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Scope and importance of Statistics:1. Statistics and planning: Statistics in indispensable into planning in the modern age which is termed as "the age of planning". Almost all over the world the govt. are re-storing to planning for economic development.2. Statistics and economics: Statistical data and techniques of statistical analysis have to immensely useful involving economical problem. Such as wages, price, time series analysis, demand analysis.3. Statistics and business: Statistics is an irresponsible tool of production control. Business executive are relying more and more on statistical techniques for studying the much and desire of the valued customers.4. Statistics and industry: In industry statistics is widely used inequality control. In production engineering to find out whether the product is confirming to the specifications or not. Statistical tools, such as inspection plan, control chart etc.5. Statistics and mathematics: Statistics are intimately related recent advancements in statistical technique are the outcome of wide applications of mathematics.6. Statistics and modern science: In medical science the statistical tools for collection, presentation and analysis of observed facts relating to causes and incidence of dieses and the result of application various drugs and medicine are of great importance.7. Statistics, psychology and education: In education and physiology statistics has found wide application such as, determining or to determine the reliability and validity to a test, factor analysis etc.8. Statistics and war: In war the theory of decision function can be a great assistance to the military and personal to plan "maximum destruction with minimum effort."
The most widely used technique in collecting data for job analysis is _________.the interviewobservationthe ncumbentirethe incumbent diary
Consumer price index
It varies widely, from year to year, but on average Mississippi gets about 45 tornadoes per year.
No, SPSS (Statistical Package for the Social Sciences) is not limited to qualitative data analysis only. In fact, SPSS is primarily designed for quantitative data analysis, which involves analyzing numerical data using statistical techniques. It is widely used in fields such as social sciences, psychology, economics, and market research. SPSS provides a range of features and tools for SPSS quantitative data analysis, including: Descriptive statistics: SPSS allows you to calculate and summarize descriptive statistics such as means, standard deviations, frequencies, and percentages. These statistics provide an overview of the distribution and characteristics of your data. Inferential statistics: SPSS offers a variety of statistical tests for making inferences about populations based on sample data. These tests include t-tests, ANOVA (Analysis of Variance), chi-square tests, correlation analysis, regression analysis, and more. Data manipulation: SPSS provides functionalities to manipulate and transform data. You can recode variables, compute new variables, merge datasets, filter cases, and perform various data transformations to prepare your data for analysis. Data visualization: SPSS enables you to create charts, graphs, and plots to visually represent your data. This helps in understanding patterns, relationships, and trends in the data. Advanced statistical techniques: In addition to basic statistical tests, SPSS also supports more advanced techniques. For example, it offers tools for factor analysis, cluster analysis, discriminant analysis, survival analysis, and nonparametric tests.