Overview of descriptive analysis the aim of all descriptive techniques is to generate quantitative data which describes the similarities and differences among a set of products. These articles will discuss creating your statistical analysis plan, levels of measurement, descriptive statistics, probability theory, inferential statistics, and general considerations for interpretation of the results of a statistical analysis. Since eviews creates new objects with everything you do. Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of it.
Understand your data in r using descriptive statistics. Eviews gareth, eviews jason, eviews steve, eviews moderator. Descriptive statistics these views display the summary statistics of each series in the group. Are the following interpretations of eviews output correct.
Scope papers collection of statistical papers first published in scope edited by j v freeman. Chapter 200 descriptive statistics introduction this procedure summarizes variables both statistically and graphically. Descriptive statistics on a constant series post by startz. One method of obtaining descriptive statistics is to use the sapply function with a specified summary statistic.
Feb 25, 2017 this feature is not available right now. Common uses of descriptive accounts in education research and practice 7 box 6. Scope papers collection of statistical papers first. Before engaging any regression analysis, it is essential to have a feel of your data. In this tutorial, good practice guidelines for presentation of data in figures are given. Each method is briefly described and includes a recipe in r that you can run yourself or copy and adapt to your own needs. This summary is unlikely to be meaningful to you at this time, but it.
Synopsis levels of quantitative description types of data analysis statistical measures applied to descriptive analysis measures of central tendencyaverage mean median mode measure of spreaddispersion range variance standard deviation measure of relative position standard scores percentile rank percentile score measures of relationship. A comprehensive and accessible guide to panel data analysis using eviews software this book explores the use of eviews software in creating panel data analysis using appropriate empirical models and real datasets. A measure of central tendency includes the mean, median and mode. An introduction to performing statistical analysis in eviews. This handson tutorial teaches how to run descriptive analysis in. The types will indicate the types of further analysis, types of visualization and even the types of machine learning algorithms that you can use.
In this study the bursa malaysia composite index and sectorial indices were. These functions compute descriptive statistics for a specified sample, excluding missing values if necessary. The brief final section offers some concluding remarks. Two options are available, one uses only the observations in common for the variables listed. Interpreting the results and trends beyond this involves inferential statistics that is a separate branch altogether. In descriptive statistics, we simply state what the data shows and tells us. If you are performing these computations on a series and placing the results into a series, you can specify a sample as the last argument of the descriptive statistic function, either. Please ensure your copy of eviews is uptodate before posting. Information about the location center, spread variability, and distribution is provided. Chapter xvi presenting simple descriptive statistics from.
Whether the goal is to identify and describe trends and variation in populations, create new measures of key phenomena, or describe samples in studies aimed at identifying causal effects, description plays a critical role in the scientific process in general and education research in particular. An example of using descriptive analysis to evaluate plausible causes and generate hypotheses 4 box 4. Eviews 9 student version is an inexpensive version of eviews 9 that is targeted for instructional use in the areas of econometric analysis, forecasting, and statistics, available for both windows and mac operating systems. The procedure provides a large variety of statistical information about a single variable. This th article of the basics of research series is first in a short series on statistical analysis. Although not every statistical procedure is discribed, this tutorial should provide enough understanding to get you started. For example, it would not be useful to know that all of the participants in our example wore. Jun 27, 2019 descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of it. Descriptive statistics and distribution functions in eviews. R provides a wide range of functions for obtaining summary statistics.
With eviews you can develop a statistical relation from your data and then use the relation to forecast future values of the data. Explore 17 apps like eviews, all suggested and ranked by the alternativeto user community. Provides stepbystep guidance on how to apply eviews software to panel data analysis using appropriate empirical models and real datasets. Term used by sensory scientists to describe processes by which human panelists are used to identify the odor active compounds in a product definition a statement of.
Descriptive statistics are used to describe or summarize data in ways that are meaningful and useful. The data were analyzed descriptively in terms of measures of central tendency and measures of variability. Descriptive statistics panel data analysis workshop6 may 2018 22. Feb 03, 2016 java project tutorial make login and register form step by step using netbeans and mysql database duration. Plots can be created that show the data and indicating summary statistics.
Eviews will calculate descriptive statistics for some or all the variables in a workfile. Eviews will compute descriptive statistics for m1 and change the series view to display a table of results. Each of these objects can be copied, saved, cutandpasted into other windows programs, or used for further analysis. All assumptions used in the study will be presented. Time series analysis descriptive analysis of a time series. Introduction to eviews 10 principles of econometrics. It provides information about the qualitative as well as the quantitative evaluation of food and it is widely used for obtaining detailed description about the aroma, flavour and overall texture of the food product. I need to be able to critically assess a regression analysis printout from eviews sample attached and be able to identify possible issues i. This might include examining the mean or median of numeric data or the frequency of observations for nominal data.
Descriptive statistics health economics research method 20032 descriptive analysis the transformation of raw data into a form that will make them easy to understand and interpret. Detailed descriptive analysis and specifics analysis will be provided if necessary. The interpretation of historical data to better understand changes that have happened in a business. In this study the bursa malaysia composite index and sectorial indices were analysed a total of eleven sets of data were used. Eviews organizes data, graphs, output, and so forth, as objects. Video 1 estimating and interpreting descriptive stats and plots on eviews duration. Eviews analysis output the eviews outputs for the industrial sector are shown in appendices. When analysing data, such as the marks achieved by 100 students for a piece of coursework, it is possible to use both descriptive and. Popular alternatives to eviews for windows, mac, linux, web, bsd and more.
Understanding descriptive and inferential statistics. Review and cite descriptive analysis protocol, troubleshooting and other methodology information contact experts in descriptive analysis to get answers. Eviews serial number is a modern analytical tool which is very flexible to use. Eviews will evaluate the function for each observation in the current sample. Panel data analysis using eviews kindle edition by agung, i.
The minimized value is output in eviews and has no direct use, but is used as inputs in other diagnostics and used to compare between models. Steps in a descriptive analysisan iterative process 8 box 7. Download it once and read it on your kindle device, pc, phones or tablets. Use features like bookmarks, note taking and highlighting while reading panel data analysis using eviews.
Examines a variety of panel data models along with the authors own empirical findings, demonstrating the advantages and limitations of each model. Use of statistics to describe the results of an experiment or investigation. Browse other questions tagged regression descriptivestatistics eviews. Descriptive statistics are used to summarize data in a way that provides insight into the information contained in the data. Those values can take the form of a number or text which could be converted into number.
We used eviews in our econometrics basics class, now stata in the advanced class. When analysing data, such as the marks achieved by 100 students for a piece of coursework, it is possible to use both descriptive and inferential statistics in your analysis of their marks. Interpreting regression analysis output from eviews. Page 3 contents the visual display of quantitative. Descriptive statistics on a constant series for notifying us of what you believe are bugs or errors in eviews. As with other functions, na or invalid inputs will yield na. Descriptive statistics implies a simple quantitative summary of a data set that has been collected. Additionally, perhaps some attributes were loaded as one type e. Understanding descriptive and inferential statistics laerd.
In this section, you will discover 8 quick and simple ways to summarize your dataset. An example of using descriptive analysis to interpret causal research 5 box 5. That is, what are the distinctive features of each variable that make u. Guidance is given on developing alternative descriptive statistical summaries for evaluation and providing policy analysis based on pool panel data. A collection of objects can be saved together in a work. Descriptive techniques often include constructing tables of means and quantiles, measures of dispersion such as variance or standard deviation, and crosstabulations or crosstabs that can be used to examine many disparate hypotheses.
Manage your data and further perform econometric analysis, generate forecasts or either model simulations. Some of the reasons could be to explore the behaviour of a variable across a sample of groups e. Descriptive analytics simply describes the past using a range of data to. How to test unit root and remove unit root from data and how to make data stationary using eviews duration. Eviews enables you to do more than the conventional excel analysis. Descriptive analysis is an important part of sensory evaluation. Individual samples computes the statistics using all nonmissing observations for each series listwise deletion. I didnt work with r much, just some descriptive statistics stuff, however our professor mentioned that its not used that much in a non academic environment, since its open source and companies prefer to use software that comes with support. For example, if an experiment is conducted to understand the effect of news stories on a persons risk taking behavior, the experimenter might start. Time series analysis descriptive analysis of a time series andr es m. In this chapter the results and computer analysis output will be discussed in detail. It helps us understand the experiment or data set in detail and tells us everything we need to.
922 710 877 1487 165 1095 635 884 1070 213 226 575 364 249 1420 1239 1555 401 194 1282 203 1331 1233 40 18 486 1401 562 1279 245 988 690