IGNOU ECO 07 Elements of Statistics | Guess Paper | Important Question Answer | Bachelor of Business Administration (BBA)

IGNOU ECO 07 Elements of Statistics | Guess Paper | Important Question Answer | Bachelor of Business Administration (BBA) (Paperback, BMA Publication)

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IGNOU ECO 07 Elements of Statistics | Guess Paper | Important Question Answer | Bachelor of Business Administration (BBA)  (Paperback, BMA Publication)

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    Highlights
    • Binding: Paperback
    • Publisher: BMA Publication
    • ISBN: 9784394619215
    • Edition: Latest, 2025
    • Pages: 80
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  • Description
    Introduction to Statistics: Understand the basic concepts of statistics, including data types (qualitative and quantitative), levels of measurement (nominal, ordinal, interval, ratio), and the role of statistics in decision-making. Descriptive Statistics: Learn techniques for summarizing and presenting data, including measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation). Probability Theory: Study the fundamental principles of probability, including sample spaces, events, probability axioms, conditional probability, and independence of events. Probability Distributions: Understand different probability distributions, such as the binomial distribution, normal distribution, and Poisson distribution. Learn about their properties and applications. Sampling Theory: Familiarize yourself with sampling techniques and methods, including simple random sampling, stratified sampling, systematic sampling, and cluster sampling. Understand the advantages and disadvantages of each method. Statistical Inference: Learn about estimation and hypothesis testing. Understand how to estimate population parameters from sample data and make inferences about population characteristics. Statistical Tests: Study common statistical tests such as t-tests, chi-square tests, and ANOVA (analysis of variance). Understand when and how to use these tests to compare means, proportions, and variances. Correlation and Regression Analysis: Learn about the relationship between two variables using correlation analysis. Understand the principles of linear regression analysis and how to interpret regression coefficients. Time Series Analysis: Study techniques for analyzing time series data, including trend analysis, seasonal variation, and forecasting methods.
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    Specifications
    Book Details
    Publication Year
    • 2025
    Edition Type
    • LATEST EDITION
    Book Type
    • spiral binding
    Exam
    • University
    Number of Pages
    • 80
    Net Quantity
    • 1
    University Books Details
    Stream
    • Bachelor / Master / PG Diploma
    Degree/Diploma
    • Degree
    Additional Features
    Age Group
    • 22
    Dimensions
    Width
    • 21
    Height
    • 29.7
    Depth
    • 5
    Weight
    • 0.4
    In The Box
    • 1
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    1 Item
    252
    1 Add-on
    250
    Total
    502
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