# BCS-040: Statistical Techniques

### Question Papers

### Books

#### Reference Book

Reference book of BCS-040 from GPH publications. Solved question papers and important topics to cover syllabus in limited time. To purchase click the link below :

#### IGNOU Study Material in pdf

Download free pdf files of BCS-040 from eGyankosh. Covers all units of all blocks.

### Syllabus

### BLOCK 1 : Statistics and Probability

#### Unit 1 : Descriptive Statistics

Collecting Data, Kinds of Data, Frequency Distribution of a Variable, Graphical Representation of Frequency Distribution, Summarisation of Data, Measures of Central Tendency, Measures of Dispersion or Variability

#### Unit 2 : Probability Concepts

Preliminaries, Trials, Sample Space, Events, Algebra of Events, Probability Concepts, Probability of an Event, Probability of Compound Events, Conditional Probability and Independent Events

#### Unit 3 : Probability Distributions

Random Variable, Discrete Random Variable, Continuous Random Variable, Binomial Distribution, Poisson Distribution, Uniform Distribution, Normal Distribution

### BLOCK 2: Statistical Inference

#### Unit 4 : Sampling Distributions

Population and Samples, What is a Sampling Distribution, t-distribution, Chi-Square distribution F-distribution

#### Unit 5 : Estimation

Point Estimation, Criteria For a Good Estimator, Interval Estimation, Confidence Interval for Mean with Known Variance, Confidence Interval for Mean with Known Variance, Confidence Interval for Proportion

#### Unit 6 : Tests of Significance

Some Basic Concepts, Tests About the Mean, Difference in the Means of Two Populations Test About the Variance

#### Unit 7 : Applications of Chi-Square in Problems with Categorical Data

Goodness-of-fit, Test of Independence

### BLOCK 3: Applied Statistical Methods

#### Unit 8 : Analysis of Variance: One-Way Classification

Analysis of Variance: Basic Concepts, Source of Variance, One-Way Classification Model for One-Way Classification, Test Procedure, Sums of Squares, Preparation of ANOVA Table, Pairwise Comparisons, Unbalanced Data, Random Effects Model

#### Unit 9 : Regression Analysis

Simple Linear Regression, Measures of Goodness of Fit, Multiple Linear Regression, Preliminaries, Regression with Two Independent Variables

#### Unit 10 : Forecasting and Time Series Analysis

Forecasting, Time Series and Their Components ,Long-term Trend, Seasonal Variations, Cyclic Variations, Random Variations/Irregular Fluctuations, Forecasting Models, The Additive Model, The Multiplicative Model, Forecasting Long-term Trends, The Methods of Least Squares, The Methods of Moving Averages, Exponential Smoothing. 37

#### Unit 11 : Statistical Quality Control

Concept of Quality, Nature of Quality Control, Statistical Process Control, Concepts of Variation, Control Charts, Control Charts For Variables, Process Capability Analysis, Control Charts For Attributes, Acceptance Sampling, Sampling Plan Concepts, Single Sampling Plans.

### BLOCK 4: Sampling

#### Unit 12 : Simple Random Sampling and Systematic Sampling

Sampling- What and Why? Preliminaries, Simple Random Sampling, Estimation of Population Parameters Systematic Sampling, Linear Systematic Sampling, Circular Systematic Sampling, Advantages and, Limitations of Systematic Sampling

#### Unit 13 : Stratified Sampling

Stratified Sampling, Preliminaries, Advantages, Estimation of population parameters, Allocation of sample size, Construction of strata, Post-Stratification

#### Unit 14 : Cluster Sampling and Multistage Sampling

Cluster Sampling, Preliminaries, Estimation of population mean, Efficiency of cluster sampling Multistage sampling, Preliminaries, Estimation of mean in two stage sampling