to the 6 questions asked—devote a paragraph to each, with individual headings
North Raleigh Rotarian Katie Turnbull gave a great presentation at our Friday morning extension meeting about data visualization. Katie is a consultant at research and advisory firm, Gartner, Inc.
Data 0001-fdbffe8330ad52c00130b749e01e4beaRahul Shah
The document provides an overview of an online preparation program called Minglebox e-CAT Prep for the CAT exam. It covers the complete CAT syllabus with lessons, tests, and sample questions created by IIT/IIM experts. It includes sections on quantitative ability, verbal ability, and data interpretation with over 1000 practice questions and tests. The preparation is aimed to help with last minute preparation for the CAT exam. The program is available for free online.
334-335.pdf336-337.pdf338-339.pdf340-341.pdf
Principles of Macroeconomics Unit 5 Assignment
Chapter 9 Questions 1, 4, and 9
1) (Consumption) Use the following data to answer the questions below:
Consumption
Real Disposable Expenditures Savings
Income (billions) (billions) (billions)
$100 $150 $__________
$200 $200 $__________
$300 $250 $__________
$400 $300 $__________
a. Graph the consumption function, with consumption spending on the vertical axis and disposable income on the horizontal axis.
b. If the consumption function is a straight line, what is the slope?
c. Fill in the saving column at each level of income. If the savings function is a straight line, what is its slope?
4) Consumption Function How would an increase in each of the following affect the consumptions function?
a. Net taxes
b. The interest rate
c. Consumer optimism, or confidence
d. The price level
e. Consumers’ net worth
f. Disposable income
9) For each of the following values for the MPC, determine the size of the simple spending multiplier and total change in real GDP demanded following a $10 billion decrease in spending:
MPC = 0.9
MPC = 0.75
MPC = 0.6
Chapter 10: Questions 3, 5, and 6
3. (Expansionary and Recessionary Gaps) Answer questions a through f on the basis of the following graph:
a. If the actual price level exceeds the expected price level reflected in long-term contracts real GDP equals and the actual price levels equals in the short run.
b. The situation described in part (a) results in (n) gap equal
to ____________
c. If the actual price level is lower than the expected price level reflected in long-term contracts, real GDP equals and the actual price level equals in the short run.
d. The situation described in part (c) results in a (n) gap equal to __________
e. If the actual price level equals the expected price level reflected in long-term contracts, real GDP equals and the actual price level equals __________ in the short run.
f. The situation described in part (e) results in a (n) to ________________
5. (Changes in Aggregate Supply) List three factors that can change the economy’s potential output. What is the impact of shits of the aggregate demand curve on potential output? Illustrate your answer with a diagram.
6. (Supply Shocks) Give an example of an adverse supply shock and illustrate graphically. Now do the same for a beneficial supply shock.
References
McEachern, W. A. (2015). ECON macroeconomics (4th ed.). Stamford, CT: Cengage Learning
Solving the Issue of Cost Calculation in BPM Workbench
BPM Workbench does not automatically show the cost of the process. The following example shows how to solve
this issue.
1- Double click on each task
2- Click on “Resource Requirements”
3- Go to “Additional Resources”
- Click on the arrow (Step 1 in the figure) to show the list of the available roles.
- From the dropdown list, select the responsible person for this t.
Statistics can be used to describe patterns in data but can also be misused or misinterpreted. There are different types of statistics including measures of central tendency, measures of spread, and probability. Graphs are useful for visualizing data but can be misleading without proper context or labels. Advanced statistical software packages and online resources make powerful data visualization and sharing of insights possible. Proper statistical reasoning requires considering multiple perspectives and being transparent about any limitations in the data or analysis.
Mathematical Statistics with Applications in R 2nd Edition Ramachandran Solut...Alvaradoree
Full download : http://alibabadownload.com/product/mathematical-statistics-with-applications-in-r-2nd-edition-ramachandran-solutions-manual/ Mathematical Statistics with Applications in R 2nd Edition Ramachandran Solutions Manual
This document provides an overview of a training module on problem solving techniques. It includes definitions of AQC, SQC, and SPC and their differences. It discusses the importance of data and different types of data. Basic statistical concepts like average and standard deviation are introduced. Various tools for problem solving are described such as flow diagrams, brainstorming, graphs, and stratification. Flow diagrams can be used to depict processes and different types include macro, micro, and matrix diagrams. Brainstorming is a technique to generate ideas in a team setting. Different types of graphs like line, bar, pie, belt, compound, and strata graphs are used to represent data visually. Stratification involves separating data into categories to identify problem
The document discusses different types of graphs (bar graphs, line graphs, circle graphs, double bar graphs, and double line graphs) that can be used to present data visually. It provides examples of each graph type using sample data and questions to help readers learn how to interpret the graphs. Key points covered include choosing the appropriate graph for different data, plotting data on graphs, interpreting graphs to answer questions about the data, and calculating percentages from circle graphs.
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfNirmal Dwivedi
This PPT is about the Unit 7 of UGC NET Paper 1 Data Interpretation. Data Interpretation a topic where you need to look at a certain data and answer a certain questions based on that data. So if you are able to solve all the 5 questions correctly automatically your 10 marks are fixed here itself.
This document provides guidance on how to write Task 1 of the IELTS Academic Writing test. It discusses the structure and language required for a good report, including how to write an introduction, overall view, body paragraphs, and conclusion. It provides vocabulary and examples for describing trends over time using different tenses. It also offers tips for selecting details, grouping information, and using the correct prepositions to describe numbers, percentages, and changes between values.
Here are the sentences with the correct prepositions:
1. Between 1990 and 2000, there was a drop of 15%.
2. GM car sales peaked at 2,000 in 1999.
3. The chart shows a decline of 35% in the bird population.
4. There has been a significant increase in the number of people aged over eighty.
5. There have been dramatic cuts in the level of spending on the elderly, reaching a low of 11%.
6. Profits rose from a low of 4.5 million to a high of 8 million in 2008.
7. Canada and Australia’s wheat exports fluctuated between 5 million and 6 million respectively.
8.
This document provides guidance on how to write Task 1 of the IELTS Academic Writing test. It discusses the structure and language required for a good report, including how to write an introduction, overall view, body paragraphs, and descriptions of trends, numbers, and visual elements. Specific vocabulary and grammar such as verb tenses and prepositions are exemplified. Checklists and sample answers are also included to help students practice and prepare for the test.
This document is a lab file submitted by Sukhchain Aggarwal, a student of B.com, to their professor Harjeet Kaur. It contains an acknowledgement thanking the professors for their guidance. The document then outlines how to create different types of charts in Microsoft Excel, including line charts, bar charts, and pie charts. It provides examples of each chart type using sample data on test scores and the numbers of students in different years. Tables are included showing average, maximum, and minimum values calculated from the data using Excel formulas. Sources consulted for the file are listed in a bibliography.
Exploratory data analysis is an approach consisting of tools that help you understand your data easily. These tools can be used with minimal knowledge of statistics.
EDA tools are presented here by The School of Continuous Improvement with the main purpose of anyone wanting to use these tools to be able to use them.
This document contains instructions and examples for 7 problems involving forecasting and smoothing methods. It includes instructions to copy data from external sources into templates to solve forecasting problems. The problems cover a variety of forecasting techniques including naive, moving averages, exponential smoothing, and trend analysis. Seasonal adjustment is demonstrated through examples calculating seasonal relatives for sales, customers, grain shipments and other time-series data. Forecasts are generated and compared to historical data for evaluation.
BUS102 Group Assignment T217 BUS102 Microeconomics T217, G.docxRAHUL126667
BUS102 Group Assignment T217
BUS102 Microeconomics T217, Group Assignment due 09 September 2017 Page 1
BUS102 Introduction to Microeconomics
Questions, Notes & Guideline for Group Assignment
Due 3.00pm, Saturday 09 September 2017
Three Problem-Solving Questions that require written answers
1. General information
1.1 This group assignment is worth 20 per cent of total assessment and is to be submitted by
3.00pm, Saturday 09 September 2017.
There are 3 questions and answer all 3 questions, worth a total of 60 marks all together.
Then the marks will be converted to a total of 20 marks scale to be uploaded in Moodle
for 20 per cent of your total course assessment.
A hard copy of the assignment must be submitted to KOI Librarian in Kent street campus
by 3.00pm, Saturday 09 September 2017. You must keep the receipt after the submission
for your own record. You are also required to upload an electronic copy of the
assignment in Moodle Turnitin by 3:00pm Saturday 09 September 2017.
Late submission will attract loss of 4 marks out of 20 marks (20 per cent), and the
assignment submitted to the library after 5:00pm Monday 11 Sept 2017 will not be
accepted.
1.2 This assignment is a group assignment and each group must contain only two (2) people.
1.3 Names and ID numbers of students in the group must be clearly printed on the Assignment
Cover Sheet. A member, who has not contributed to the discussion and assignment, must be
marked as “Not contributed” in a bracket following the student’s name and ID.
1.4 You must follow the appropriate format explained below. Not following the appropriate
format will cause a loss of some marks.
All written answers must be clearly typed and printed. Hand-written answers will NOT be
accepted.
All assignment questions and sub-questions must be typed in order at the heading.
Answer each question on a different page. For example, if Question 1 (a) (b) (c) and (d)
are answered on pages 1-2, then start Question 2 on page 3, etc.
You must analyse, explain and show how and why you reached your answers. Providing
just answers without explanation will not receive full marks.
You must also draw and include appropriate and relevant graphs and tables together in
your explanation. Draw them using Microsoft Power Point/Word/Excel, NOT hand-drawn.
BUS102 Group Assignment T217
BUS102 Microeconomics T217, Group Assignment due 09 September 2017 Page 2
1.5 Copying the assignment contents from other group assignment is a serious violation of copy
right. It will be penalized and will attract a VERY heavy loss of marks – “Fail”.
Please remember that it is not difficult to identify the contents that are copied from other
group(s). Write the answers in your own English words.
Please DO NOT SHOW work students in other groups. If you did, both the person who
showed the assignment and the one who copied the assignment will be awarded zero
out of 20 mar ...
Similar to Data interpretation gr8 ambitionz (1) (20)
BUS102 Group Assignment T217 BUS102 Microeconomics T217, G.docx
Data interpretation gr8 ambitionz (1)
1. Pantech ProEd Pvt Ltd-Trichy
QUANTITATIVE APTITUDE Data
Interpretation
Data Interpretation is one of the easy putting them to use directly with com-sections
of one day competitive Examinations. mon sense.
It is an extension of Mathematical skill and
4 . Breakdown lengthy questions
intocomsmaller
accuracy. Data interpretation is nothing but .
drawing conclusions and inferences from a
parts and eliminate impossible choices.
5
. Use only the information given and your
comprehensive data presented numerically in knowledge of everyday facts, such as
the
tabular form by means of an illustration, viz.
number of hours in a day, to answer
Graphs, Pie Chart etc. Thus the act of
the questions based
on
tables
an
d
organising and interpreting data to get mean-graphs.
ingful information is Data Interpretation. 6
.
Answer the questions asked and not
what
A good grasp of basic geometric as well
you think the questions should be.
as arithmetic formulae is must to score high 7
.
Be careful while dealing with
units.
in this section. Familiarity with graphical rep-
8
. To make reading easier and to avoid er-resentation
of data like Venn diagrams,
graphs,
pie charts, histogram, polygon etc. should be rors observe graphs keeping them
thought. Once the data are grasped well,
ques- straight.
9
Be prepared to apply basic
tions based on tables and graphs take little
.
mathematical
ti In some competitive examinations data rules, principles and formulae.
Pantech ProEd Pvt Ltd - Trichy
2. m e.
10
.
Since one of the major benefits of
graphs
are presented in more than one table or
graphs. and tables is that they present data in a
The aim is to test not only quantitative skill form that enables you to readily make
but also relative, comparative and analytical comparisons, use this visual attribute of
and tables to help you answer
ability. The crux of the matter is to find a rela-graphs
the
tionship between the two tables or graphs
questions. Where possible, use your
eyes
before attempting the questions.
instead of your computational
skills.
Some Useful
tips: Tables
1 . Data Interpretation questions are based Tables are often used in reports, maga-on
information given in tables and
graphs.
zines and newspaper to present a set
of
These questions test your ability to inter- numerical facts. They enable the reader
pret the information presented and to to make comparisons and to draw quick
select the appropriate data for answer- conclusions. It is one of the easiest and
ing a
question. most accurate ways of presenting data.
2 . Get a general picture of the information They require much closer reading than
before reading the question. Read the graphs of charts and hence are difficult
Gr8AmbitionZ
given titles carefully and try to under- and time consuming to interpret.
. One of the main purposes of tables is
stand its nature. to
3 . Avoid lengthy calculations generally, data make complicated information easier to
interpretation questions do not require to
understand. The advantage of
presenting
do extensive calculations and computa- data in a table is that one can see the
tions. Most questions simply require
at a
read-information
glance.
ing the data correctly and carefully and While answering questions based
on
Pantech ProEd Pvt Ltd - Trichy
3. Pantech ProEd Pvt Ltd-Trichy
QUANTITATIVE APTITUDE
tables, carefully read the table title and Solved
Examples
the column headings. The title of the table
I. Directions (Qs. 1-5) study the following
gives you a general idea of the type and table and
answer the questions given
often the purpose of the information pre-below
it.
sented. The column headings tell you the Production of sugar by six major
specific kind of information given in that production
of India in Million
column. Both the table title and the col-units
Tonnes
umn headings are usually very straight PRODUCTION
UNITS
forward
.
Mont
h A B C D
com
E F
Graphs
.
April
3
1
0
1 8
0
1
6
9
1
3
7
1 4 0 1
2 0
There may be four types of graphs.
May
3
1
8
1 7
9
1
7
7
1
6
2
1 4 0 1
2 2
1) Circle Graphs: Circle graphs are used to
June
3
2
0
1 6
0
1
8
8
1
7
3
1 3 5 1
show how various sectors are in the 3 0
whole. Circle graphs are sometimes July
3
2
6
1 6
7
1
8
7
1
8
0
1 4 6 1
3 0
called Pie Charts. Circle graphs usually
Augu
st
3
2
7
1 5
0
1
8
5
1
7
8
1 4 5 1
2 8
give the percent that each sector receives 1
.
In which month the unit B has a
In such representation the total quantity contribu-in
question is distributed over a total tion of approximately 15% in the total sugar
angle of
360°. production?
Aug
While using circle graphs to find ratios a)
ust
b)
Ju
ne
of various sectors, don't find the c) July
d)
Ap
ri
l
amounts each
sector
received and
then 2
.
Which of the following units shows
con-the
ratio of the amounts. Find the ratio tinuous increase in production of
sugar
ov
of the percents, which is much quicker. er
month
Pantech ProEd Pvt Ltd - Trichy
4. Pantech ProEd Pvt Ltd-Trichy
s? 2)
Line Graphs: Line graphs are used to
a) A
b)
B
show how a quantity changes continu-c)
C
d)
ously. If the line goes up, the quantity is D
3
increasing; if the line goes down, the quan-
.
In the case of Unit E, in which of the
fol-tity
is decreasing; if the line is horizon-lowing
pairs of months the production of
sugar
tal, the quantity is not changing.
was
equal?
3) Bar Graphs: Given quantities can be com- a)
April &
June
b)
June & July
pared by the height or length of a bar
c)
July & August
d) April & May
graph. A bar graph can have either ver- 4
. In the month of June,
how many
tical or horizontal bars. You can compare units
different quantities or the same quantity have a share of more than 25% of the total
at different times. In bar graph the data production of sugar?
is discrete. Presentation of data in this
a) one
b)
Thr
ee
form makes evaluation of parameters
c) Two
d) F ou
r
comparatively very easy.
.
Gr8AmbitionZ
4)
You can compare
5
. What was approximate percentage de-
Cumulative Graphs : crease in sugar production of unit B in June
several as
catagories by a graph of the
compared to April?
cumulative type. These are usually bar
or line graphs where the height of the a) 8 %
b)
1 0
%
bar or line is divided up proportionally
c)
1 5
%
d)
1 8
%
among different quantities.
www
QUANTITATIVE APTITUDE
A ns
: 180 160 20
1 . (c) Total production in April = 100 x 100
1
Pantech ProEd Pvt Ltd - Trichy
5. Pantech ProEd Pvt Ltd-Trichy
80
180
= 310+180+169+137+140+120=1056 =
11.11% 10%
15
x1056 158.4
II. Directions (Qs. 6-10): Study the following
graph carefully and answer the questions
15% of 1056 = 100 given
Total Production in June
below
it:
12
00
_______________________________
___ A
= 3 2 0 + 1 6 0 + 1 8 8 + 1 7 3 + 1 3 5 + 1
3 0
.
com
= 11 06
11
50 B
15
11
00
______________________________
____
15% 1106
=
x1106 165.9 RS
10
50 ______________________________
____ 100
I
N 10
00 ______________________________
____
Total production in July
P
RI
CE
9
5
0 ______________________________
= 326+167+187+146+130=1136 ____
15
x1136 170.4
9
0
0 ______________________________
____
8
5
0 ______________________________
15% of 1136 = 100 ____
Total Production in August
8
0
0
______________________________
____
= 327+150+185+178+145+128= 1113
Jan
Feb
Mar
Apr
May June July
Aug
15
MONTH
S
x 1113 166.95 167 6) What was the price difference between
15% of 1113 = 100 commodity A and B in the month of April?
ie, in Month July, the Unit B has a
2 5
contri-a)
0
b)
1
5
0
bution of approximately 15% in the total
sugar c)
1 0
0
d)
9
producti 0
on. 7 . What was the difference in average
price
2 . a) Unit A shows continuous increase in between commodity A and B from April to
production of sugar over August
Pantech ProEd Pvt Ltd - Trichy
6. Pantech ProEd Pvt Ltd-Trichy
months. ?
3 . d) In Unit E, the pair of months that
a)
8 6
b)
7
5
shows equal sugar production is April and
May.
a)
9 5
d)
8
5
4 . a) Total Production in June =
8
.
In which of the following pairs of
months
320+160+188+173+135+130 = 1106 was the price of commodity A same?
25% of
1106=
25
x1106 276.5 units
a)
January - March
b) May-June
c)
April- August
d)
July-August
100 9
. What was the approximate percentage
ie, Unit A shows more than 25% of the
decrease in the price of commodity A from
total production of sugarGr8AmbitionZin the month June.
5 .
6)
In
. i
n
June
=
March to
April?
unit B, the production a)
1 b) 9
c)
1
4 d) 1 2
160 the production in April = 180 units
10 . What was the percentage increase in
Decrease in percentage price of commodity B from January to April?
ww
w
a)
1 5 b) 2 0
d)
1
7 d) 1 0
Pantech ProEd Pvt Ltd - Trichy
7. Pantech ProEd Pvt Ltd-Trichy
QUANTITATIVE APTITUDE
Ans 6 (b).The price of commodity A in April
III
Directions (11-15): Study the
following
graph carefully and answer the questions
given
= 1000
below
it.
The price of commodity B in April
PRODUCTION OF FOODGRAIN OVER
THE
= 1150 YEARS (1000 TONNES)
Difference = 1150 - 1000 = 150
1 3
0 1 2
7) (b). Average price of commodity A from 1 1 0
0
April to
August
.
com 8
1 0
0
0
=
1000 1050 975 900 1000
6 5
5
=
49
25
985
5 19 93
19
94
19
95
19
96
19
97
19
98
Average price of commodity B
from 11
April to ) In the case of how many years was the
August production below the average production of
1150 1100 1100 1000 950
the given years?
=
a)
on
e
b)
two
5 c)
thr
ee
d)
53 four
00
= 1060
12
)
What was the percentage drop in
produc-
5
tion from 1996 to 1997?
Difference = 1060 - 985 = 75 a)
1 0
0
b)
5 0
8)(c) Price of commodity A in April = 1000 c)
6 5
d)
4 0
Price of commodity A in August = 1000
13
)
In which year was the production
50%of
Therefore, in April - August the price of
the total production in 1993 and 1998
together
Pantech ProEd Pvt Ltd - Trichy
8. Pantech ProEd Pvt Ltd-Trichy
commodity A was
same.
a)
19
94
b)
19 95
9)(d) Price of commodity A in March = 1125
c)
19
96
d)
19 97
Price of commodity A in April = 1000
14
. If the production in 1999 will be above
Decreas
e
the average
production
of the
given
year
s,
which of the following could be the minimum
1125 1000
12
5 production for 1999?
= 100 x100 a)
105000
b)
12000
0
11
1125 25
=
11.11%
12%
c)
100900
d)
13000
0
15 . What was the approximate percentage
10)(a)Price of commodityGr8AmbitionZB in January = 1000
Price of
commodity. B in April = 1150 increase in production from 1993 to 1994
1150 1000
a)
6 0
b)4 0
c)
1 1
0 d)
3 0
Increase
= 100
ww
1000 =
w
150x1
00 15
%
100
0
QUANTITATIVE
APTITUDE
Ans:
-
I
V.
Directions (Qs. 16-20):- Study the
follow-
11.
(c)
Average
production
ing graph carefully and answer the
questions
given below it:
80 110 100 130 65 120
=
INCOME AND EXPENDITURE OF A
6 COMPANY OVER THE YEARS
605
(In lakhs
Rupees)
= INCOM
6 E
Pantech ProEd Pvt Ltd - Trichy
9. Pantech ProEd Pvt Ltd-Trichy
EXPENDITURE
=
100.833 thousand tonnes .
com
=
1009
00
tonn
es 6
0
6
0 6 0
ie. production in 1993, 1995 and 1997 5 0
was below the
average.
4
0
4
0
12.(b) Production in 1996 = 130 thousand Lak
hs
4
0
3 5
tonn
es.
3
0 3 0
3
0
Production in 1997 = 65 thousand
tonnes i
n
2
2 0
0
130 65
Rupees
decrease= 130 100
=
65
x1
00 = 50%
19
94
19
95
19
96
19
97
19
98
130
Year
s
13.(b). Total production in 1993 and 1998
16
.
What was the difference in profit
between
=
80+1
20 =
200
1995 and 1996?
50
a)
Rs. 10 lakhs
b)
Rs. 5 lakhs
50% of 200
=
x 200 100 c)
Rs. 15 lakhs
d)
No profit
100
ie, the production in 1995 was 50% of
17
. In the case of how many years was the
income more than the average income of the
the total production in 1993 and 1998. given
years?
14.(c).Average production = 100900 tonnes. a)
one
b)
tw
o
Therefore the minimum production in
c)
three
d)
fo
ur
1999 will be 100900 tonnes 18 . What was the percentage increase in 15.(b). Production in 1993 = 80 thousand
Pantech ProEd Pvt Ltd - Trichy
10. Pantech ProEd Pvt Ltd-Trichy
tonnes. expenditure from 1996 to 1997?
Production in 1994 = 110 thousand
tonnes 1
a)
1
0
b)
33
Increase 3
Gr8AmbitionZ2
110.80
2
30
0 100
c)
66
d)
= x100 40% 3
80 80 19 . The income in 1996 was equal to the
expenditure of which of the following years?
a)
19
94
b)
19
95
c)
19
97
d)
19
98
QUANTITATIVE
APTITUDE
20
.
In which of the following years was the
a)
Rs.
250000
0
b)
R
s.
375000
0
profit the
maximum? c)
Rs.
500000
0
d)
R
s.
600000
0
a)
19
94
b)
19
95 22 . Out of the following, the country spent
c)
19
96
d)
19
98 the same amount on
Ans
:-
a)
Hockey and
Tennis
16.(a).Profit in 1995 = 50-30=Rs. 20 lakhs
b)
Golf and foot ball
Profit in 1996 = 40-30 = Rs. 10 lakhs
c) Cricket and Foot ball
Difference in profit=20-10=Rs. 10 lakhs
d)
Football and
Hockey
.
com
17.
(c) Average income
23 . Pie-chart shows that the most popular
Pantech ProEd Pvt Ltd - Trichy
11. Pantech ProEd Pvt Ltd-Trichy
240
48
30 50 40 60 60
game of the country is (on the basis of
money
= =
spen
5 5 t)
Therefore in 1995, 1997 and 1998, the
a)
Cricket
b)
Foot ball
income is more than the average income
c)
Basket ball
d)
Hockey
18.(b) Expenditure in 1996 = Rs. 30 lakh 24 . The ratio of the total amount spent on
Expenditure in 1997 = Rs. 40 lakh
football to that spent on hockey
is
Increas
e
a)
1:15
b)
1:
1
40 30
10
1
c)
15:1
d)
3:20
= 100 x100 33 %
30
30 3
25 . If the total amount spent on sports dur-
19.
(c)
The income in 1996 was equal to
the
ing the year was Rs. 12000000, how much
was spent on basket
ball?
expenditure in 1997 ie Rs. 40 lakhs. a)
Rs. 950000
b)
Rs. 1000000
20.(d) The profit is maximum in the year
c)
Rs. 1200000
d)
Rs. 1500000
199
8 .
V.
Directions (Qs. 21-25) The pie-chart
Ans:
-
dra
wn below shows the spendings of a coun- 21.
try on various sports during a particular (d) The amount spent on Cricket and
year. Hock
Study the pie-chart and answer
ey
carefully
the
questions given below
it.
=
15000000x4
0
PERCENT OF MONEY SPENT ON Rs.6000000
VARIOUS 100
SPORTS FOR ONE
YEAR
22.(d) The country spent the same amount
on football and hockey
Ten
n is Golf
23.
1 0
1 2 . 5
%
%
(a) The most popular game is cricket Other
s
Basket
24.
1 0 %
(b) The required ratio = 15:15 = 1:1
ball
12.
5% 25.
(d) The amount spent on basket ball
Cric
ket Foot Ball
2
5
Gr8AmbitionZ
%
1 5 % . Hockey = 12000000x12.5
Pantech ProEd Pvt Ltd - Trichy
12. Pantech ProEd Pvt Ltd-Trichy
100
1
5
%
21. If the total amount spent on sports during
= Rs. 1500000
the year was Rs. 15000000, the amount spent
on cricket and hockey together was
www
QUANTITATIVE APTITUDE
PRACTICE
TEST
Directions (Qs. 6-10) : Study the following
table
Directions (Qs. 1-5) The table below gives the carefully and answer the questions given
production capacity (in thousands units) and below it.
the percent utilisation in respect of three prod- NUMBER OF STUDENTS WHO GO
ABROAD
ucts (A,B and C) over five years for an
FOR
STUDY
organisation. Study the table carefully and
Ye
ar
answer the questions that
follow. State/U. T.
P
roduct
1 9
9 0
1 9
9 1
1 9
9 2
1 9
9 3
1 9 9
4
Maharashtra
7 3
2
8
4
0
9
0
0
com9 2
To
tal
Ye 0 9 2 5
ar A B C
Capacity
Cap
acity
Utilis
ation
Ca
pac
ity
Utilis
ation
Cap
acity
Utilisat
ion A +B + C )
Kera
la
1 0
3 5
9
4
0
1 2
0 0
1 4 0 0 1 5 0
0
1 9
9 3
1 7
0
7
0
%
2
8
7 5
%
2
4
0
4 0
%
4
3
8 Karnataka
7 5
0
6
0
0
8
3
0
5 7
5
9 0
0
1 9
9 4
2 0
0
6
3
%
3
5
6 0
%
2
6
0
4 0
%
4
9
5 West Bengal
5 0
0
5
5
0
4
5
0
6 0
0
5 2
5
1 9
9 5
2 0
0
6
5
%
3
0
8 0
%
2
7
0
4 0
%
5
0
0
Delh
i
1 5
0 0
1 6
2 5
1 7
0 0
1 4 7 5 1 8 0
0
1 9
9 6
2 1
0
6
0
%
4
0
5 0
%
2
6
0
4 5
%
5
1
0
And
hra
prade
sh
8 0
0
8
4
0
8
7
5
9 2
5
7 8
5
1 9
9 7
2 2
5
6
0
%
4
0
5 5
%
2
6
0
5 0
%
5
2
5
T
otal
5 3
0 8
5 3
9 5
5 9
5 5
5 8 9 5 6 4 3
4
1 .
Approximately
,
wh
at
was
the
overall
6 . From which State/U.T, did the least
num-ber
of students go abroad over the years
among
Pantech ProEd Pvt Ltd - Trichy
13. Pantech ProEd Pvt Ltd-Trichy
utilisation for all products taken together for
the given States /
U.T.s?
the
year
199
3? a)
Karnatak
a
a)
5 0
%
b)
5 5 %
b)
Ker
ala
c)
6 0
%
d)
6 5 %
c)
West Bengal
2 . What is the approximate overall growth
d)
Maharashtra
7
.
What was the percent increase
in
nu
rate in respect of total capacity for the period m-shown
? ber of students from West Bengal from 1992
a)
5
%
b)
1 0 %
to 1993?
1
c)
1 5
%
d)
2 0 % a)
2 5 b)
33 3 . In which of the following years was the
3
production of product A the maximum for all 2
c)
5 0
d) 66
period
shown? 3
a)
19
93
b)
19 97
8
.
I
n the case of which State/ U.T. was
c)
19
96
d)
19 94 there an increase and decrease respectively
4 . What is the average production of prod-in
the number of students in alternate years?
a)Andhra
Pradesh
uct B over the period shown? b)
Del
hi
a)
21,6
00
b)
24,200
c)
Karnatak
a
c)
34,6
00
d)
28,800
d)
West Bengal
5 .
Gr8AmbitionZ
In which of the following years was the 9
In the case of which State/U.T. was
.
there .
production of product C the minimum for the a continuous increase in the number of stu-period
dents over the given
shown?
years?
a)
19
97
b)
19 94
a)
Del
hi
c)
19
93
d)
19 96
b)
Maharashtra
c)
Andhra
Pradesh
d)
Karnatak
a
Pantech ProEd Pvt Ltd - Trichy
14. Pantech ProEd Pvt Ltd-Trichy
QUANTITATIVE APTITUDE
10 . In which year did Kerala contribute
ap-
a)
19
90
b)
19
91
proximately one-fifth of the total number of
c)
19
92
d)
19
students in that 93
year?
Direction (Qs. 11-15): Study the following table carefully and answer the questions
given
below it. .
co
NUMBER OF CANDIDATES APPEARED AND QUALIFIED
UNDER
VARIOUS DISCIPLINES IN AN EXAMINATION OVER THE
YEARS
ART
S SCIENCE
COMMERC
E
AGRICULTUR
E
ENGGINEERI
YEA NG
R
TOTAL
Ap
p.
Qu
al.
App
.
Qual
.
App
.
Qu
al.
Ap
p.
Qu
al.
Ap
p.
Qual
.
Ap
p.
Qu
al.
19
92
8 5
0
2
0
0
16
14
4 0
2
7 5
0
2 1
2
6
1
4
1 7
0
8
0
1
2 7
0
46
29
12
54
19
93
12
14
3
1
5
18
26
4 2
0
8 0
0
2 2
0
5
8
0
1 5
0
9
3
4
3 5
0
53
54
14
55
19
94
9 7
5
2
5
0
19
70
5 0
0
8 6
0
2 6
0
6
2
4
1 6
0
7
4
2
3 0
0
51
71
14
70
19
95
8 2
0
1
9
6
15
60
4 5
0
8 4
2
3 0
0
4
9
0
1 6
0
8
5
0
3 1
2
45
62
14
18
19
96
14
12
3
7
8
21
20
6 2
5
11
05
3 2
0
7
6
0
2 0
0
6
4
2
3 0
1
60
39
18
24
19
97
7 3
8
3
5
9
35
06
8 8
0
12
40
3 0
8
6
4
0
2 1
0
9
6
2
4 0
0
70
86
21
57
11 . In which of the following disciplines
was
percentage of qualified to the appeared
ones
a)
there a continuous increase in the number
of in engineering discipline the maximum?
candidates appeared over the given years? 19
94
b)
19
95
a)
Agricultur
e
b)
Arts
c)
19
97
d)
19
96
Pantech ProEd Pvt Ltd - Trichy
15. Pantech ProEd Pvt Ltd-Trichy
c)
Scienc
e
d)
Non
e Direction (16-20) : Study the following graph
12 . What was the percentage drop in care-num-
fully and answer the questions given below:
ber of candidates qualified in Science
discipline Production of three types of vehicles
from 1994 to 1995? by a
a)
1
0
b)
2 0
company over the years (in
thousand)
Type A Type B
Type
C
c)
2
5
d)
5 0
13 . The number of candidates appeared
un- 4 0
__________________________________
der Agriculture in 1995 was approximately
_______________________________
___
what percentage of number of candidates
quali-
3
5
fied under Arts in 1994?
VE
3
0
_______________________________
4
0
0
___ a)
b)
2 0
0
2
5
_______________________________
___
c)
1
0
0
d)
2 0
Gr8AmbitionZ
_______________________________
___
14 . In which of the following years was the OF 2 0
.
percentage of total number of candidates of
NU 1 5
_______________________________
all the disciplines together qualified to the ___
ap-peared
ones, the
maximum? 1 0
_______________________________
___
a)
19
93
b)
19
94 5
_______________________________
___
c)
19
95
d)
19
96
0
_______________________________
15 . In which of the following years was ___
the
www
19
84 '85
'90 '86
'
87
'8
8
'
89
QUANTITATIVE APTITUDE
16
.
What was the percentage increase in the 21
.
In which of the following years was the
production of C type vehicles from 1985 to difference between the income and the ex-
Pantech ProEd Pvt Ltd - Trichy
16. Pantech ProEd Pvt Ltd-Trichy
1986
?
penditure the
maximum?
a)
1
0
b)
5 a)
19
88
b)
19
91
c)
2
0
d)
None of
these
c)
19
86
d)
19
87
17 . The number of A type vehicles produced 22
. The income in 1987 in 1986 was what percent of the number of C was equal to the
type vehicles produced in
1988?
2
expenditure in which of the following years?
1 .
1990com
only
a)
33
b)
a)
1985 only
b)
3 3
1
5
c)
5
0
d)
c)
1985, 1989 and 1991
18 . In how many years was the production
d)
1988 and
1989
of A type vehicles less than its average pro-
23
. What was the approximate percentage
duction over the given
years? drop in expenditure from 1988 to 1989?
a)
2
b)
4
a)
3 5 b) 2 5
c)
7 5 d) 4 0
c)
3
d)
1 24 . What was the percentage increase in
in- 19
. What was average number of B type ve- come from 1987 to 1988?
hicles produced by the company over the
years? 6 0 d) 1 2 5
a)
1 7
5
b) 7 5
c)
a)
20,0
00
b)
25,0
00
25
.
In how many of the given years was
the
c)
15,0
00
d)30,0
00
expenditure more than the
income?
a)
1
b) 3
c)
4 d) 2
20
. In which of the following years was the
total production of all the three types of ve- Directions (26-30)
hicles 60,000?
19
The pie chart given below shows the expen- 85
a)
b)
19
86
19
diture incurred in bringing out a book, by a 87
c)
d)
19
88
publisher.
Directions (Qs. 21 - 25) : Study the
following
Pantech ProEd Pvt Ltd - Trichy
17. Pantech ProEd Pvt Ltd-Trichy
graph carefully and answer the questions Printing
given below
it.
3
6
%
Income and Expenditure of a Company over Binding
the years (Rs. in Pap er
crore) 1 2 %
1 6 %
5
0
INCOME Ca nva ssi ng
EXPENDITURE 1 8 %
4
5 RoyaltyMiscellaneous
4
1 0 % 8 %
0
3
5 Study the graph and answer the questions
3
given below:
0
2
2 6 What is the central angle showing the
5
Gr8AmbitionZ
2
0
cost of paper?
a)16° b) 3 2 °
c)
28 . 8 °d)
57.6°
1
5
27
. If the cost of printing is Rs. 23400, the
1
0
royalty is:
5
a)
Rs. 6500
b)
Rs. 2340
0
19
85
'86
'87 '88 '89 '90
'
91
c)
Rs. 4680
d)
Rs. 7840
ww
w
YEAR
QUANTITATIVE APTITUDE
Pantech ProEd Pvt Ltd - Trichy
18. Pantech ProEd Pvt Ltd-Trichy
28 . If miscellaneous expenditures amount to
teins in
bones?
Rs. 18000, the expenditure on canvassing will a)
1:2 b) 2:1
c)
18
:1 d) 1:18
be: 32
. What percent to the total weight of the a)
Rs. 8000
b)
Rs. 14400 human body is equivalent of the weight of
the
c)
Rs.
4680
0
d)
Rs.
40500
skin in the human
body? co
m
29 . Royalty on the book is less than
canvass- a) 0.016 b) 1.6
c)
0 .
16
ing expenditure by:
8
d) Insufficient information %
a)
b)
8 0 % 33
. To show the distribution of proteins and
.
c)
44
4
%
d)
None
other dry elements in the human body, the
arc
9 of the circle should subtend at the centre an
30 . If 5500 copies are published and miscel-angle
of
laneous expenditures amount to Rs. 36960 a) 1 2 6 ° b) 5 4 ° c) 1 0 8 ° d) 2 5 2 °
and 34
. What will be the quantity of water in the
the marked price is 40% above cost price,
then
the marked price of each copy
is:
body of a person weighing 50
kg?
a)
Rs.
122.5
0
b)
Rs.
117.60
a)
35
kg
b)
120
kg
c)
Rs.
126.4
0
d)
Rs.
92.40
c)
71.42 kg
d)
20
kg
Directions (31-35)
35
.
What part of the human body is made
of
Study the following graphs carefully and
neither bones nor skin?
answer the questions that follow: 2
11
1 3
a)
b)
c)
d)
Distribution of proteins in human body. 5
15
40
80
Directions (36-40) Study the following
graph
1 / 3 carefully and answer the questions given
be-
Skin l
o
w
Pantech ProEd Pvt Ltd - Trichy
19. Pantech ProEd Pvt Ltd-Trichy
m u s
cl e India's Export of rice over the years (in
1 / 1 lakh
0
H or m o
ne s
4
0
tonn
b o n es)
enzymes e s
and
1 / 6 3
5
other
proteins
Graph
- I
3
0
2
5
2
8 2
6
2
7
2
Distribution of Elements in the human 5
body. 2
2 1
0
0
8
Protein
1
5
1
5
1 6 % Other
dry ele- 1
men
14
ts
%
0 WaterGr8AmbitionZ70%
. 5
1991
19
92
19
93
1994
19
95
19
96
19
97
Graph - II
YEA
R
31 . What is the ratio of distribution of pro-
36
. What was the percentage increase in
teins in the muscles to the distribution of pro- export of rice from 1991 to 1992?
www
a)
3 0 b) 2 0
c)
1
5 d) 2 5
QUANTITATIVE APTITUDE
37 . The total export of rice in 1994 was
what
a)
80,00,00
0
b)
8,00,00
0
c)
8,00,00,000
d)
No
percent of the total export in the year 1991 ne
and 1993? 43 . What was the approximate percentage
a)
6
0
b)
5
0
c)
3
0
d) 4 0 drop in export quantity from 1983 to 1984?
a 2 b) 1 c 4 d) 8 2
Pantech ProEd Pvt Ltd - Trichy
20. Pantech ProEd Pvt Ltd-Trichy
38 . What was the percentage drop in the )
) 0
export of rice in the year 1994 as
2
compared 44 . If in 1987 the garments were exported
to the year
1993? at the same rate 8
per piece as that in 1985,
a)
2
5
b)
3
0
c)
3
5 d) 2 0
what could be the approximate value in
crores
of rupees of exports in
1987? .
com
39 . In how many years the export of rice
a)
10
40
b)
7
2
6
were less than the average export in the
given
years
?
c)
9 3
4
d)
7
3
2
a)
3
b)
2
c)
4 d) 5
45 . In which of the given years the value
per
40 . In which of the following pair of years piece was minimum?
the difference in export is maximum?
a)
19
87
b)
19
84
a)
1993-1997
b)
1994-1996
c)
19
85
d)19
86
c)
1991-1993
d)
1992-1994
Directions (46-50) Study the following
graph
Directions (41-45) Study the following
graph
carefully and answer the following
questions.
carefully and answer the questions given
be-
Demand and Production of Colour T.V.s
of
low it.
Five Companies for October
1988
India's garment exports Production
Dema
nd
3 3
0 0
(Quantity in lakh
pieces)
30
590
(Value in Rs. Crores.) 00
2 5 0 0
2 7
0 0
Quantit
y,
Val
ue
550
2200
1800 450
420
1 5 0
0 1 2
0 0
400 39
0 1 0 0 0
260
6
0
0
Pantech ProEd Pvt Ltd - Trichy
21. Pantech ProEd Pvt Ltd-Trichy
22
0
180
210
A B C D E
Compan
ies
1983
1984
198
5
19
86
19
87 46 . What is the ratio of companies having
more demand than production to those
having
Gr8AmbitionZ
41 . What was the percent increase in export more production than demand?
.
a)
2:3 b) 4:1
c)
2:
value from 1983 to 1986? 2 d) 3:2
a)
1
0
0
b)
25.
9
c)
37
. 5
d) 1 3
5
47 . What is the difference between average
demand and average production of the five
42 . What was the difference between the
companies taken together?
pieces of garments exported in
1984
and a)14
00
b)
4
0
0
1
ww
1985?
3
8 w
c)
2 8
0
d)
QUANTITATIVE APTITUDE
48 . The production of company D is
approxi-
51 . In
which
standard is the difference be-tween
the results of girls and boys
mately how many times that of the produc- maximum?
tion of the company
A?
a)
V b)
VI
I
a)
1
.
8
b) 1 .
5
c)
2 .
5
d) 1 .
11
c)
X d)
VI
II
49
The demand for company `B' is
approxi-
52 . In which standard is the result of boys
Pantech ProEd Pvt Ltd - Trichy
22. Pantech ProEd Pvt Ltd-Trichy
.
mately what percent of the demand for
com- more than the average result of the girls?
pany `C'? a)
VI
I
IX a)
cmo b)
4
b) 2
4
c)
2
0 d) 6 0
c)
VI
d)
VI
II
50
. If company `A' desire to meet the de-
.
53 . In which pair of standards are the
mand by purchasing surplus T.V. sets from results
a
of girls and boys in inverse proportion?
single company, which one of the following
a)
V&X
b)
VI &
companies can meet the need adequately? IX
a)
B b) C
c)
D
c)
VI & VIII
d)
V &
IX
d)
None of
these
54 . In which standard is the result of the
girls
Directions (51-
55)
less than the average result of the boys of
the
scho
Study the following graph and answer ol?
the a)
IX
b)
VI
II
questions given c)
VI
d)
VI
I
Result of Annual Examination In a High School
55 .
In which standard is the failure of girls
result of boys 9 result of girls
0
lowe
st?
8 0
8
0
a)
IX
b)
VI
I
8
0
7 0
7
0
c)
VI
II
d)
V
7
0
6
0
6
0 6 0
6
0
Leg
end
4
0
V
VI
VII
V II
I
I
X X
Stand
Pantech ProEd Pvt Ltd - Trichy